Jobs in Tel Aviv-Yafo

Description About the Company DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets' solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. Responsibilities • Design, build, and operate the internal engineering platform that powers DriveNets' build, test, deployment, and security validation workflows. • Write and maintain production code and automation for the tooling that runs build, test, and release. • Develop large-scale orchestration of complex environments across hybrid cloud and on-prem execution infrastructure. • Implement DevSecOps integrations and advanced automation across the platform. • Provide a scalable, reliable, and intelligent platform that enables hundreds of engineers to build, deploy, and validate a complex distributed networking product efficiently and safely. • Troubleshoot platform issues, take ownership, and drive solutions end-to-end. • Collaborate with engineering teams across the organization. Requirements Technical Skills • 3+ years of hands-on software development experience (primary requirement). • Strong programming skills and the ability to design, implement, and maintain production code. • DevOps experience: CI/CD, Linux, containers, and cloud infrastructure, with the ability to learn the platform's tooling on the job. • B.Sc. in Computer Science or equivalent practical experience. • Solid understanding of Linux, containers (Docker), and Git-based workflows. • Familiarity with CI/CD (GitHub Actions or similar) and infrastructure as code (Terraform, Helm, or similar). • Familiarity with cloud environments, AWS in particular, and an interest in hybrid cloud/on-prem systems. • You will work with: Kubernetes (EKS, on-prem), GitHub Actions, ARC, Karpenter, Terraform, Helm, Docker/DinD, Sysbox, containerd, BuildKit, ECR, S3, ElastiCache (Valkey), sccache, Direct Connect, VPC endpoints, IAM/OIDC, Secrets Manager, and self-hosted runners. Deep prior experience with this stack is not required; basic DevOps foundations and strong software engineering skills are enough to pick it up. Soft Skills • Strong system-level thinking and troubleshooting skills. • Ability to take ownership and drive solutions end-to-end. • Excellent communication and cross-team collaboration skills. Nice to Have / Advantage • Python or another high-level language used in production tooling. • Hands-on AWS experience (EKS, ECR, S3, IAM/OIDC, VPC, Secrets Manager). • Experience with runner pools, DinD test environments, or build caching (BuildKit, sccache). • Jenkins, GitHub merge queue, MinIO / on-prem S3 cache, hardware-in-the-loop CI, monorepo CI optimization. If your experience is close but doesn't fulfil all requirements, please submit your application. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with extended teams located in the US, Japan, and Romania, DriveNets operations cover more than twelve countries globally. Powering production networks for global tier-1 operators, DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. Visit our website to learn more: https://drivenets.com/company/

Description #LI-Hybrid DriveNets builds high-performance networking solutions for large-scale AI infrastructure and service-provider networks. DriveNets’ Network Cloud powers production networks at global operators such as AT&T and Comcast, while its AI Fabric solutions optimize the performance and time to first token (TTFT) in multi-vendor AI environments at foundation model labs, NeoClouds, and enterprises. DriveNets combines high-performance networking, end-to-end automation, and full-stack AI cluster optimization to remove network bottlenecks, maximize GPU utilization, accelerate AI cluster deployments, and improve token economics The Role We are establishing a new backend group that will take full ownership of a core application area. We are looking for a Senior Backend Developer who will lead the backend effort end-to-end — from initial architecture and technology choices, through implementation and scaling, and into long-term ownership and evolution. This is a hands-on technical leadership role. You will design, build, and own production systems, work closely with multiple teams, influence product direction, and set the technical bar for the group. We embrace an agile mindset – you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements. Responsibilities • Take full ownership of the backend architecture for a major application area • Design and implement scalable, reliable, and maintainable backend systems • Lead technical design and decision-making, including technology and architecture choices • Work closely with product, frontend, platform, and other backend teams • Participate in product vision discussions, brainstorming, and planning sessions • Translate product requirements into robust technical solutions • Write high-quality, production-grade code • Drive debugging and root-cause analysis of complex production issues • Ensure best practices in performance, reliability, security, and observability • Mentor and technically guide other backend engineers as the group grows Requirements • 9+ years of backend development experience • 2+ years of hands-on NodeJs OR Python OR GO experience — or strong motivation to learn and use it in production- big advantage. • Experience with distributed, high-scale systems. • Proven experience designing and building high-scale, production systems • Deep understanding of backend architecture, distributed systems, and APIs • Strong problem-solving and debugging skills, including complex system behavior and production troubleshooting at scale • Experience working with databases (relational and/or NoSQL), including schema design and performance considerations • Solid knowledge of modern backend technologies and frameworks • Experience collaborating across teams in a large or multi-team environment • Strong communication skills and the ability to lead through influence Nice to Have • Familiarity with containerization tools (Docker/Kubernetes) • Exposure to caching systems (e.g., Redis) or event-driven architectures • Prior experience leading a technical area or subsystem • Experience with Cursor Education And/or Relevant Experience BSc in Computer Science, Software Engineering, or a related technical field; or equivalent hands-on experience in software development If your experience is close but doesn’t fulfill all requirements, please apply. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, color, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with locations in Romania, US, and Japan as well as extended teams, DriveNets operations cover more than 16 countries. With recognition by industry analysts and through numerous industry awards, DriveNets is pushing market momentum, allowing for faster service innovation from the network core to the edge. Visit our website:

Description The Role We're building a new orchestration platform for AI datacenters—software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence. You'll join a small, growing engineering team where every engineer ships. In this hands-on development role, you'll build backend services, contribute to system design, and own features from implementation through production, working closely with experienced engineers. If you enjoy solving challenging engineering problems, building new products, and seeing your work run at scale in real AI datacenters, this role is for you. What You'll Do - Build and maintain core services and features for an orchestration platform spanning compute, networking, and accelerators. - Translate customer requirements into APIs, workflows, and data models in collaboration with the team. - Deliver features end-to-end, from prototyping and implementation to testing, deployment, and production support. - Write reliable, maintainable code and contribute to shared libraries, automated tests, and CI/CD pipelines. - Contribute to design discussions and make practical implementation tradeoffs around performance, reliability, and simplicity. - Participate in code reviews, share knowledge, and help improve engineering practices. - Troubleshoot issues and improve service performance, observability, and operational readiness. Requirements - 3 years of experience managing a software development team. -5+ years of professional software development experience, including building and maintaining production backend services. - Strong backend development skills, preferably in Python, and experience building REST and/or GraphQL APIs. - Practical understanding of distributed systems concepts, including scalability, resilience, and failure handling. - Experience with SQL and/or NoSQL databases, data modeling, and query performance. - Experience writing automated tests and working with Git and CI/CD workflows. - Familiarity with multithreading, locks and synchronization mechanisms, performance analysis and optimization. - Ability to take ownership of features, communicate clearly, and collaborate effectively within a small team. Nice to Have - Familiarity with TypeScript, React, and modern web application architecture. - Experience with cloud platforms (AWS, GCP, or Azure), containers, and Kubernetes. - Experience with observability tools such as OpenTelemetry, Prometheus, Grafana, or Datadog. - Familiarity with secure coding practices and common application security risks. - Experience with orchestration systems, provisioning pipelines, cluster management, or schedulers. - Exposure to AI/GPU infrastructure or high-performance networking.

Description DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. We are looking for a highly motivated and detail-oriented Receptionist & People Operations Coordinator to support our office operations at DriveNets’ TOHA office in Tel Aviv. As part of our HR team, you will support the company’s day-to-day operations and help ensure the smooth functioning and maintenance of the office and its facilities. Responsibilities • Manage the front desk at DriveNets’ TLV office. • Welcome and greet guests. • Manage office maintenance, including the kitchen, office equipment, and facilities. • Serve as a point of contact for employees regarding administrative needs and help ensure an excellent employee experience. • Support various office operations activities. • Perform administrative duties and support special projects and cross-company initiatives. • Partner with the HR and Recruitment teams and support various HR-related activities. Requirements • At least 2 years of experience in an administrative role within a fast-paced and dynamic environment. Experience in a startup environment is a major advantage. • A people person with a positive attitude, pleasant and energetic nature, strong service orientation, and a collaborative mindset. • Strong sense of ownership, attention to detail, and the ability to see the big picture. • Highly developed operational skills, with the ability to plan, multitask, prioritize tasks, and ensure flawless execution. • High command of English, both written and spoken, is a must. • Proficiency in MS Office; Excel, Word, and PowerPoint - is a must. • Proficiency in Monday and other applications is a plus. • Available for a full-time, on-site position. • Familiarity with AI tools and the ability to use them to improve efficiency and support day-to-day tasks is a plus.

Description #Hybrid DriveNets builds high-performance networking solutions for large-scale AI infrastructure and service-provider networks. DriveNets’ Network Cloud powers production networks at global operators such as AT&T and Comcast, while its AI Fabric solutions optimize the performance and time to first token (TTFT) in multi-vendor AI environments at foundation model labs, NeoClouds, and enterprises. DriveNets combines high-performance networking, end-to-end automation, and full-stack AI cluster optimization to remove network bottlenecks, maximize GPU utilization, accelerate AI cluster deployments, and improve token economics Job Summary We are looking for a talented and motivated Software Engineer with hands-on experience building and operating multi-agent AI systems in production to join our DriveNets Automation Platform (DAP) team. The team develops automation tools, orchestration capabilities, and intelligent platforms that simplify the deployment, management, troubleshooting, and optimization of large-scale network and AI infrastructure environments. You will work on the design and development of AI-powered systems that bridge networking, automation, observability, and distributed infrastructure — running on Kubernetes at scale. Our stack includes LangGraph, Langfuse, RAG pipelines, MCP, and agent-to-agent (A2A) communication patterns. This role combines strong software engineering with practical AI application development, with a sharp focus on production hardening, tracing, evaluation, and safety of agentic systems — not model training or research prototypes. Requirements • 8+ years of hands-on software engineering experience building production-grade backend services, APIs, or AI-powered systems. • Proven production experience with multi-agent AI systems: deployment, tracing, guardrails, hardening, and incident management. • Hands-on experience with agentic frameworks such as LangGraph, CrewAI, Google ADK, AutoGen, or equivalent. • Experience building and running evaluation pipelines for agentic solutions - including trajectory tracing, ground truth validation, and harshness/quality scoring. • Strong Python proficiency: comfortable building scalable backend services using gRPC and REST APIs. • Solid understanding of distributed systems: fault tolerance, consistency models, service communication, and operational challenges at scale. • Hands-on Kubernetes experience: deploying and operating containerized services, managing workloads, config, and scaling in production clusters. • Practical experience with embeddings, vector databases, and semantic retrieval systems in production. • Practical experience with RAG pipelines, LLM API integration, structured outputs, and tool calling in production environments including building and serving MCP servers at scale. • Working knowledge of SQL and/or NoSQL databases, schema design, and query optimization. • Strong debugging skills across application logic, APIs, data, and AI agent behavior. • Strong communication skills and a bias toward ownership and delivery. Nice to Have • Familiarity with Langfuse/Arize Pheonix. • Familarity with A2A & A2UI protocols. • Experience with network automation, orchestration, or configuration management (Ansible, Terraform, NETCONF, gNMI, or similar). DriveNets is on a mission to build a special company comprised of individuals with diverse backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.

Mobileye's Algorithms Division is looking for a highly technical, hands-on Data Product Manager to drive complex data solutions that support advanced algorithm development. In this role, you will work at the intersection of algorithmic research, data, and engineering. You will collaborate closely with algorithm researchers and development teams to understand complex technical challenges, translate research-driven needs into detailed technical requirements, and drive the development of data tools, infrastructure, and solutions. This position requires strong technical expertise, a deep understanding of data and software development, and the ability to take an active, hands-on role in solving technical challenges. What will your job look like? • Work closely with algorithm researchers and development teams to understand research processes, identify data needs, and translate them into detailed technical requirements. • Lead the technical definition of data solutions, tools, and infrastructure supporting algorithm development, training, and validation. • Collaborate with Data Collection and Data Infrastructure teams to ensure data quality, availability, and alignment with algorithmic requirements. • Define and improve data structures, standards, and workflows to support efficient algorithm development and experimentation. • Identify technical challenges and bottlenecks across the data lifecycle and drive practical solutions in collaboration with engineering teams. • Take a hands-on approach to technical problem-solving, including building prototypes, automating workflows, and developing internal tools using AI-assisted development tools. • Work with cross-functional teams, including FinOps, to optimize data storage, usage, and cost efficiency. All you need is: • B.Sc. in Computer Science, Software Engineering, or a related technical field. • At least 5 years of experience in technical product management, with a strong focus on complex, engineering-driven products or platforms. • Deep technical understanding of data systems, software architecture, development workflows, and infrastructure. • Proven experience working closely with R&D teams, translating complex technical or research-driven needs into detailed product and engineering requirements. • Hands-on technical capabilities, including the ability to independently build small tools, prototypes, or applications. • Experience with AI coding tools such as Cursor and Claude Code. • Strong analytical and problem-solving skills, with the ability to understand complex technical challenges and drive solutions. • Excellent communication skills and ability to work effectively with technical stakeholders. • Previous hands-on software development experience – a strong advantage. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We are seeking a Strategic Account Manager to lead complex commercial engagements with leading automotive OEMs and Tier 1s in the ADAS ecosystem to join our dynamic Sales team. This role included managing long cycle, multi stakeholder deals from early positioning through RFQ to final commercial negotiation and execution. In this role, you’ll have the opportunity to build relationships with industry-leading OEMs and lead the Sales lifecycle of our advanced SOC software solutions for ADAS applications. What will your job look like? • Own and drive Sales activities for strategic OEM accounts, leading commercial strategies end to end. • Create long term relationships with strategic customers through proactive engagement, strong negotiation, and consistent value delivery. • Manage the entire sales process from RFQ/RFI review to issuing competitive price indications and negotiating commercial terms across 12 to 24 month sales cycles. • Lead the commercial aspects with strategic customers, including direct engagement with procurement and executive stakeholders. • Be the single point of contact for customer commercial inquiries, ensuring a seamless communication flow and outstanding customer experience across complex internal and external stakeholder environments. • Translate complex technical capabilities into clear business and commercial value propositions that resonate with clients. • Work in a team supporting multiple OEMs and Tier 1s in driving success together while aligning closely with BD, product, finance, legal, and executive teams to move deals forward. • Drive momentum and push deals forward despite internal and external friction, ensuring progress in complex and political sales environments. All you need is: • BA degree; an MBA is a plus. • 5 years of experience in a similar high tech role, demonstrating your expertise in a fast paced environment with exposure to long sales cycles and complex deal structures. • Strong background in technical sales, capable of navigating complex negotiations and sales processes with ease while positioning value rather than selling pure technical features. • Strong analytical skills, with the ability to interpret volumes, pricing, and commercial data to support decision making. • A natural ability to connect with clients and build long term, trust based relationships at senior levels. • Experience in complex projects involving both HW and SW developments. • Detail oriented and capable of keeping the big picture in mind to make strategic decisions. • High level of proficiency in both verbal and written English to engage effectively with global stakeholders. • Solid understanding of technical business principles, particularly in the automotive ADAS/AV market with the ability to maintain credibility in front of engineering teams without being a deep technical expert. • Experience with tools like Jira and Salesforce to enhance productivity and track engagement efficiently. • High level of professionalism, strong ownership mentality, and the ability to work cross functionally with a team while independently driving outcomes. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye's Development Infrastructure group builds the cloud platforms, data services, and AI-powered tooling that Mobileye & OEM customers depend on to develop autonomous-driving systems. We are looking for a Technical Product Manager to own cloud and data services used by our internal teams and external customers, alongside a new generation of AI-native, agentic products that bring Mobileye's proprietary knowledge and self-service tooling directly to engineers. This is a hands-on technical product role, but not only that. You'll own roadmap, requirements, and cross-functional execution while staying close to the technology itself. Just as importantly, you can zoom out to shape the high-level product story — the vision and the “why” that align stakeholders and give the work direction. As we increasingly integrate AI into our products, we need a PM who learns fast and turns ideas into working products. You'll shape how a sophisticated, multi-petabyte data and cloud ecosystem evolves, influencing how Mobileye's platforms are built internally and how leading global OEMs consume our data and services. It's a rare seat at the intersection of cloud infrastructure, data delivery, and applied GenAI, on products that directly support the future of autonomous mobility. • This is a full-time, 12-month position covering a maternity leave, with potential for extension based on business needs and will require working from Mobileye Jerusalem Campus 2 days a week. What will your job look like? • Own the product strategy and roadmap, partnering with technical leadership to define scope, milestones, and success metrics, and keeping business priorities and engineering execution aligned. • Act as the point of contact for both internal engineering teams and external OEMs — driving requirement definition, prioritization, and ongoing engagement, and owning the lifecycle of feature requests, issues, and escalations. • Lead cross-functional execution across engineering, data, and infrastructure teams, proactively managing dependencies, risks, and delivery timelines while providing clear visibility into product status and outcomes. • Get hands-on with the technology — digging into the products firsthand to see how they behave, test assumptions, and validate solutions before they ship. • Drive our AI-native products — agentic assistants built on MCPs, skills, and retrieval — defining how they surface Mobileye's proprietary knowledge and automate self-service for engineers. • Lead product releases end to end — planning launches, enabling users, driving adoption, and tracking usage and user engagement to inform the next iteration. • Define product standards and documentation practices — design docs, user guides, and release materials — to ensure clarity, scalability, and operational excellence. All you need is: • At least 7 years of experience in a technical product management role, preferably in Cloud or related domains. • Experience defining products, translating complex concepts into clear requirements, and working closely with engineering teams. • Fluency with AI tools like Claude Code or Cursor, and comfort working hands-on in CLI and Ubuntu environments, with the ability to learn new tools fast. • Strong technical depth — able to dig into problems alongside engineers and drive issues to resolution. • Excellent communication and storytelling skills — able to turn complex, technical work into a clear narrative that aligns and influences diverse stakeholders. • Strong problem-solving, organizational, and analytical capabilities. • B.Sc. in Computer Science, Electrical Engineering, or a related technical field (M.Sc./MBA is a plus). • Hands-on software development background — an advantage. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

MEQ (Mobileye Quality) team is responsible to foster quality and excellence in Mobileye's products and processes across the entire company. MEQ team focuses on ensuring high customers' satisfaction through continuous improvement and implementation of automotive standards and best-practices such as ASPICE, IATF16949, ISO 9001, VDA/AIAG Core Tools and ISO26262, both internal and across the entire supply chain. In order to support MEQ objectives, The QMS & Production Quality team is looking for a Production Quality Engineer This role can be based at our offices in Tel Aviv, Petah Tikva, Haifa, or Jerusalem. What will your job look like: • Define and implement production quality framework and workplan for Mobileye's systems' NPI and serial production activities (from scratch) • Work closely with colleagues from other departments (PMs, development engineers, production engineers, management) and other organizations (suppliers and customers). • Work with contract manufacturers to analyze the production process, process capability, process capacity and measurement systems capability. • Assess and control the activities through performing VDA6.3 audits • Lead/Support 8D multi-disciplinary teams to investigate faults and failures • Lead and update PPAP folders for Mobileye's systems • Identify opportunities for improvement and execute them. • Create relevant work items templates and coach the teams how to use them. • Assess KPIs of processes and activities and suggest corrective actions and improvement. • Represent production quality related issues with customers, suppliers and 3rd party organizations All you need is: • At least 5 years hands-on experience in quality of NPI and production processes in multidisciplinary systems' design & production companies (Automotive industry - significant advantage) • Knowledge in automotive core tools, standards and best practices - significant advantage • Certification and experience as supplier auditor per ISO19001 (VDA6.3 certification - significant advantage) • Experience in working with information systems - PLM, ALM, Jira (Working with Agile PLM & Polarion ALM - an advantage) • Highly organized, "Can-do" approach, Process-oriented, able to manage and follow-up on many tasks in parallel. • Able to work in a matrix organization while interfacing with diverse technical stakeholders. • Excellent communication skills in English (both verbal and written) • Able and willing to travel abroad • Bachelors degree - advantage Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is seeking a highly technical Program Manager to join the Execution Program Management Team. In this role, you will drive end-to-end execution across multiple development teams, ensuring delivery against strategic, technical, and operational goals. You will work closely with engineering, research, validation, data, and infrastructure teams to translate roadmaps into executable plans, proactively manage risks, and maintain high development velocity in a complex deep learning environment. What will your job look like: • Lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives. • Build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations. • Monitor progress and proactively drive issue resolution to maintain predictable delivery. • Define, track, and analyze execution KPIs • Identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains. • Support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints. • Facilitate execution reviews using dashboards, logs, performance reports, and validation summaries. • Coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers. • Drive transparency, accountability, and operational rigor across stakeholders. • Help diagnose failing tests, integration conflicts, data gaps, and infrastructure bottlenecks. All you need is: • BSc. in Computer Science, Electrical Engineering, or related fields. • 5-7 years of experience in program or product management, with hands-on development experience. • Ability to read, understand, and run code and scripts (e.g., Python, bash or similar). • Familiarity with development, CI/CD, testing, and data/ML tools. • Experience with deep learning development processes. • Excellent communication, organization, collaboration, and problem-solving skills. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

NVIDIA is looking for an excellent Software Engineer to join the InfiniBand Switch and NVLink FW group in Tel-Aviv / Raanana. As the team member, you will be part of a major development effort for the next-generation networking products. The verification team develops cutting-edge networking features for cloud, HPC and storage. We drive the data growth of the world’s biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge? What you will be doing: • As a Senior Software Engineer at NVIDIA, you will part of a group of firmware verification engineers, using your expertise in C++ and Python in an Agile methodology. • Develop the verification process, aligning with quality standards and project timelines. • Design and implement new features in the core of NVIDIA Switch and GPUs • Drive and facilitate the planning, scheduling, and execution of the project and activities of the team • Collaborate with architecture and different software design teams as part of the software development lifecycle. • Work in pre and post-silicon development environments of next-generation NVIDIA networking products. • Gain a deep understanding of networking technology, system debugging and stacks, as well as the HW/FW/SW relationship. • Innovate! Bring NVIDIA’s FW switching products to shine in customer’s view What we need to see: • B.Sc degree or equivalent experience in Computer Science, Computer Engineering, or Electrical Engineering • 5+ years of relevant overall professional experience • Proficient knowledge of C++, Python. • Experience with Embedded SW development. • Strong analytical, creative, debugging, and problem-solving skills. • Detail-oriented and comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements. • An excellent teammate with good interpersonal skills. Ways to stand out from the crowd: • Knowledge of network protocols. • Background with CI methodology & tools (Git, Gerrit, Jenkins etc.) • Background in Linux internals NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for best-in-class Physical Design Power Engineer to join our outstanding Networking Silicon Power engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput, lowest latency and best Power! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you will be doing: • Power Optimization of Physical design, of blocks/top-level/fc under challenging constraints. • Optimization involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise fixes. • Power estimation and power modeling. What we need to see: • B.SC./ M.SC. or equivalent experience in Electrical Engineering/Computer Engineering. • 1+ years of experience in physical design and/or BE power optimization aspects. • Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.). • Native ability to leverage modern AI tools to accelerate engineering workflows, productivity, and problem-solving. • Knowledge in physical design flows and methodologies (PNR, STA, physical verification) is an advantage. • FE design experience is an advantage. • Excellent problem-solving, partnership, and interpersonal skills. NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

NVIDIA is looking for best-in-class Physical Design CAD Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you'll be doing: • You will be in charge of developing physical design, synthesis, STA and Logic eq methodologies for implementation of networking chips and SOCs. • Work closely with block owners. full Chip STA engineers and project managers to assure high quality and timely convergence. • Come up with unique and creative solutions to the state of the art physical design problems that are needed for Our chips. • Additional responsibilities include participating and developing flow and tool methodologies for chip floorplan, power and clock distribution, P&R, timing analysis and closure, power and noise analysis and back-end verification across multiple projects. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience). • At least 2 years of relevant experience • Proficiency using Python, Perl, Tcl, Make scripting. • Expertise in analysing and converging crosstalk delay, noise glitch, and electrical/manufacturing rules in deep-sub micron processes. • Knowledge in physical design and optimization e.g. placement, routing, cell sizing, buffering, logic restructuring, etc. to improve timing and power required and implementing them through ECOs is required. • Knowledge in process variation effect modelling and experience in design convergence taking into account variations. • Successful track record of delivering designs to production is necessary. • Self-motivation, attention to detail, and good written, verbal, and presentation skills are critical to success in this role. Ways to stand out from the crowd: • Familiarity with synthesis, place and route, STA EDA tools from Synopsys (DC/FC/PT), Cadence (Innovus/Tempus) • Experience in methodology definition / flow owner of synthesis / Place and Route/ STA steps is an advantage. • Great teammate. • Ownership, self-learning skills, and ability to work autonomously. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry! #LI-Hybrid

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We seek an AIR SaaS Platform Verification Manager to join our NVIDIA Air - the Data Center Digital Twin. As a AIR SaaS Platform Verification Manager at NVIDIA, you will have to work closely with NVIDIA’s development and architecture teams responsible for Nvidia Air and gain a deep understanding of NVIDIA products and technologies. and gain a deep understanding of NVIDIA products and technologies. What you’ll be doing: • Leading and managing the verification team responsible for AIR SaaS Platform, ensuring high quality delivery of both the backend and the frontend, working closely with diverse cross-functional teams to effectively implement, improve and automate verification strategies for cloud and on-prem deployments. • Work with the DevOps to integrate the verification pipeline into the CI/CD and use your expertise in Python and frontend testing to identify the most effective verification methodologies and tools, suggest reporting process improvement. • Analyze customer-reported issues, identify test gaps, and ensure robust regression coverage. • Foster a culture of innovation, quality, ownership, and accountability. • Support team members with career development plans and achievable growth goals. • Drive improvements for performance, quality, stability around SW acceleration solutions. • Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification. What we need to see: • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field. • 3+ years of experience in a leadership role, managing of software development teams. • 5+ overall years of experience in software development and testing. • Strong understanding of SaaS architectures. • Hands-on experience testing Python/Django (including REST APIs) and proven experience with frontend testing (UI automations using end-to-end testing frameworks such as Selenium, Playwright or Cypress). • Hands-on experience with Infrastructure as a Service (IaaS). • Comfortable working in a fast-paced, highly collaborative multi timezone environment. • Strong verbal and written communication skills. • Intrinsically motivated with a desire for automation programming. Ways to stand out from the crowd: • Background in developing virtualization solutions using technologies like QEMU and Docker. • Knowledge of Linux networking and understanding of networking concepts and protocols. • Proficiency in Infrastructure as Code (IaC) frameworks. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

NVIDIA seeks a highly motivated senior AI cloud Software architect to join our team in Israel. Work on innovative technologies shaping the future of AI and cloud. We are developing RDMA Transport protocols within the Networking software architecture team at NVIDIA. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision? What you'll be doing: • Translate requirements into vision, architecture, and roadmap • Design infrastructure to support programmable improvements to RDMA protocols for E/W AI networking stack • Collaborate with multi-functional teams to innovate and deliver networking solutions • Explore innovative solutions in HW and SW for our next-generation platforms as part of programmable RDMA architecture • Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations What we need to see: • Bachelor's or Master’s degree in Computer Science or equivalent experience • 8+ years of proven experience in the field • Background in networking stack and protocols such as RDMA, TCP/IP, and InfiniBand • Strong articulation skills for crafting and improving technical documents and the ability to engage with a globally distributed engineering team • Eagerness to learn new technologies and constantly improve your expertise NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere real passion for technology, we want to hear from you.

NVIDIA has been at the forefront of the deep learning revolution, pioneering innovations that have transformed the entire field. As the leading provider of GPUs and AI computing platforms, NVIDIA has empowered researchers and engineers worldwide to accelerate breakthroughs in artificial intelligence. We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team brings the latest research in LLM inference — from novel decoding strategies to quantization schemes — into production across NVIDIA's hardware lineup, from large data center servers to powerful edge devices. We work on the most advanced architectures in the field, with a focus on NVIDIA's own. What you'll be doing: • Implement and optimize inference algorithms for LLM and omnimodal architectures, including hybrid Mamba-Transformer and mixture-of-experts models • Profile inference pipelines using NVIDIA's profiling and simulation tools. Correlate simulation predictions against real hardware across data center and edge devices • Write and tune GPU kernels (CUDA, Triton) for operators like fused MoE layers, SSM state updates, and quantized GEMMs • Solve distributed inference problems: expert parallelism, communication-compute overlap, collective tuning, multi-node deployment • Build production-grade software inside major open-source libraries - vLLM, SGLang, Dynamo, FlashInfer • Own optimization features end-to-end, from scoping through delivery, collaborating with research, product, and engineering teams worldwide What we need to see: • B.Sc., M.Sc., or equivalent experience in Computer Science or Computer Engineering • 5+ years of hands-on software engineering experience in performance-critical systems • Solid understanding of deep learning architectures (Transformers, SSMs, MoE, …) • Experience with systems where hardware constraints matter: GPU programming, memory hierarchy, networking, or distributed computing • Strong software engineering fundamentals: clean design, extensibility, testability. Good judgment about when complexity is warranted • Effective communicator who works well across teams and time zones • Experience optimizing deep learning workloads on NVIDIA GPUs using roofline models, Nsight/PyTorch profilers and end-to-end traces Ways to stand out from the crowd: • Contributions to open-source inference runtimes and libraries - vLLM, SGLang, FlashInfer, Dynamo or similar • Hands-on work with LLM quantization (FP8, NVFP4, MXFP8, mixed-precision) and practical understanding of numerical precision tradeoffs • Track record with distributed inference at scale: tensor parallelism, pipeline parallelism, expert parallelism, disaggregation, multi-node orchestration • Deep knowledge of the latest LLM architectural trends: multi-token predictors, sparse hybrid models, attention and state-space mechanisms • Experience with performance modeling and simulation-to-silicon correlation NVIDIA is widely considered one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people working for us. If you're creative and autonomous, we want to hear from you! We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer. We highly value diversity in our current and future employees. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

NVIDIA is looking for outstanding STA (Static Timing Analysis) Physical Design Engineers to join our remarkable Networking team in Israel. Our team focuses on building the industry's top high-speed communication devices, providing the highest efficiency and minimal latency. As part of NVIDIA, you'll be working in a meaningful, growing, and highly professional environment where your contributions make a significant impact. If you are ambitious, innovative, and ready to compete on the cutting edge of technology, this is the perfect opportunity for you! What you'll be doing: • Perform advanced Static Timing Analysis (STA) at a chiplet and FC level. • Running Prime Time, review and debug timing paths, understand constraints, sdc generation, timing ecos generation. • Identify convergence risks and work closely with physical design, RTL and DFT teams, ensuring convergence throughout various project stages. • Responsible for a full timing closer and quality approval from pre-layout STA model through signoff. What we need to see: • B.Sc. in Electrical Engineering or Computer Engineering. • 2-3 years of experience as an STA engineer. • Strong ability to quickly adapt to new technology and delve deeply into new areas. • Excellent communication skills and a proven ability to work effectively in a team environment. • Demonstrated drive to develop and implement new solutions. Ways to Stand Out From the Crowd: • Knowledge in physical build flows and methodologies (PNR, STA, physical verification). • Familiarity with Prime Time tool NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

We are seeking a highly technical Developer Relations Manager to join our team, with a focus on engaging deep collaborations with the next generation of security companies building solutions for the AI and Agentic era. In this role, you will work directly with security companies, guiding them on how to leverage NVIDIA software stacks when developing solutions to secure AI and Agentic environments and workloads. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. What You'll Be Doing: • Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in the AI and Agentic Security industry with cross-functional partners to drive adoption of NVIDIA technologies. • Accelerate critical workloads by demonstrating groundbreaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines. • Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions. • Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies. • Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies. • Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps. What We Need to See: • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or equivalent practical experience. • 8+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in AI and Agentic Security • Proven experience leading, partnering, and scaling developer programs at major technology companies, preferably Security Companies. • Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or security frameworks and libraries. • Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives. • Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops Ways to Stand Out from the Crowd: • Hands-on experience building or optimizing vertical-specific solutions (e.g., network stacks, bidding algorithms, data pipelines, etc.). • Familiarity with advanced computing, AI, and/or GPU acceleration platforms (insert relevant stack/libraries for the vertical, e.g., CUDA, Triton, NeMo, DOCA). • Successful history of building and scaling developer communities and delivering impactful technical enablement programs. With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.

NVIDIA is building state-of-the-art accelerated computing platforms that know no boundaries. Our technology is crucial for global innovators, scientists, researchers, and engineers, empowering them to transform their boldest concepts into tangible outcomes. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters. We seek a highly motivated and experienced Researcher specializing in Ethernet Networks and Switch ASICs to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining end-to-end solutions, networking protocols and features, interworking with orchestration systems, and help address new business opportunities in exciting areas. Our Architects also represent NVIDIA in open-source projects, technical conferences, and standard development organizations. What you'll be doing: • Research switch-level capabilities to cluster-scale outcomes, including interactions with orchestration, job scheduling, collective communication patterns, and observability. • Explore hardware/software tradeoffs for high-radix Ethernet switches aimed at next-generation AI fabrics. • Investigate ML methods for traffic understanding, control-plane assistance, configuration optimization, and other high-leverage areas. • Build and implement Proof-of-Concepts (PoCs) using network/system simulations, performance models, and data-driven analyses to compare design alternatives to influence architecture decisions. • Continuously evaluate emerging protocols, software stacks, open-source initiatives, partner ecosystems, and academic work for alignment with the Ethernet switch roadmap. • Collaboration with architects across various fields, advanced development teams, and other researchers. What we need to see: • M.Sc. or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering. • 12+ years of experience in system architecture, networking technologies, and embedded software, including 3+ years functioning as a Researcher in that fields. • Expert-level knowledge in Ethernet/IP technologies, network topologies, and networking features and protocols in data center. • Excellent understanding of large-scale network behavior, network simulation, and the effect of distributed computing workloads on the network. • Demonstrated ability to conduct deep research, prototype ideas, show their value on the path to new technologies, and produce innovative ideas and practical applications. • Clear verbal and written communication with the ability to build consensus within a large organization. • Possess problem-solving and critical thinking skills. • Ability to operate in a highly dynamic environment. Ways to stand out of the crowd: • Practical research and innovations that relate to networking. • Knowledge in various Switch ASIC hardware and software abstraction. • Applying ML/AI methods to solve networking problems. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by extraordinary technology —and amazing people. NVIDIA is looking for a highly motivated Architect to join the NVIDIA DSX AIR team to help build our next-generation AI platforms. In this role, you will leverage your extensive expertise in Kubernetes internals, deep networking, and distributed systems to design and scale advanced infrastructure. NVIDIA Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments. To learn more, visit Nvidia DSX Air. What you'll be doing: • The responsibility specifically is for Architecture, infrastructure requirements, and designing highly scalable distributed microservices systems. • Working closely with System Architects, Development and DevOps engineers to conduct comprehensive design reviews, ensuring all technical implementations strictly adhere to the general product architecture. • Maintaining hands-on capabilities to rapidly build, execute, and demonstrate Proof of Concepts (POCs) for new architectural patterns and technologies. • Championing the adoption of additional AI-driven tools and processes to aggressively automate system operations and repetitive workflows wherever possible. • Architecting and developing large-scale systems over k8s, utilizing a deep understanding of its structure to fine-tune performance and stability. • Designing and optimizing deep networking solutions for container/k8s environments • Continuous evaluation of existing system and driving improvements across our platform and AI integration layers. What we need to see: • 8+ years of experience and deep understanding of the latest distributed microservices based architectures, specifically utilizing event-driven and reactive models. • Deeply familiar with the latest AI trends, alongside a strong foundational understanding of modern platforms and AI architectures. • Deep understanding and hands-on experience with Kubernetes (k8s) internals, specifically its control plane infrastructure and core services. • Proven experience developing, maintaining, and deploying k8s ecosystem components such as operators and CRDs and/or customizing internal k8s control plane services. • Demonstrated capability in developing large-scale systems over k8s, with the ability to understand its deep structure and fine-tune it for massive workloads. • Deep understanding of advanced networking solutions and container/k8s networking • Having good programing background in one high level language (such as Go or Python) to facilitate deep system development and execute hands-on POCs. • Bachelors degree NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in ground-breaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.