Nebius

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top. You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue. The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another. In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next. This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market. Your responsibilities will include: • Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it. • Shape the product surface on top of the data, so a customer gets something built for their job. • Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in. • Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build. • Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it. • Work with customer success to learn what customers ask us for and what makes them leave. • Partner with the search owner on how results should be ranked and shaped for each use case. We expect you to have: • 5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products. • Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable. • A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found. • Experience in API-first or developer-platform businesses. • Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. • A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs. • The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: • Domain experience in market intelligence, news, financial research, or another data-heavy industry. • Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in-house. • Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need. • Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning (LoRA, full FT, RFT) backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference and fine-tuning platforms for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement optimized inference workflows, build customized LLM-based solutions and architect scalable AI applications using our served models. You will also work closely with our backend team to improve our platform to match clients' needs. You’re welcome to work from Tel Aviv, Israel. Your responsibilities will include: • Optimize LLM inference across various modalities to drive business value and support customer goals • Provide support in supervised and reinforcement learning fine-tuning to maximize model quality for the customers • Design and implement LLM-based solutions using Nebius Token Factory’s inference services • Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models • Provide technical expertise in prompt engineering, RAG architectures and model selection • Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap • Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency We expect you to have: • 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI • Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches • Hands-on experience with: • Running LLMs in production: deploying and operating inference workloads • LLM fine-tuning, including supervised fine-tuning (SFT/LoRA) and data preparation/curation; experience with RL-based fine-tuning is a strong plus • LLM evaluation: building task-specific benchmarks and offline/online eval pipelines, including LLM-as-a-judge setups • Inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers) • Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models • Strong Python programming skills • Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences It would be an added bonus if you have: • Work with multimodal AI models (e.g., vision-language, speech) • Proficiency with DevOps tools (Docker, Kubernetes) • Contributions to open-source ML/AI projects Preferred technical stack: • Programming Languages: Python • ML Frameworks and Libraries: vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs • MLOps and DevOps tools: Kubernetes (K8s), Docker, Git • Cloud Platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) #LI-DK1 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include: • applying reinforcement learning for agent training in long-context multi-turn scenarios • dramatically scaling task data collection to power reinforcement learning for SWE agents • building a decontaminated evaluation for SWE agents that is regularly updated • investigating how test-time guided search can be used to build more powerful agents The results often lead to collaboration with adjacent teams where our research findings are applied in practice. We are currently looking for senior- and staff-level ML engineers to work on research in areas such as: • Guided search and reinforcement learning for agentic systems • Reinforcement learning for reasoning models • Web-scale problem collection for training agents • Efficient model distillation Some examples of what your responsibilities might include are: • Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments • Exploring methods of guided generation and search in the trajectory space • Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training • Conducting experiments with different reinforcement learning configurations in verifiable domains • Exploring methods to train AI agents on tasks with non-verifiable reward signals We expect you to have: • A profound understanding of theoretical foundations of machine learning and reinforcement learning • Deep expertise in modern deep learning for language processing and generation • Substantial experience with training large models on multiple computational nodes • Strong software engineering skills (we mostly use python) • Deep experience with modern deep learning frameworks (we use jax) • Strong communication and leadership abilities • Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor • Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results • Ability to document research findings clearly and contribute to technical publications or report Nice to have: • Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc • Familiarity with important ideas in LLM space, such as RoPE, ZeRO/FSDP, Flash Attention, quantization • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred • Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment • Experience in engineering complex systems, such as large distributed data processing systems or high-load web services • Open-source projects that showcase your engineering prowess • Excellent command of the English language, alongside superior writing, articulation, and communication skills • Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the rendering infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on loading modern web pages in a browser that we patch and build ourselves, so that content is rendered completely and reliably at a cost that works across billions of pages. You will work inside Chromium to remove what we do not need, make the rest faster and cheaper, and keep our build current as Chromium moves. Your work ensures that high-quality content is consistently available to the indexing and retrieval systems downstream. In this position, your responsibility will be to • Change Chromium in its heavy core (Blink, the V8 integration, the compositor, the network service) to cut CPU, memory and startup cost per page • Strip Chromium down for agent workloads: skip what nobody needs, such as image and media decoding, web font downloads, and rasterization and GPU work where no one needs pixels, while keeping what page scripts depend on to run correctly (style, layout, animation frames, observers), and work out what breaks, or renders differently, when you do • Keep the browser compatible with the web: make sure that what we remove does not change how the sites we load behave or render • Profile and tune fleets of browsers: the process model, memory per renderer, startup, isolation and crash handling • Build the production system around it: how browsers are launched, pooled, recycled and monitored You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. Inside the browser • Strong C++ in a large, performance-critical codebase, ideally Chromium, Blink or V8, or a comparable browser engine (Rust is a plus) • Chromium architecture: the process model, Mojo IPC, the rendering pipeline (DOM, style, layout, paint, compositing), and the network service • Building, debugging and shipping custom Chromium builds: the build system, tracing, crash analysis, and maintaining patches across releases Performance and systems • Profiling CPU, memory and I/O for browser fleets, with tools such as perf, tracing and flame graphs • Linux process isolation and resource management, concurrency, and memory management • Have run browsers in production, or built the infrastructure that does, and can describe where the time and memory went Strong candidates may also have experience with • Contributions to Chromium, Blink, V8, Firefox, WebKit or another browser engine • Building or maintaining a patched browser that you wrote the patches for • Browser instrumentation, including the Chrome DevTools Protocol • Working familiarity with how modern frontend frameworks render (SSR, CSR, streaming, hydration) • Distributed systems, Kubernetes, and Go or Python The kind of problems you will work on • Cut the cost of loading a page in half. Where do CPU and memory go, and what would you change in the browser? • Turn off the GPU and image decoding for agent workloads. What breaks, and what changes in how pages load and render? • A page runs a script that never yields. How do we detect and stop it without help from the page? • Chromium ships a new version. How do we bring a large set of patches forward in days, not weeks? • Decide when a page is finished, for pages with analytics beacons, long polling and endless scrolling. We conduct coding interviews as part of the process. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the role Nebius is building cloud infrastructure and AI platforms used at scale. We are looking for a Senior Product Designer to join the Nebius Console team and lead the design of Compute experiences: complex, high-impact workflows used by technical teams to create, configure, monitor, and manage cloud resources. This role is for a designer who enjoys working with complex systems, understands the value of clear interaction models, and can turn technical depth into intuitive, reliable product experiences. Responsibilities • Own end-to-end design for Compute features in Nebius Console, from discovery and problem framing to delivery, launch, and iteration. • Design clear, scalable workflows for complex cloud infrastructure scenarios, including resource creation, configuration, management, monitoring, and troubleshooting. • Translate business goals, technical constraints, and user needs into coherent user journeys, information architecture, and interaction models. • Partner closely with Product Managers, Engineers, Designers, UX Researchers, and other stakeholders throughout the product lifecycle. • Explore and validate design hypotheses through user insights, prototypes, product data, and feedback from internal and external users. • Clearly present design solutions, trade-offs, and rationale to cross-functional teams. • Work closely with engineers during implementation to ensure high-quality execution and consistency. • Contribute to the development and maintenance of the design system, improving consistency, usability, and quality across Nebius Console. • Collaborate within a strong design team through reviews, critiques, shared patterns, and design system contributions. Required qualifications • 6+ years of experience as a Product Designer working on digital products. • Strong product thinking and the ability to approach design through connected user scenarios, product goals, and system constraints. • Experience designing complex B2B, SaaS, developer tools, infrastructure, or admin products. • Ability to balance usability, consistency, technical feasibility, and innovation in complex systems. • Strong systems thinking, attention to detail, and ability to work in a structured, systematic way. • Strong proficiency in Figma, including complex flows, components, variants, and interactive prototypes. • Ability to communicate design decisions clearly and constructively with both product and engineering teams. Nice to have • Experience designing cloud consoles, infrastructure platforms, developer tools, or other technically complex products. • Familiarity with cloud concepts such as virtual machines, compute resources, networking, storage, quotas, permissions, or monitoring. • Experience with UX research, usability testing, customer interviews, or feedback analysis. • Ability to communicate effectively with engineers using basic HTML, CSS, and JavaScript terminology. • Experience working with design systems at scale. What we offer • Competitive salary and a comprehensive benefits package. • A clear and meaningful area of ownership within one of the core parts of the cloud platform. • Opportunities for professional growth as the product, design team, and platform scale. • Flexible work arrangements, with hybrid and remote options depending on location • A collaborative, product-focused environment with close design–engineering partnership. • A strong design team with space for thoughtful critique, shared standards, and high-quality product work. If you enjoy designing complex products, working closely with engineers, and turning technical infrastructure into clear and reliable user experiences, we would be glad to hear from you! Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy. We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing: • Revenue quality • Engineering focus • Product evolution • Customer trust at scale You’re welcome to work remotely from Europe. Your responsibilities will include: Strategic Technical Discovery • Lead deep technical discovery with engineering teams and technical founders • Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies • Translate customer ambition into production-feasible architectures • Identify hidden technical risks early Commercial Acceleration • Partner tightly with Sales on strategic deals • Influence deal strategy through architectural clarity • Prevent misaligned commitments before engineering allocation • Increase PoC-to-production conversion by ensuring technical realism PoC Architecture & Validation • Define measurable success criteria (latency, TTFT, throughput, cost envelope) • Classify workload complexity and required optimization depth • Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.) • Drive structured Go / No-Go decisions • Prevent uncontrolled customization or hidden R&D Pattern Recognition & Platform Leverage • Identify recurring configuration patterns across customers • Quantify demand for advanced optimizations (quantization, speculative decoding, etc.) • Surface structured insights to Product and Engineering • Help evolve platform capabilities based on real workload data We expect you to have: • Deep understanding of AI inference systems and GPU-backed infrastructure • Experience with LLM workloads and performance-sensitive environments • Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM). • Ability to reason about latency, throughput, cost, and architecture tradeoffs • Strong customer presence with engineering-first organizations • Comfort challenging assumptions and pushing back constructively • Commercial awareness – you understand that engineering time is a strategic resource Preferred technical stack: • Programming Languages– Python • Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs • Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent • API and Web Frameworks– FastAPI, Flask • MLOps and DevOps tools– Kubernetes (K8s), Docker, Git • Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) What success looks like: • Strategic deals are technically sound before engineering engagement • PoCs are clearly scoped and economically justified • Engineering capacity is allocated predictably • Conversion to production improves • Customers view you as a trusted architectural advisor Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The YDB Development Team at Nebius is hiring mid- and senior-level software developers with C++ expertise. YDB is an open-source platform with two roles within Nebius: • Providing the binary object storage foundation for S3 Object Storage, Shared Filesystems and Network Block Storage • Serving as a distributed relational database and message broker for services such as IAM, billing, audit trails and logging We operate YDB clusters in more than 10 regions using HDD and NVMe storage. Individual clusters span tens of thousands of nodes, manage hundreds of petabytes of data and deliver terabytes per second of throughput. Our infrastructure includes x86 and Arm-based systems, including NVIDIA GB300 nodes. What you’ll work on • Evolve YDB’s architecture for new hardware, redesigning core components when incremental optimization is insufficient: • QLC NVMe drives: increase storage density while controlling RAM/CPU consumption and write amplification • Dual 800 Gb/s network adapters: reduce CPU overhead and memory bandwidth consumption to utilize the available NIC bandwidth • NVIDIA GB300-based systems: ensure efficient operation on Arm-based hosts and offload storage and networking processing to BlueField DPUs • Support high-capacity SMR HDDs by designing data placement, sequential writes, garbage collection and recovery around zoned-write constraints • Develop wide erasure-coding schemes to reduce space aplimfication while maintaining durability and availability • Reduce recovery and rebalancing times after device outages while limiting the impact on foreground workloads • Prevent, detect and recover from silent data corruption across memory, networking and storage • Provide the system capabilities and interfaces required by fleet-wide automation so that hundreds of production clusters can be deployed, configured, upgraded, diagnosed and operated consistently We move quickly and focus on delivering practical value. Features and optimizations merged into the production branch are typically deployed within weeks. You’ll see your work solving real problems in live clusters—not waiting years to make an impact. Requirements: • 5+ years of professional experience developing high-load systems in C or C++. Candidates with 3+ years will also be considered if their experience includes relevant work on distributed storage systems • Experience developing high-performance, low-latency software components • Understanding of core dumps, flame graphs and sanitizer-enabled builds • Understanding of CPU caches, atomic operations and NUMA architectures Nice to have: • Experience designing and developing production-grade distributed storage systems and/or databases • Experience with on-disk data structures such as LSM trees and B+ trees, and storage algorithms such as erasure coding and checksumming • Understanding of NVMe, conventional HDD and SMR HDD internals • Experience with debugging and profiling tools such as perf, VTune, bpftrace and gdb • Familiarity with the Linux kernel, SPDK/DPDK, libaio and io_uring • Knowledge of IP, TCP, UDP and DNS, and ideally InfiniBand or RoCE/RDMA • Experience with Kubernetes and Grafana • Experience responding to production incidents • Knowledge of availability and durability calculations For Senior candidates, we offer hybrid working or the flexibility to work remotely within EU. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the Role We are looking for a delivery-focused Security Operations Project Manager to join the Cyber Security PMO, reporting to the Head of PMO under the CISO. This is a dedicated, single-program role: you will own end-to-end delivery of the Global SOC Operation program one of the most strategically significant initiatives in the CISO organization. The program spans five major workstreams across SOC design, telemetry, detection, incident response, and continuous improvement. You will be the engine that keeps this program moving. What You Will Own You will be the single accountable PM for the Global SOC Operation program; responsible for driving execution, maintaining delivery momentum, and ensuring nothing falls through the cracks across a large, multi-workstream program. Execution and Delivery: own the end-to-end project lifecycle across all workstreams: from project initiation and planning through execution, validation, and formal closure. Ensure every workstream has a clear plan, named owners, realistic milestones, and a path to delivery. Planning and Tracking: build and maintain detailed project plans in Jira. Keep the program board accurate, up to date, and executive-ready at all times. Translate ambiguous objectives into structured, executable task hierarchies with clear ownership and sequencing. Dependency and Risk Management: identify and manage cross-workstream dependencies before they become blockers. Maintain a live RAID log, drive mitigations, and escalate critical risks with full context and a recommended course of action. Stakeholder Coordination: run structured governance across a wide range of stakeholders including SOC engineering, IT, Legal, Privacy, HR, Finance, and CISO leadership. Facilitate kickoffs, steering reviews, and milestone sign-offs. Navigate cross-functional friction, Privacy, Legal, Work Council; with persistence and structured escalation. Reporting and Visibility: produce concise, accurate status reporting for the Head of PMO and CISO. Surface progress, risks, decisions, and next steps in a format that enables fast, informed decision-making. What We Expect • 4–6 years of hands-on project or program management experience with a strong delivery track record in complex, cross-functional technical environments. • Proven ability to manage a large, multi-workstream program simultaneously. • Deep Jira proficiency: task and epic management, board configuration, dashboards, reporting, and portfolio tracking. • Strong project decomposition skills; able to take an ambiguous objective and break it into structured, executable workstreams with named owners and milestones. • Proactive risk mindset: anticipates blockers, surfaces them early, and drives resolution without waiting to be directed. • Strong written and verbal communication in both Hebrew and English, with confidence engaging global stakeholders. • Technological orientation — able to understand SOC architecture, tooling stacks, and security workflows at a sufficient level to manage delivery and challenge estimates. • Experience working within a SOC, CISO, or security operations environment; a must. • Familiarity with SOC domains: SIEM, SOAR, detection engineering, threat hunting, DFIR, or incident management; a must. Nice to Have • Knowledge of security frameworks such as NIST CSF, MITRE ATT&CK, or ISO 27001. • Experience coordinating follow-the-sun or multi-region operational programs. • Experience working with globally distributed teams in a high-growth technology or cloud infrastructure company. • PMP, PRINCE2, or equivalent project management certification. What We Offer • Ownership of one of the most strategically important programs in the Nebius security organization. • Direct visibility to CISO leadership and real impact on how Nebius builds and operates its global SOC. • A fast-moving, high-growth environment where you will build something from the ground up. • A collaborative team with deep domain expertise across offensive security, SOC automation, CTI, and engineering. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities • Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. • Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. • Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. • Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. • Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. • Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. • Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. • Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves • A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. • A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. • Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. • Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. • Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. • Excellent written and verbal communication. Nice-to-haves • First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. • Experience deploying ML models or inference optimizations in production. • Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. • Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. • Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. • Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities • Own optimization projects for specific model families, customer endpoints, or serving backends. • Compare inference engines and recommend serving configurations suited to individual workloads. • Diagnose model-quality and performance regressions during production rollouts. • Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. • Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. • Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. • Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. • Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets. • Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead. • Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. • Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. • Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves • Strong engineering skills in Python and PyTorch. • Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference. • Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. • A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. • Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. • Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. • Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves • Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. • Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. • Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. • Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization. • Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. • Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. • Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Application Security The team is responsible for the security of Nebius's main public offerings : Compute, VPC, Managed K8s, Marketplace, Managed Soperator, and others. This includes building out the Secure SDLC, threat modeling, and vulnerability management platforms. The Role We are looking for an Senior/Staff Application Security Engineer who will ensure the security of our software by identifying and mitigating vulnerabilities, implementing best security practices, and collaborating with development teams. The ideal candidate will have a strong background in secure coding, threat modeling and building Secure SDLC. What you will do • Build and maintain Application Security Posture Management (ASPM) at the Company scale. • Automate and support SAST, SCA tools, etc as part of CI/CD pipelines. • Improving SAST, secrets detection rules. Keeping false positive rate low. • Identify, analyze, and remediate application security vulnerabilities. • Collaborate with development teams to integrate security best practices into the software development lifecycle (SDLC). • Develop and maintain secure coding guidelines for development teams. • Conduct, run threat modeling and risk assessments for new and existing applications. • Provide development teams with instruments that facilitate security-related work like threat modelling, vulnerability detection, etc. • Stay updated on the latest security threats, vulnerabilities, and mitigation techniques. • Serve as an application security subject matter expert to other teams. What we look for • 6+ years of experience in application security. • Strong knowledge of common application security risks (e.g. OWASP Top 10) and how to mitigate them. • Experience with secure coding practices in languages such as Python, Go, Java, or JavaScript. • Proficiency in a common programming language (such as Go or Python) with a willingness to learn Go, if necessary. • Hands-on experience with security testing tools (Burp Suite, ZAP, Semgrep, etc.). • Understanding of authentication protocols like SAML or OIDC. • Experience in conducting threat-modeling sessions. Bonus points • Confidence in presenting your ideas and opinions in a manner that can be challenged, while responding well to feedback. • Experience in designing, building, and maintaining security automation. • Experience in translating compliance and regulation requirements into technical specifications. • Experience in exploiting vulnerabilities in web applications, Linux kernels, containers, and networks. • Security certifications such as OSCP or OSWE. Hiring process • Recruiter's chat (30mins) • Live-coding interview (60mins) to asses basic coding skills • Security interview (60mins) to asses domain expertise • Security System Design interview (90mins) to assess practical experience • (Optional) Technical deep dive (90mins) to present a complex and impact project. • Final interview to close the hiring process (45mins) #LI-CP1 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking a Security Solutions Engineer with a strong background in strategic solution evaluation, vendor assessment, and hands-on Proof-of-Concept (PoC) validation. This role is a crucial bridge between identifying customer security requirements and implementing best-in-class, enterprise-grade solutions. You will be responsible for defining the criteria, researching the market, and executing technical validation for all major security tooling and services adopted by the company. Key responsibilities: 1. Strategic Research & Requirement Definition • Threat-to-Solution Mapping: Proactively analyze customer expectations, regulatory/compliance drivers, and threat models to define precise functional and non-functional requirements for new security solutions. • Market Analysis & Scouting: Conduct thorough market scans to identify cutting-edge security products, platforms, and vendors across key domains (e.g., CSPM/CNAPP, DLP, IAM/IGA, EDR/XDR, data security, Kubernetes security, and AI/ML security). • Vendor Due Diligence: Evaluate potential vendors based on technical capability, security posture, integration requirements, roadmap, data residency/compliance, and support quality, and shortlist candidates for the PoC phase. 2. Technical Validation & Proof-of-Concept (PoC) Leadership • PoC Planning & Design: Develop detailed, objective, and threat-aligned test plans and success criteria for all security solution Proof-of-Concepts (PoCs), including quantitative success metrics, coverage of key attack scenarios, and opportunities for automation. • Hands-on Environment Setup: Independently architect and deploy isolated PoC environments that accurately simulate our production infrastructure (e.g., setting up cloud VPCs, Kubernetes clusters, integrating with test data via IaC, and mimicking typical workloads). • Testing & Analysis: Execute security research methodologies within the PoC (e.g., simulating attack scenarios, conducting deep feature validation, assessing false positive/negative rates) to rigorously test the vendor solution's effectiveness. • Artifact Generation: Document all findings, including technical performance data, integration challenges, security gaps discovered, and clear comparative analysis metrics. 3. Decision Support & Communication • Recommendation & Insight: Deliver comprehensive, data-driven reports and compelling presentations to security and product leadership and engineering stakeholders, providing a clear recommendation for the optimal solution and vendor selection. • Integration Planning: Work closely with Security Engineering, Platform/Infra, and DevOps teams to ensure selected solutions are feasible to integrate, operate, and scale, and to hand off PoC learnings into implementation plans. Must-haves: • Experience: Minimum 6+ years in Security Engineering, Security Architecture, or a dedicated Security Research role focused on solution validation and vendor management. • Technical Depth: Deep understanding of modern cloud security principles (e.g., AWS/Azure/GCP security models, Kubernetes/containers, network segmentation, IaC scanning, least privilege, identity-centric security, confidential computing). • Programming and Automation - Strong scripting / programming skills (e.g., Python, Go, or similar) for automating PoCs, building test harnesses, and integrating tools via APIs and CI/CD pipelines. • Solutions Expertise: Proven, hands-on experience with the architecture, deployment, and testing of two or more enterprise-grade security tools (e.g., SIEM/SOAR platforms, Endpoint Detection and Response (EDR), Vulnerability Management, Secrets Management). • PoC Proficiency: Demonstrated ability to plan and execute complex technical Proof-of-Concepts, including setting up test environments and defining quantitative success metrics. • Soft Skills: Exceptional analytical skills with the ability to translate complex technical findings into clear business risk and strategic recommendations. Strong written and verbal communication. Nice-to-haves: • Experience in Cloud or Cloud-Heavy companies. • Experience in a compliance-focused industry (e.g., finance, healthcare, or cloud infrastructure) and familiarity with frameworks such as ISO 27001, SOC 2, or GDPR. • Advanced professional certifications such as CISSP, CCSK or relevant cloud certifications (e.g., AWS/GCP/Azure Security Specialty). • Experience contributing to security standards, open-source tools, talks, or publications. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role As a Senior ML Engineer focused on Search Optimization, you will work on improving the quality of our search product across the all parts of the search stack. You will work on problems such as query understanding, query reformulation and expansion, retrieval, ranking, reranking, and result selection. Your goal will be to identify where search quality is lost, develop better approaches, and turn them into measurable improvements in production. This is an applied ML and information-retrieval role combining experimentation with production impact. You will work with real-world queries, large-scale search systems, and evaluation signals to improve relevance, recall, freshness, and overall result quality. In this position, your responsibility will be to • Design, implement, and operate the retrieval system for a search vertical • Connect and tune the data pipeline, from ingestion to relevance tuning • Build knowledge-graph and entity-resolution layers: entity linking / NER, ontologies, and graph databases (Neo4j or similar) • Develop structured-extraction pipelines over messy, unstructured domain data • Reason about freshness and trust: model how confident we are in a fact and how stale it has become before we serve it • Define evaluation and quality metrics for relevance and drive measurable improvements • Collaborate with crawling, indexing, and ML teams to ensure retrieval and ranking requirements are met • Enable safe experimentation with retrieval, ranking, and extraction strategies You may be a good fit if you have: • 6+ years of software engineering experience, some of it in search / information retrieval • Strong IR fundamentals: inverted indexes, BM25/TF-IDF, query understanding, ranking, and evaluation (nDCG/MRR/recall@k) • Experience with vector & hybrid retrieval: ANN, dense+sparse fusion, embeddings models • Experience building structured extraction over messy/unstructured domain data • Fluent in Python and comfortable with systems-level performance work Strong candidates may also have experience with: • Knowledge graphs: entity resolution, entity linking / NER, graph DBs (Neo4j), ontologies / schema design • Owning relevance / ranking for a real product and improving it against IR metrics • Data quality, truth discovery, or systems that decide how much to trust a piece of information • Published work on IR, ranking, or knowledge graphs Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the rendering infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on loading modern web pages in a browser that we patch and build ourselves, so that content is rendered completely and reliably at a cost that works across billions of pages. You will work inside Chromium to remove what we do not need, make the rest faster and cheaper, and keep our build current as Chromium moves. Your work ensures that high-quality content is consistently available to the indexing and retrieval systems downstream. In this position, your responsibility will be to • Change Chromium in its heavy core (Blink, the V8 integration, the compositor, the network service) to cut CPU, memory and startup cost per page • Strip Chromium down for agent workloads: skip what nobody needs, such as image and media decoding, web font downloads, and rasterization and GPU work where no one needs pixels, while keeping what page scripts depend on to run correctly (style, layout, animation frames, observers), and work out what breaks, or renders differently, when you do • Keep the browser compatible with the web: make sure that what we remove does not change how the sites we load behave or render • Profile and tune fleets of browsers: the process model, memory per renderer, startup, isolation and crash handling • Build the production system around it: how browsers are launched, pooled, recycled and monitored You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. Inside the browser • Strong C++ in a large, performance-critical codebase, ideally Chromium, Blink or V8, or a comparable browser engine (Rust is a plus) • Chromium architecture: the process model, Mojo IPC, the rendering pipeline (DOM, style, layout, paint, compositing), and the network service • Building, debugging and shipping custom Chromium builds: the build system, tracing, crash analysis, and maintaining patches across releases Performance and systems • Profiling CPU, memory and I/O for browser fleets, with tools such as perf, tracing and flame graphs • Linux process isolation and resource management, concurrency, and memory management • Have run browsers in production, or built the infrastructure that does, and can describe where the time and memory went Strong candidates may also have experience with • Contributions to Chromium, Blink, V8, Firefox, WebKit or another browser engine • Building or maintaining a patched browser that you wrote the patches for • Browser instrumentation, including the Chrome DevTools Protocol • Working familiarity with how modern frontend frameworks render (SSR, CSR, streaming, hydration) • Distributed systems, Kubernetes, and Go or Python The kind of problems you will work on • Cut the cost of loading a page in half. Where do CPU and memory go, and what would you change in the browser? • Turn off the GPU and image decoding for agent workloads. What breaks, and what changes in how pages load and render? • A page runs a script that never yields. How do we detect and stop it without help from the page? • Chromium ships a new version. How do we bring a large set of patches forward in days, not weeks? • Decide when a page is finished, for pages with analytics beacons, long polling and endless scrolling. We conduct coding interviews as part of the process. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Security Compliance Coordinator supports the day-to-day execution and scaling of the company's security compliance program. This hands-on role coordinates audits and certifications, performs control and evidence reviews, supports supplier compliance reviews within Third Party Risk Management (TPRM), and drives assigned actions to closure across multiple stakeholders. The coordinator works alongside other team members and is expected to contribute professional judgment, not only administrative tracking. Your responsibilities will include: Compliance and Audit Operations • Coordinate external audits, certifications, and readiness activities, including SOC 2 and ISO-based programs, evidence collection, control populations, sampling, and auditor requests. • Perform recurring control testing and evidence reviews; identify gaps and inconsistencies and track findings, corrective actions, and remediation commitments through closure. • Maintain organized, audit-ready records and provide clear status reporting on milestones, risks, dependencies, and overdue actions. TPRM and Supplier Compliance Reviews • Conduct compliance reviews of new and existing suppliers as part of the TPRM process, assessing questionnaires, SOC reports, ISO certifications, policies, and other security and compliance evidence against applicable requirements. • Identify missing, expired, or insufficient supplier evidence and material compliance gaps; coordinate clarifications and remediation and document the resulting assessment, decision, escalation, or accepted exception. Governance and Compliance Projects • Support the policy and procedure lifecycle, including inventory maintenance, owner coordination, scheduled reviews, approval tracking, publication, and reporting. • Support the implementation and operation of the GRC platform, including workflows, evidence automation, integrations, data quality, reporting, and user adoption. • Support the integration of new entities, services, and sites into the compliance program, including scope extensions and data-center documentation and evidence coordination. • Maintain workplans and Jira tasks and develop practical templates, metrics, and reporting that improve visibility and consistency across assigned workstreams. We expect you to have: • 2-3 years of experience in information security compliance, GRC, IT audit, IT risk, or a closely related field. • Working knowledge of information security controls, audit and certification cycles, and frameworks such as ISO 27001 or SOC 2. • Ability to review evidence critically, identify missing or inconsistent information, and follow issues through to a clear and documented resolution. • Prior exposure to TPRM, supplier security or compliance assessments, or review of third-party assurance documentation is an advantage. • Strong organizational and English communication skills, with the ability to manage multiple workstreams and summarize requirements, findings, and status accurately. • Proficiency with Jira, Confluence, and Excel or equivalent spreadsheet tools; experience with GRC platforms is an advantage. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Data Engineering team builds and operates the data platform that powers analytics, business intelligence, operational reporting, and data-driven products across Nebius. We ingest data from internal and external systems, develop reliable transformation pipelines and data models, and make trusted datasets available to business and product teams. We are looking for a Senior Data Engineer to own substantial parts of our data platform and deliver complex data products end to end. You will turn ambiguous business needs into pragmatic technical solutions, make architecture and implementation trade-offs, and improve the reliability, scalability, and usability of our data ecosystem. You will work closely with product, platform, and business teams, helping them use data effectively while ensuring that our systems remain maintainable and trustworthy as Nebius grows. Your responsibilities: • Own the design, delivery, and operation of complex data pipelines, datasets, and platform components. • Translate business and analytical requirements into scalable data models, reliable data products, and clear technical plans. • Design and evolve data architecture, storage, processing, and orchestration patterns for large-scale workloads. • Improve data quality, observability, lineage, and incident response for critical datasets and pipelines. • Investigate and resolve challenging performance, reliability, and data-correctness issues in production. • Establish reusable tools, conventions, and automation that improve engineering productivity and reduce operational risk. • Work with product teams and business stakeholders to define data contracts, priorities, and success criteria. • Contribute to technical direction through design reviews, thoughtful trade-offs, and documentation. • Support and mentor other engineers through reviews, pairing, and knowledge sharing. • Participate in the on-call rotation and take ownership of improving the operational health of the systems you support. Must-haves: • 5+ years of experience in data engineering, backend engineering, or a related role; or equivalent experience delivering and operating production data systems. • Proven experience independently delivering complex data pipelines or data-platform capabilities from problem definition through production operation. • Strong Python and SQL skills, including writing maintainable production code and optimizing non-trivial queries. • Hands-on experience with workflow orchestration tools such as Airflow, Prefect, or Dagster. • Strong understanding of data modeling, including designing maintainable analytical models and data contracts for multiple consumers. • Solid knowledge of data architectures and storage systems, including the trade-offs between different processing and storage approaches. • Experience designing for reliability: testing, monitoring, data-quality validation, alerting, debugging, and incident resolution. • Ability to make technical decisions under ambiguity, explain trade-offs clearly, and collaborate effectively with engineers and non-technical stakeholder Nice-to-haves: • Experience with real-time or event-driven data platforms and streaming technologies. • Experience building or operating cloud-native services with Docker and Kubernetes. • Familiarity with Infrastructure as Code, particularly Terraform. • Experience with data governance, access control, privacy, and compliance requirements such as GDPR or SOC 2. • Experience with data observability and quality tools or frameworks, such as Great Expectations. • Experience improving engineering standards through shared libraries, platform tooling, technical documentation, or mentoring. We conduct coding interviews as part of the process. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're an SRE team within DevTools, looking for someone ready to help maintain and grow our systems. We run 25k builds a day in TeamCity, store 100 TB of artifacts in Artifactory, and work with a massive monorepo in GitLab — comparable in scale to what you'd find at FAANG companies. We modify GitLab and build our own TeamCity plugins to give users a product that meets their needs. We're also experimenting with AI — we have our own RAG setup and are figuring out how to operate in the age of agents. Our goal: understand users' problems and requests, define metrics that capture the problem, improve those metrics, and verify that the user's problem is actually gone. Your responsibilities will include: • Improving services based on user feedback • Building fault-tolerant, self-healing architecture • Finding ways to speed up our systems and reduce user friction • Modifying well-known closed- and open-source solutions Supporting our users We expect you to have: • A combination of SRE and SWE experience (for us that's a 50/50 split). Our code is in Java/Kotlin, Go, Python, and Ruby • An understanding of what's happening under the hood in Unix-like systems and the JVM • A passion for improving the user experience • The ability to adapt quickly on the fly in a fast-changing environment It will be an added bonus if you have: • Experience in Platform Engineering • Experience operating GitLab (or another VCS) and TeamCity (or another CI system) • Experience with Spring and operating Java monoliths We conduct coding interviews as part of the process. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced U.S. Securities and Transactions Counsel to serve as the company's primary legal expert on U.S. securities law and the US requirements applicable to the company as a NASDAQ-listed foreign private issuer, with responsibilities for US transactional matters You will lead the legal workstreams associated with the Company's SEC reporting, disclosure and NASDAQ compliance obligations, working cross-functionally with Finance, Investor Relations, Company Secretary and senior leadership to uphold the highest standards of compliance, governance, and disclosure. You will also support the broader legal team with US legal advice on transactional matters, including financing, M&A and other strategic transactions. Your responsibilities will include SEC Reporting & Disclosure • Lead preparation and timely filing of all periodic and other SEC reports, including Forms 20-Fand 6-K , and Section 16 filings. • Manage disclosure controls and procedures; coordinate with Finance and external auditors to support SOX Section 302 and 404 compliances. • Draft and/or review press releases, earnings scripts, and investor materials; own disclosure compliance program. • Advise on Rule 10b5-1 plans and related securities law requirements. Corporate Governance • Advise on Board and committee governance, director and officer matters, and the company’s annual governance cycle under US Securities Law and NASDAQ listing standards. • Ensure compliance with SEC Rules on matters such as related-party transactions and other corporate governance matters. • Monitor developments in SEC Rules, NASDAQ listing standards and relevant U.S. public-company governance requirements. Capital Markets & Financing Transactions • Advise on securities law aspects of equity and debt capital markets transactions, including equity and convertible note offerings, ATM equity programs, and Rule 144A / Reg S debt offerings. • Negotiate underwriting agreements, purchase agreements, indentures, and related transaction documents; coordinate with underwriters' counsel and trustee. • Manage registration statements and prospectus supplements; advise on related EDGAR filings. • Advise on securities law compliance for convertible notes, warrant issuances, and equity-linked instruments. M&A and Strategic Transactions • Provide securities law counsel across the full M&A lifecycle — from structuring and due diligence through signing, regulatory filings, and closing. • Advise on representations and warranties related to securities law compliance. We expect you to have • J.D. from an accredited law school; active bar admission in at least one U.S. jurisdiction. • At least 7 years of relevant experience in US securities law and public-company matters; mix of top-tier law firm and in-house experience strongly preferred. • Deep expertise in Exchange Act reporting, SOX, Regulation FD, and NASDAQ governance rules. • Proven experience with capital markets transactions (equity and debt) and public M&A. • Exceptional drafting and communication skills; sound judgment and ability to work independently at a senior level. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Infrastructure Acquisition Group The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online. We're a small, founding team building this function from the ground up, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales. Examples of Problems We're Solving Determine whether a site can actually support the AI infrastructure we're planning to build. Lead multidisciplinary technical due diligence across geotechnical, environmental, civil, utility, and entitlement workstreams to determine whether a project is technically feasible before Nebius commits capital. Build a repeatable technical due diligence program. Help establish the standards, consultant network, playbooks, and review processes that ensure every infrastructure opportunity is evaluated consistently across the Americas. Identify technical risk before it becomes commercial risk. Work with Site Selection, Project Development, Engineering, and external consultants to identify development constraints early enough to influence negotiations, investment decisions, and project schedules. About the Role As a Technical Due Diligence Manager, you'll evaluate the technical feasibility of AI infrastructure opportunities across the Americas before Nebius commits capital. Working within the Infrastructure Acquisition Group, you'll lead multidisciplinary engineering due diligence across powered land and build-to-suit developments, partnering with Site Selection, Engineering, Energy, Legal, and Project Development to identify technical risk, assess development feasibility, and support investment decisions. This is a build-phase role on a build-phase team. Many of the standards, playbooks, consultant relationships, and technical review processes you'll use are still being written—in some cases, you'll help write them. We're looking for someone who can independently lead complex technical due diligence programs while helping build the systems that make every future evaluation faster, more consistent, and more scalable. What You'll Own • Lead multidisciplinary technical due diligence for powered land, build-to-suit, and other strategic infrastructure opportunities. • Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites. • Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation. • Interpret technical findings and provide development recommendations supporting acquisition decisions. • Prepare technical due diligence summaries and present risks, constraints, and recommendations to executive leadership. Technical Risk Assessment • Evaluate geotechnical conditions, environmental constraints, utility capacity, network connectivity and fiber access, entitlement requirements, constructability, and development schedules. • Identify technical risks that may impact project cost, schedule, or feasibility. • Recommend mitigation strategies and additional investigations where appropriate. • Quantify technical risks and communicate commercial impacts to Site Selection and Project Development. Studies & Consultant Management • Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites. • Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation. • Interpret engineering studies and translate technical findings into clear development recommendations. • Maintain technical documentation and due diligence records that support investment decisions. Program Standards & Process • Apply Nebius' technical due diligence standards consistently across all projects. • Help develop and improve due diligence templates, consultant scopes, checklists, and review processes. • Capture lessons learned to strengthen future technical evaluations. • Build and maintain a trusted network of engineering and technical consultants. Cross-Functional Collaboration • Partner with Site Selection to evaluate new infrastructure opportunities and support acquisition recommendations. • Work with Project Development to transition technically viable projects into development. • Coordinate with Engineering, Energy, Network, Legal, Finance, and Delivery throughout the acquisition lifecycle. • Build trusted relationships with engineering firms, land-use attorneys, environmental consultants, and technical partners. What Success Looks Like • Deliver timely technical recommendations that support investment decisions. • Identify development risks early enough to influence commercial negotiations and project strategy. • Establish consistent technical due diligence standards across the Americas. • Build a trusted network of engineering and technical consultants. • Help build the standards and processes the Infrastructure Acquisition Group runs on as it scales. What You'll Bring • You're comfortable operating in ambiguity and building processes where none exist. You know how to independently lead complex technical due diligence efforts while helping define how future evaluations should be performed. • 5–10 years of experience leading technical due diligence, site development, civil engineering, land development, infrastructure design, or large-scale industrial projects. • Experience managing multidisciplinary engineering and environmental consultants. • Strong understanding of geotechnical investigations, environmental assessments, zoning, entitlements, utility coordination, permitting, and infrastructure development. • Ability to interpret engineering studies and translate technical findings into business recommendations. • Excellent communication and executive presentation skills. • Bachelor's degree in Civil Engineering, Architecture, Construction Management, Real Estate Development, or a related discipline, or equivalent experience. Preferred Qualifications • Experience supporting hyperscale data center, AI infrastructure, or mission-critical developments. • Professional Engineer (PE), PMP, or similar technical certification. • Experience with large-scale infrastructure acquisition or development programs. • Knowledge of utility infrastructure, transmission, and power markets. Why Join Nebius The infrastructure supporting AI is being built now. This is an opportunity to help define how Nebius evaluates the next generation of AI infrastructure while helping build the function itself—the standards, consultant network, technical processes, and playbooks that will support infrastructure investments across the Americas. You'll work on some of the industry's largest and most complex AI infrastructure opportunities while helping shape the physical foundation of the global AI economy. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced Threat Hunting Team Lead to join the Cyber Security organization, reporting to the Head of Proactive Security under the CISO. This role is responsible for leading the organization's proactive threat hunting program across Nebius's corporate IT environment, cloud platforms, and data center infrastructure. You will lead a team of threat hunters focused on identifying advanced threats, uncovering adversary activity before it becomes an incident, and continuously improving the organization's detection capabilities. The ideal candidate combines strong technical expertise with an attacker mindset and a passion for proactive defense. You will work closely with SOC, Incident Response, Threat Intelligence, Detection Engineering, and Security Engineering teams to identify emerging threats, develop hunting methodologies, and strengthen Nebius's overall cyber resilience. Your responsibilities will include: • Lead and manage the Threat Hunting team, including mentoring, prioritization, and professional development. • Define and execute the organization's proactive threat hunting strategy across corporate IT, cloud environments, and data center infrastructure. • Lead hypothesis-driven threat hunting activities to identify advanced threats, persistence mechanisms, and malicious activity not detected by existing security controls. • Develop and continuously improve threat hunting methodologies, playbooks, and operational procedures. • Leverage threat intelligence, adversary TTPs, and MITRE ATT&CK to drive hunting campaigns and prioritize hunting efforts. • Hunt across endpoint, identity, network, cloud, and application telemetry to identify suspicious behavior and indicators of compromise. • Collaborate with SOC and Incident Response teams to validate findings, support investigations, and improve incident response capabilities. • Partner with Detection Engineering to convert successful hunts into automated detections and improve security monitoring coverage. • Work closely with Security Engineering and Infrastructure teams to identify security gaps and recommend improvements. • Produce technical reports, executive summaries, and threat assessments for leadership and key stakeholders. • Define KPIs and measure the effectiveness and maturity of the organization's threat hunting program. • Stay current on emerging threat actors, attack techniques, AI-driven threats, and industry best practices, incorporating new knowledge into hunting operations. We expect you to have: • 6+ years of experience in cyber security, with a strong focus on threat hunting, incident response, detection engineering, or SOC operations. • 2+ years of experience leading technical security teams. • Strong understanding of attacker methodologies, post-exploitation techniques, and modern cyber threats. • Hands-on experience conducting hypothesis-driven threat hunting across endpoint, network, identity, and cloud environments. • Deep knowledge of MITRE ATT&CK and adversary tactics, techniques, and procedures (TTPs). • Experience working with EDR/XDR, SIEM, cloud security platforms, and threat intelligence sources. • Experience investigating advanced persistent threats (APTs), ransomware, insider threats, and cloud-based attacks. • Strong scripting or query skills (e.g., KQL, SPL, SQL, Python, PowerShell) for threat hunting and analysis. • Strong analytical, investigative, and problem-solving skills. • Excellent written and verbal communication skills in Hebrew and English. It will be an added bonus if you have: • Experience hunting across AWS, GCP, or Azure cloud environments. • Familiarity with large-scale enterprise, cloud-native, or AI infrastructure environments. • Experience developing detection rules and behavioral analytics. • Knowledge of malware analysis, digital forensics, or reverse engineering concepts. • Experience with threat intelligence platforms and threat hunting frameworks. • Relevant certifications such as GCFA, GCTI, GREM, GCIA, CISSP, or equivalent. • BSc in Computer Science, Information Security, or a related field. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.