Jobs in Tel Aviv-Yafo

Description We are looking for a Head of AI-Native Engineering at the Senior Director level: a technology and innovation leader who will identify, build, and scale the next generation of AI-driven capabilities across our software development lifecycle. This is not a traditional R&D management role. It is a high-impact builder role for someone who can challenge the status quo, identify opportunities before they become obvious, and turn ambitious ideas into meaningful technological and organizational transformation. Working closely and directly with the VP of R&D, you will have a broad mandate and strong organizational backing to experiment, build new capabilities from the ground up, and rethink how software gets built at Stampli. You will be expected to move from ideas to execution, prove what works, and scale successful approaches across the R&D organization. You will build and lead a team responsible for developing the tools, infrastructure, workflows, and organizational capabilities required to make AI-native software development a scalable and measurable reality at Stampli. What You Will Do • Lead Our AI Transformation: You will transition the organization from AI assisted coding/reviewing toward an outcome-based workflow. The objective is to replace traditional, coordination-heavy processes with precise specifications and externalized behavioral scenarios, allowing AI agents to build and test software autonomously, as a black box. • Build and Lead the Team: Build and lead a team responsible for developing and scaling the tools, infrastructure, workflows, and capabilities required for AI-native software development. • Own Coding Agents and AI Tools: Evaluate and select coding agents and AI tools, define how they are used across R&D, and create shared context across repositories—including instructions, skills, and MCP servers. • Design Agentic Development Workflows: Define the end-to-end flow from idea to production, including how work and responsibilities are divided between developers and AI agents. • Reimagine the SDLC: Rethink how software is designed, developed, tested, deployed, and maintained, and translate that vision into practical, scalable ways of working. • Shape AI-Ready CI/CD: Define the requirements for faster and more reliable delivery pipelines, including quality gates designed for AI-generated code. Partner closely with DevOps, which will implement and own the pipelines. • Enable Parallel Development at Scale: Establish isolated development environments that can be provisioned quickly, enabling developers and AI agents to work safely and efficiently in parallel. • Build From Zero to Scale: Identify high-impact opportunities, validate ideas quickly, and turn successful experiments into scalable capabilities adopted across the organization. • Turn Innovation Into Impact: Lead POCs and strategic technology initiatives from initial concept through development, implementation, adoption, and measurable organizational impact. • Transform Processes and Team Structures: Adapt development processes, team rituals, roles, and team composition to support AI-native ways of working. Identify areas of inefficiency, time waste and any opportunity to improve productivity; then plan, execute and monitor solutions. • Measure Adoption and Impact: Define success metrics, track tool adoption, organizational impact, performance, and cost, and report transparently on progress and results. • Establish AI Governance: Define AI usage policies and agent permissions in close partnership with Security, ensuring innovation is implemented responsibly and at scale. • Own What You Build: Maintain end-to-end ownership of the tools and capabilities developed by you and your team—from experimentation and implementation through rollout, adoption, and ongoing evolution. • Shape the Technology Vision: Define a forward-looking technology vision, challenge existing assumptions, and explore emerging technologies, architectures, and new possibilities. • Elevate Our Culture of Innovation: Build on Stampli’s existing culture by expanding experimentation, continuous learning, ownership, and entrepreneurial thinking across R&D. What You Will Bring • Significant experience as a technology leader in a product company, such as a Founder, Co-Founder, CTO, Entrepreneur in Residence, or senior technology leader. • Proven experience building and leading high-performing technical teams. • A track record of identifying opportunities and turning early-stage ideas into real products, systems, or organizational capabilities. • Experience leading AI adoption, major technological change, or organization-wide innovation. • Strong technical depth and credibility, with the ability to engage deeply in software architecture, infrastructure, development practices, CI/CD, and AI-assisted development. • Hands-on familiarity with coding agents, AI development tools, agentic workflows, or the infrastructure required to deploy them effectively across an R&D organization. • An AI-native mindset and the ability to rethink how software should be built and how R&D organizations should operate in the AI era. • A builder mentality, with the ability to move quickly from exploration and experimentation to implementation and measurable impact. • An entrepreneurial mindset and the initiative to take action without waiting for a predefined roadmap. • Strategic thinking, with the ability to anticipate future technological shifts while translating them into decisions and actions today. • The ability to challenge senior leaders, influence across teams, and build alignment without relying solely on direct authority. • Strong execution capabilities and the determination to drive complex initiatives from concept through adoption at scale. Why Join Stampli? Stampli is revolutionizing financial operations with AI, far ahead of competitors. For nearly a decade, our AI assistant, Billy, has set the industry standard—processing $100B+ in invoices annually and saving millions of labor hours for 1,600+ customers. More than automation, Billy transforms finance teams by freeing them from manual work. Our explosive growth places us among the top tech companies at our stage, with exceptionally low churn. After conquering the Accounts Payable space, we are now revolutionizing the entire procure-to-pay (P2P) lifecycle with our new platform, which “connects every dot from request to reconciliation.” What sets us apart? We adapt to our customers—not the other way around—integrating with 70+ ERPs in weeks, not months. Our customer-first approach extends to our award-winning workplace culture and vibrant global offices. We have earned multiple Comparably awards, including Best Company Outlook, Work-Life Balance, Compensation, Happiness, and Perks & Benefits. At Stampli, we build exceptional products with exceptional people. Join our dynamic team and grow your career in an environment that champions creativity, collaboration, ownership, and meaningful innovation.

Description Stampli is building finance software in a new way: AI-native, grounded in real financial workflows, and shaped by people who understand the work deeply. We are looking for entrepreneurs with deep finance, fintech and ERP experience who bring strong product judgment. This role is for people who have lived finance systems complexity firsthand and want to use that experience to build product. You might come from finance transformation, ERP, consulting, operations, or fintech. What matters is that you understand where workflows fall short, where controls matter, how better systems should work, and how product decisions create business value. At Stampli, AI-native tools are part of how we build. This role is a chance to turn finance and ERP insight into product faster, with more context and better judgment than traditional product development allows. You’ll collaborate closely with teams across the Bay Area and Israel. What You Will Do • Find high-value opportunities in fintech and ERP workflows that should be redesigned, not just improved • Shape those opportunities into clear product direction with strong user and business value • Define workflow logic, edge cases, controls, exceptions, and handoffs • Decide what should be automated and what should remain human-driven • Work with engineering, design, data and marketing to build and ship new capabilities • Test ideas with customers, learn quickly, and refine fast • Own the path from problem identification to customer value and business impact What You Will Bring • 8+ years of experience in finance, fintech, or ERP financial systems • Deep understanding of financial workflows, ERP systems, and finance operations • Hands-on experience using AI-native tools such as Cursor, Claude Code, Codex, or similar tools to prototype, automate, analyze, and build • A track record of building and launching new initiatives and redesigning how work gets done • Systems thinking and the ability to turn complex workflows into clear product logic • Product sense across user experience, workflow design, automation, controls, and tradeoffs • Business judgment and the ability to connect product decisions to customer value, adoption, differentiation, and monetization • Clear communication, structured thinking, and strong ownership

Description Stampli is seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, you’ll work cross-functionally to lead end-to-end AI projects—from data exploration to deployment—helping shape the future of our intelligent products and user experiences.If you’re passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, we’d love to connect. What You Will Do • Identify AI opportunities to enhance product experiences and operational efficiency. • Collect, analyze, and model diverse financial datasets to develop actionable AI Products. • Own the full AI solution lifecycle—from problem definition to research, modeling, and hands-on implementation. • Break down complex problems into well-defined, structured work plans. • Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products. • Stay up to date with AI, ML, and LLM trends, translating them into practical applications. • Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation. What You Will Bring Education & Experience • Bachelor's degree in Computer Science, Engineering, or a related STEM field; Master’s in a data science-related field is a plus. • 6+ years in a data science role, ideally within a SaaS or tech-driven company. • Proven experience leading and delivering AI-based solutions to key business problems. • Excellent communication and collaboration abilities (Hebrew & English). Technical Skills • Hands-on experience building and shipping LLM-based agentic systems. • Proven ability to take ML/LLM solutions from research to production, from exploring and prototyping through validation to a production-grade rollout. • Strong evaluation skills: building labeled eval sets, defining metrics, and running offline benchmarks and shadow or A/B comparisons. • Experience deploying and owning models or services in production, including APIs (FastAPI), queue-based async processing, and ongoing monitoring and evaluation. • Ability to investigate production behavior with logs, metrics and data, find the root cause of quality issues, and verify fixes. • Familiarity with cloud services, preferably AWS (S3, DynamoDB, SQS, Bedrock). Advantages • Strong Python engineering: clean, testable code (pytest), async, typed data models (Pydantic), Git and code review. • Experience with retrieval and search: embeddings, vector or hybrid search (OpenSearch/Elasticsearch), and RAG. • Experience with document AI: OCR, layout and table understanding, and invoices or financial documents. • Experience with LLM frameworks such as LangChain or LlamaIndex, and experiment tracking (MLflow). • Experience with big data and data warehouses (Redshift or similar). You Will Get • AI-driven workplace: Work with cutting-edge tools like ChatGPT Enterprise to enhance productivity, spark innovation, and streamline your day-to-day. • Hybrid model: Join us in our Tel Aviv office three days a week (Tue–Thu), with the flexibility to work the rest of the week remotely. • Stock options and real ownership in what you help build. • Career growth supported by experienced, innovation-focused leadership. • Modern, inclusive environment within a fast-moving scale-up culture. Why Join Stampli? Stampli is revolutionizing financial operations with AI, far ahead of competitors. For nearly a decade, our AI assistant, Billy, has set the industry standard—processing $100B+ in invoices annually and saving millions of labor hours for 1,600+ customers. More than automation, Billy transforms finance teams by freeing them from manual work. Our explosive growth places us among the top tech companies at our stage, with exceptionally low churn. After conquering the Accounts Payable space, we are now revolutionizing the entire procure-to-pay (P2P) lifecycle with our new platform, which “connects every dot from request to reconciliation.” What sets us apart? We adapt to our customers—not the other way around—integrating with 70+ ERPs in weeks, not months. Our customer-first approach extends to our award-winning workplace culture and vibrant global offices. We have earned multiple Comparably awards, including Best Company Outlook, Work-Life Balance, Compensation, Happiness, and Perks & Benefits. At Stampli, we build exceptional products with exceptional people. Join our dynamic team and grow your career in an environment that champions creativity, collaboration, ownership, and meaningful innovation.

Who we are DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world. We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us. What will you do You will join a team of experienced engineers and help them in developing our innovative Brand Safty products. You will lead projects by architecting, designing and implementing solutions that will impact the core components of our system. You’ll develop new and awesome features while leveraging cloud native technology stack, do continuous improvements of our development process by adapting new technologies, and using them to solve product and engineering challenges while raising the bar of code quality and standards. Who you are • 5+ years of experience coding in an industry-standard language such as Scala, Java, Rust, Closure, Kotlin, Go etc. • Deep understanding of Computer Science fundamentals: object-oriented design, functional programming, data structures, multi-threading and distributed systems. • Experience with in-memory distributed cache such as Aerospike or Redis and messaging systems such as Apache Kafka, etc. • Experience working with Docker, Kubernetes and designing scalable microservices architecture. • Experience in working with SQL (MySQL, PostgreSQL) and Columnar/NoSQL Databases such as (BigQuery, Vertica, Snowflake, Couchbase, Cassandra, etc.). • Experience working in a BigData environment and building scalable distributed systems with stream processing technologies such as Akka Streams, Kafka Streams/Spark/Flink. • Experience working with cloud providers such as GCP or AWS • BSc in Computer Science or equivalent experience. • Experience with Agile development, CI/CD pipelines (Git ,GitLab or Jenkins) and coding for automated testing. • A versatile developer with a “getting-things-done” attitude. Nice to have • Previous experience with online advertising technologies is a big plus. • Familiarity with the cloud-native computing foundation. #Hybrid

Description We’re looking for a strong Senior SW Engineer to join our Data team. Why Mitiga? EDR protects the endpoint. Mitiga protects everything else, anticipating and disrupting active attacks across the modern stack and stopping them before they reach the business. Mitiga is the leader in Zero-Impact Breach Prevention, delivered through Agentic Runtime Security for the modern infrastructure — cloud, SaaS, identity, and AI. By delivering the runtime detection and response that security teams already rely on for endpoints, extended to the infrastructure endpoint tools can’t see, Mitiga provides Zero-Impact Breach Prevention, in runtime. The Role Our detection engine is a large Python codebase running PySpark over cloud, SaaS, and identity data at scale on Databricks. You’ll own its engineering quality — hardening what’s there and extending it — working alongside the cyber investigators who define what it should catch. In this role, you will: · Harden and extend a large production Python codebase: refactoring, module and API design, typing, test coverage. · Own and optimize critical PySpark workflows processing massive security datasets across multi-cloud environments — correctness and cost both. · Design the data models and queries the engine depends on, and fix the slow ones. · Work directly with cyber investigators to turn attacker behavior into detection logic that holds up in production. · Build with AI as a core tool: AI coding agents daily, and the AI tooling the team runs on — agentic and automated workflows (n8n or similar) and LLM-backed services on Bedrock or vendor APIs. · Raise the bar on engineering practice — code review, CI, and the standards the team holds each other to. · Contribute to architectural decisions and technical direction as the platform evolves. Requirements Who you are · 5+ years of production Python at a company — typing, refactoring code you didn’t write, module and API design, pytest, packaging, and a real code-review culture. · Hands-on SQL — you design schemas and you fix slow queries, not just read them. · AI-native — AI coding agents (Claude Code) are part of how you work, and you’ve shipped something real on top of an LLM: prompt design, structured outputs, orchestrating multi-step or agentic flows, and testing behavior that isn’t deterministic. Which platform you used matters far less than having done it. · Fluent in Git and CI — you read a failed pipeline and fix it yourself. · Energized by fast-paced startup environments where ownership, adaptability, and collaboration are essential to success. It Would Be Nice If You Also Had: AWS (S3, IAM, compute) and AWS Bedrock · workflow automation and agent platforms (n8n, LangGraph, Temporal) · MCP servers or tool-calling integrations · both Spark and Kafka · a security, detection-engineering, or SIEM background. Some More Details and Perks Some More Details and Perks Location: Tel Aviv, IL Hybrid work Environment Competitive compensation package with stock options, educational funds, cibus. Top of the line equipment For more information visit us at www.mitiga.io Mitiga is an equal opportunity employer, committed to diversity and inclusiveness and aim to attract, retain, and engage a diverse workforce. We consider all qualified applicants without regard to race, color, nationality, gender, gender identity, sexual orientation, religion, disability, age or any other characteristic protected by law.

Description We’re looking for Principal Cloud Security Researcher with a strong security background to join our innovative Research team. Why Mitiga? EDR protects the endpoint. Mitiga protects everything else, anticipating and disrupting active attacks across the modern stack and stopping them before they reach the business. Mitiga is the leader in Zero-Impact Breach Prevention, delivered through Agentic Runtime Security for the modern infrastructure — cloud, SaaS, identity, and AI. By delivering the runtime detection and response that security teams already rely on for endpoints, extended to the infrastructure endpoint tools can’t see, Mitiga provides Zero-Impact Breach Prevention, in runtime. The Role We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization. You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team. What You'll Do Drive Groundbreaking Research • Own and drive Mitiga's most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication. • Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats. • Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities. • Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it. Be a Voice in the Community • Represent Mitiga as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions. • Build and maintain Mitiga's reputation as a research-driven company that advances the field - not just a vendor with a blog. • Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing. Shape the Product • Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats. • Design and develop advanced detection algorithms that directly feed into Mitiga's platform, closing the gap between research insight and customer protection. Elevate the Team • Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to. • Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices. • Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities. • Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity. Requirements Who You Are • 8+ years in security research, threat research, or closely related fields (offensive security, detection engineering, incident response, cloud security engineering). Fewer years are fine if your depth and track record are exceptional. • Deep multi-cloud expertise - strong hands-on experience across at least two of the major cloud providers (AWS, Azure, GCP), with working knowledge of the third. You understand the IAM models, logging pipelines, APIs, and attack surfaces that matter in each. • A track record of original research - you've published meaningful technical findings through blog posts, conference talks, open-source tools, or vulnerability discoveries that moved the needle. We want someone who doesn't just consume research - you produce it. • Strong adversarial mindset and critical thinking - you think like an attacker targeting cloud infrastructure, SaaS platforms, identity systems, and Kubernetes. You can model threat scenarios, map out attack paths, and poke holes in defenses. • Ability to operate autonomously on ambiguous, high-stakes problems. You don't wait for detailed specs - you identify what matters and drive it forward. It Would Be Nice If You Also Had • Experience with cloud forensics and incident response (DFIR in cloud/SaaS environments). • Background in red teaming or penetration testing targeting cloud environments. • Familiarity with Kubernetes security, container escape techniques, and cloud-native supply chain risks. • Experience building or contributing to threat intelligence frameworks or detection content libraries. Some More Details and Perks • Location: Tel Aviv, IL • Hybrid work Environment • Competitive compensation package with stock options, educational fund, cibus. • Top of the line equipment For more information visit us at www.mitiga.io Mitiga is an equal opportunity employer, committed to diversity and inclusiveness and aim to attract, retain, and engage a diverse workforce. We consider all qualified applicants without regard to race, color, nationality, gender, gender identity, sexual orientation, religion, disability, age or any other characteristic protected by law.

We are making the future of Mobility come to life starting today. At Autofleet we support the world’s largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization. At the heart of our platform lies the data infrastructure, driving advanced machine learning models and optimization algorithms. As the owner of data pipelines, you'll tackle diverse challenges spanning optimization, prediction, modeling, inference, transportation, and mapping. As a Senior Data Engineer, you will play a key role in owning and scaling the backend data infrastructure that powers our platform—supporting real-time optimization, advanced analytics, and machine learning applications. What You'll Do • Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools. • Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets. • Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle. • Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows. • Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability. • Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions. • Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability. Requirements • 4+ years in backend data engineering or infrastructure-focused software development. • Proficient in Python, with experience building production-grade data services. • Solid understanding of SQL • Proven track record designing and operating scalable, low-latency data pipelines (batch and streaming). • Experience building and maintaining data platforms, including lakes, pipelines, and developer tooling. • Familiar with orchestration tools like Airflow, and modern CI/CD practices. • Comfortable working in cloud-native environments (AWS, GCP), including containerization (e.g., Docker, Kubernetes). • Bonus: Experience working with GCP • Bonus: Experience with data quality monitoring and alertingֿ • Bonus: Experience with Snowflake, DBT, Flink, Kafka • Bonus: Strong hands-on experience with Spark for distributed data processing at scale. • Degree in Computer Science, Engineering, or related field.

We are making the future of Mobility come to life starting today. At Autofleet we support the world's largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization. We are looking for a talented AI Engineer to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes. What You’ll Do • Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions • Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails and audit trails. • Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback. • Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead. • Collaborate with engineering teams to design, build, and maintain production pipelines. Requirements • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline. • 5+ years of software engineering experience, with proven ability to build production-grade systems beyond research, experimentation, or prompt engineering. • Hands-on experience building and operating production-grade AI/LLM systems, ideally including agentic workflows, tool-calling, orchestration, evaluations, or multi-step reasoning systems. • Strong backend expertise, including Python, distributed systems, and cloud-native architecture. • Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, A2A and more. • Familiarity with REST APIs and integrating external data sources.

We are making the future of Mobility come to life starting today. At Autofleet we support the world's largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization. We are looking for a talented AI Applied Researcher to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes. What You’ll Do • Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions • Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails and audit trails. • Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback. • Collaborate with engineering teams to design, build, and maintain production pipelines. • Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services. Requirements • Master’s/Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field. • 3+ years of applied AI/ML experience with a focus on Generative AI, LLMs, and deep learning. • Depth in agentic system design, retrieval-augmented generation, context and tool engineering, and rigorous evaluation. • Familiarity with AI frameworks (e.g., HuggingFace Transformers, LangChain, scikit-learn, PyTorch) • Familiarity with embedding models and vector databases • Exceptional problem-solving, creative thinking, and analytical skills. • Experience with voice AI technologies, speech recognition, or text-to-speech systems - strong advantage.

Are you ready to shape the future of intelligent transportation technology? Join Autofleet as a Group Lead within our growing engineering teams. This pivotal role requires combining a strong technical vision with organizational leadership. You will define the technical direction for a critical domain, lead a global group of fullstack teams, and ensure we build scalable, high-performance systems that power real-time fleet optimization worldwide. This is a unique opportunity to influence both technology and people at scale within a rapidly growing global company. Key Responsibilities: Technical Vision & Architecture Ownership • Ability to roll up your sleeves and get into the details and be hands on where needed. • Define and drive the architectural strategy, as well as ensuring systems are built for long-term performance, scalability, reliability, and maintainability. • Lead complex, cross-functional system design initiatives, covering real-time workflows, large-scale data processing, and distributed services. • Establish and enforce engineering standards and best practices across development teams. Engineering Leadership • Lead, mentor, and foster continuous growth for a group of full-stack engineers, promoting a culture of ownership and engineering excellence. • Drive strategic organizational scaling through active involvement in the hiring process. • Build clear career development paths for team members. Strategic Delivery & Business Impact • Collaborate closely with Product Management and Business teams to define technical roadmaps, strategy, and ensure execution aligns with core company goals. • Work cross-departmentally with teams to deliver robust systems and exceptional user experiences. • Oversee the successful end-to-end delivery of large, complex, and cross-team initiatives. • Translate complex mobility and optimization challenges into robust, scalable technical solutions. Requirements • 5+ years of experience in engineering management, including managing team leads or senior engineers. • 10+ years of professional software development experience. • Proven track record of successfully leading large-scale, cross-team technical initiatives. • Proficient background in javascript/typescript, and strong knowledge in Node. • Experience in React- an advantage. • Proven track record leading teams that design, scale, and operate distributed, high-performance systems in complex production environments. • Demonstrated ability to translate complex, abstract business challenges into clear technical direction, scalable architecture, and execution plans delivered through engineering teams.

Traild: Who are we?  Traild is a high-growth SaaS company redefining how finance teams operate, combining AI, automation, and payments infrastructure to power the future of B2B finance. Every year, businesses lose billions to fraud, errors, and mistakes. Traild exists to solve this at scale, helping finance teams move faster, stay in control, and operate with confidence. With rapid customer growth, global expansion across APAC, North America and EMEA, and continued investment in product innovation, we are at a defining stage of our journey. This is an opportunity to help shape the next category leader in finance automation, control and security, building technology that transforms how businesses manage, move, and protect money. At the core of this is a powerful AI-driven platform, enabling finance teams to deploy intelligent agents that do the work, surface risk in real time, and continuously improve how financial operations run. Traild is building the infrastructure behind modern finance, protecting and powering meaningful volumes of the world’s B2B transactions. If you’re excited by high growth, real ownership, and building something that matters, Traild is the place to do the most impactful work of your career. Hear how Traild customers speak about us here. About the role We’re launching a new Financial Infrastructure team at Traild to build the next generation of our payments and platform capabilities from the ground up. This is a founding engineering role in our Tel Aviv office, with significant ownership, autonomy, and technical influence from day one. You’ll design and build foundational systems that power Traild’s platform, working on high-impact, mission-critical services and helping set the technical bar for the team. What you’ll do: • Own features end-to-end – Take ideas from early concept through production. You won’t just write code — you’ll ship real systems, iterate quickly, and see the impact of your work in production. • Think beyond the task – Take initiative, understand the broader system and business context, and help drive both product and technical decisions. This is not a ticket-driven role. • Leverage AI-accelerated development practices – Use modern AI coding tools to improve development velocity, code quality, and testing efficiency while building robust, secure, and scalable infrastructure. • Backend-focused, full-stack mindset – Your core focus will be backend systems, but you’re comfortable operating across APIs, data, infrastructure, and DevOps when needed. • Design for scale – Build backend services that are reliable, maintainable, and architected to scale with the platform. What you will bring: • 7+ years of professional software engineering experience, with a strong backend focus • Proven experience building or operating large-scale payment infrastructure systems within fintech, payments, or high-volume transaction environments • Proven experience owning real-time, mission-critical systems where low latency, correctness, and high availability are non-negotiable • BSc in Computer Science or equivalent hands-on experience • A builder’s mindset, with a track record of taking complex systems from idea to production and scaling them in production • Comfortable operating across the stack when needed, from APIs and business workflows to infrastructure and deployment • Production experience with Python and Go, building scalable backend and high-performance services • Deep experience building and operating systems on GCP • A modern engineering mindset, with strong instincts for using automation and AI tools to increase impact and velocity • A high bar for quality and a willingness to challenge yourself and the team • Clear communication skills and the ability to collaborate effectively in small, senior teams The Perks of Working at Traild   • Flexibility: we offer a range of remote, hybrid and flexible working options.  • Global team: we are growing across APAC, NA and EMEA and have team all across the world.  • We are growing at an exponential rate, this is an opportunity to get involved with a true rocketship with all the excitement and opportunities that comes with it  • Our team genuinely loves working at Traild: our eNPS score is 68, where anything above 50 is considered world-class. Please note that the final applicants for this job will be asked to consent in writing to a police check / criminal background check to the extent permitted by law in your jurisdiction of employment. Please note that Traild is an E-Verify employer.

BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com. About the Role We’re looking for a highly skilled Web Solutions Engineer—someone who lives and breathes the web, thrives on solving complex puzzles, and enjoys navigating the intricacies of modern browsers, networks, and hybrid environments. In this role, you will become the expert behind BioCatch’s Web SDK integrations for enterprise customers worldwide. You will troubleshoot and resolve technical challenges across browsers, WebViews, and customer environments; enable seamless integrations; and partner with both internal and external engineering teams to ensure high-quality deployments. If you enjoy diving deep into the “why” behind system behavior and have a passion for making complex things simple, this role is for you. What You’ll Do Lead Web SDK integrations for global enterprise customers, primarily in the banking and financial sectors. Investigate and resolve advanced web issues including CORS, cookies, storage, CSP, CDN failures, ad blockers, redirects, caching, and hybrid/WebView behaviors. Support Solution Engineers, R&D, and BioCatch customers, by providing high-level technical expertise, root cause analysis, guidance on complex edge cases, and ensure successful deployments Manage SDK configurations and version upgrades, including bootstrapping, NPM delivery, session continuity, and environment tuning. Create and maintain technical guides, best practices, and internal training to empower SE teams across regions. Ensure integrations are secure, resilient, and optimized across browsers, devices, and customer environments. About You Curious, analytical, and naturally driven to understand how systems behave under the hood. You excel at context switching, thrive in complex environments, and enjoy working at the intersection of engineering, product, and customer success. Requirements • 5+ years of hands-on experience with JavaScript/TypeScript and modern web development (ES6+, DOM APIs, async patterns). • Strong experience with React, Next.js, and production-grade web applications. • Deep understanding of browser fundamentals, including Chrome/Safari/Firefox differences, WebView nuances, event loops, and rendering behavior. • Excellent knowledge of network mechanics - headers, cookies, CORS, CSP, redirects, caching layers. • Proven ability to troubleshoot complex, multi-layered web issues end-to-end. • Strong communication skills, especially in enterprise-facing environments. • Ability to explain complex technical concepts clearly to both technical and non-technical audiences. • High proficiency in English, both written and verbal. • Experience working in a global, cross‑time‑zone environment. • Independent, resourceful, and comfortable owning high-impact technical investigations. Optional but Advantageous • Experience integrating or supporting SDKs, libraries, or SaaS platforms. • Familiarity with mobile WebView behavior (iOS/Android, hybrid apps). • Experience collaborating with cross-functional engineering groups. • Understanding of data collection patterns or instrumentation frameworks. • If you’re excited by deep technical challenges, love decoding browser behavior, and want to impact the world’s largest financial institutions, we’d love to meet you.

BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com. Responsibilities • Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built. • Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance. • Optimize and monitor the team-related cloud costs. • Design and construct monitoring tools to ensure the efficiency and reliability of data processes. • Implement CI/CD for Data Workflows Requirements • 5+ Years of Experience in data engineering and big data at large scales. - Must • Extensive experience with modern data stack - Must: 1. Snowflake, Delta Lake, Iceberg, BigQuery, Redshift 2.Kafka, RabbitMQ, or similar for real-time data processing. 3.Pyspark, Databricks • Strong software development background with Python/OOP and hands-on experience in building large-scale data pipelines. - Must • Hands-on experience with Docker and Kubernetes. - Must • Expertise in ETL development, data modeling, and data warehousing best practices. • Knowledge of monitoring & observability (Datadog, Prometheus, ELK, etc) • Experience with infrastructure as code, deployment automation, and CI/CD. • Practices using tools such as Helm, ArgoCD, Terraform, GitHub Actions, and Jenkins. Our stack: Azure, GCP, Databricks, Snowflake, Airflow, Spark, Kafka, Kubernetes, Neo4J, AeroSpike, ELK, DataDog, Micro-Services, Python, SQL Your stack: Proven strong back-end software engineering skills, ability to think for yourself and challenge common assumptions, commitment to high-quality execution, and embrace collaboration

BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com. BioCatch is looking for a Data Scientist to join our team. The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives. Responsibilities: Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud. Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment. Perform exploratory data analysis and data visualization to gain insights and communicate findings. Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production. Implement advanced analytics tools and technologies to enhance reporting capabilities. Requirements • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. • Minimum of 5 years of experience as a Data Scientist or in a related field, with experience working in a production environment or PHD with relevant experience • Strong programming skills in Python and proficiency in SQL. • Deep understanding of statistical analysis, machine learning, deep learning and data visualization techniques. • Strong communication and collaboration skills to work effectively in a team environment. • Skills in developing AI agents, such as LLM-based assistants or autonomous workflows - advantage

BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com. What we're looking for: BioCatch delivers advanced behavioral insights, providing global organizations with actionable intelligence to create a secure and frictionless digital customer journey. We are looking for a talented DevOps Engineer to join our team, learn develop and grow with us. In this role you will work collaboratively with our RnD teams to empower the operations and infrastructure array, which is essential to support our ambitious goals. Build and maintain a scalable cloud infrastructure in Production (Azure, GCP) Troubleshoot and fix Production infrastructure/platform issues Proactively and continuously improve Production stability and robustness to assure our infrastructure components are always up and available Develop end to end projects in order to make our infrastructure better in large-scale including design, implementation, and ongoing maintenance. Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes. Requirements • 5+ years of experience as SRE /DevOps engineer - Must • 5+ years of experience with cloud environments such as Azure, GCP or AWS - Must • Programming Skills: Proficiency in programming languages such as Python etc. - Must • Kubernetes: Proven experience working with Kubernetes in production environments. • Linux distributions familiarity: Ubuntu / CentOS • Networking & Security: Solid understanding of computer networking fundamentals and cloud security principles • CDN and DNS systems – AWS CloudFront / Azure Front door • Deep Understanding of web servers (Nginx preferred) • Experience with logging monitoring services (such as Prometheus, Grafana,Datadog and Coralogix). • Experience working with Infrastructure as Code (IaC) tools (Terraform preferred).

BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com. We are looking for a Backend Engineer to join our Data Engineering team and build backend components and data-focused infrastructure for large-scale data processing. You will design and maintain core microservices and data pipelines that power our products and provide reliable data sources to teams across the company. Your work will focus on customer-facing features that depend on complex data assets, with an emphasis on reliability, clear SLAs, observability, and flexibility. What you will do Design and implement infrastructure for high-volume data processing Continuously improve performance, cost, and reliability at scale Collaborate with frontend teams on customer-facing features and applications Work with stakeholders across the company to ensure data processes meet their requirements Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices What you will do • Design and implement infrastructure for high-volume data processing • Continuously improve performance, cost, and reliability at scale • Collaborate with frontend teams on customer-facing features and applications • Work with stakeholders across the company to ensure data processes meet their requirements • Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices Requirements • 3–5 years of experience in backend development • Strong hands-on experience with Python • Experience building high-scale, low-latency, robust services deployed across multiple AKS namespaces/regions with different configurations • Experience with at least one major cloud platform (Azure preferred) • Advantages / Nice to Have • Experience with modern data platforms – Snowflake / Delta Lake / Iceberg • Experience with distributed data processing (Databricks, PySpark, or similar) • Experience with leadership — team management, project ownership, or task management • Personal Attributes • Ownership mindset and accountability • Passion for performance, scale, and cost-efficiency • Strong communication skills and effective collaboration with cross-functional teams

REAL is building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across PDFs, spreadsheets, emails, drawings, public records, and disconnected systems, leading to preventable leakage, missed obligations and lost opportunities to improve performance. Used by leading enterprises, REAL converts this fragmented data into connected intelligence and automated action. With advanced AI, universal ingestion, and modular execution agents, REAL increases operational accuracy, uncovers financial discrepancies, and surfaces opportunities to optimize performance and enhance business outcomes. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters, in our product and in how we operate. Velocity: We work with urgency and intent. Partnership: We collaborate closely with our customers and with each other. • Build & Design Develop end-to-end product features using a modern stack: Node.js (TypeScript), Angular, Python, LangGraph, Postgres, and AWS CDK. As a Tech Lead here, you won’t just integrate AI models - you’ll help create the AI agents, tools, and capabilities themselves. You’ll work on the most impactful AI capabilities, whether for smarter features, better workflows, or more personalized usage. We’re always building what’s next, not what’s already crowded. You’ll own solutions from database to UI, shipping real value, not just tickets. • Architect the Future Take part in high-level architectural decisions, technical research, and design. You’ll help shape scalable, robust, and forward-thinking systems that can grow with our customers and our product vision. • Collaborate with Purpose Work directly with customers, stakeholders, and internal teams to build a seamless, intelligent platform experience. You’ll translate real needs into elegant, reliable software that makes a tangible impact. • Lead & Mentor Lead and mentor engineers while cultivating a culture of excellence and knowledge-sharing. You’ll raise the bar on engineering standards through code reviews, design sessions, and hands-on collaboration. • Optimize & Innovate Continuously improve platform performance, scalability, and maintainability, while staying ahead of industry trends. Bring fresh ideas into the product and drive innovation that moves the company forward. Requirements What We’re Looking For: • 7+ years of experience as a Full Stack Engineer • Strong proficiency in our tech stack (Node.js, Typescript, Angular, Python, AWS) • Expertise with relational databases (PostgreSQL, MySQL, or similar) • Hands-on experience with cloud platforms (AWS or equivalent), including services like SQS, Lambda, and more • Demonstrated leadership experience mentoring and guiding teams • Strong problem-solving abilities and comfort working with complex, scalable systems Nice to have: • Experience with NestJS • Hands on Experience building AI based Applications • Proficiency with Prisma ORM • Strong hands-on experience with AWS CDK for infrastructure-as-code Why REAL? • Lead the development of innovative, scalable cloud architecture in a fast-growing startup • Work at the cutting edge of AI and real estate technology • Join a company with real opportunities for personal and professional growth • Be part of a mission-driven team shaping the future of an entire industry

REAL is building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across PDFs, spreadsheets, emails, drawings, public records, and disconnected systems, leading to preventable leakage, missed obligations and lost opportunities to improve performance. Used by leading enterprises, REAL converts this fragmented data into connected intelligence and automated action. With advanced AI, universal ingestion, and modular execution agents, REAL increases operational accuracy, uncovers financial discrepancies, and surfaces opportunities to optimize performance and enhance business outcomes. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters, in our product and in how we operate. Velocity: We work with urgency and intent. Partnership: We collaborate closely with our customers and with each other. Role Overview As an AI Algorithm Engineer at REAL, you’ll design and implement advanced algorithmic workflows that power our data digestion pipelines and conversational AI agent experience. You will: • Architect and build workflows that turn raw, unstructured data (e.g., PDF documents and ultra high-resolution architectural drawings) into meaningful, structured context for downstream analysis. • Combine techniques from classical NLP, computer vision, unsupervised learning, and graph theory to build robust end-to-end pipelines - not just standard LLM API calls, but intelligent decomposition, structuring, and context engineering. • Develop AI agent workflows that let customers explore, query, and reason about their data naturally and reliably. • Build strong evaluation infrastructure to benchmark and continuously improve both classical algorithmic components and LLM-based workflows. • Work primarily in Python, and collaborate across systems and services in TypeScript when needed. • Move fast from prototype to production, while maintaining correctness, scalability, and measurable quality. Requirements What You’ll Do Core Responsibilities • Design and implement end-to-end data digestion pipelines for complex unstructured and semi-structured inputs. • Integrate classical algorithms with LLM-centric workflows to produce high-quality contextual inputs for reasoning tasks. • Build systems for segmentation, structure extraction, semantic decomposition, embedding-based representations, and graph construction. • Develop agentic workflows that combine tools, retrieval, and reasoning for interactive customer experiences. • Design evaluation suites, datasets, metrics, and regression tests to measure quality, robustness, and performance over time. • Continuously refine workflows based on customer usage, failure analysis, and measurable improvements. What We're Looking For Required Qualifications • MSc (or equivalent experience) in Computer Science, Mathematics, Electrical Engineering, or a related quantitative field. • 5+ years of experience in data science / algorithm development / applied research engineering roles. • Strong experience building complex algorithmic workflows beyond model calls - including multi-stage pipelines, feature extraction, structure inference, and optimization. • Deep understanding of LLM digestion concepts: RAG, context engineering, chunking strategies, retrieval and ranking, tool usage patterns, and reliability techniques. • Experience designing and maintaining evaluation frameworks for both classical algorithms and LLM workflows (offline + online, regression, benchmarking). • Strong programming skills in Python; familiarity with TypeScript is a plus. • Ability to thrive in a high-ownership startup environment: ambiguity, speed, responsibility, and continuous learning. Nice To Have • Familiarity with vector databases and scalable retrieval architectures. • Familiarity with agent orchestration frameworks (e.g., LangChain) and tool-driven reasoning systems. • Experience deploying AI workflows into production with monitoring, guardrails, and iteration loops. Benefits Why Join REAL • You’ll work on problems that don’t have a pre-scripted solution - it’s a privilege to be among the first to tackle them. • High ownership and direct impact on the core product and architecture. • A fast iteration environment where strong engineers ship meaningful work quickly. • A chance to grow alongside the AI revolution - adapting, learning, and building what’s next.

Description We are looking for talented and experienced VLIS Design Engineers/Micro-architects. As an VLIS Design Engineer/Micro-architect, you'll have the opportunity to design highly sophisticated, innovative new cutting edge communication systems from scratch. In this position you will be responsible for coming up with creative solutions to architectural challenges and crafting the very fine details of the implementation Requirements Job requirements: • 5 years of experience as ASIC/FPGA designer • Strong Verilog/System-Verilog experience • Familiar with simulation tools/environments, verification methodologies • Strong team player, solid interpersonal skills • Entrepreneurial can-do attitude, self-motivated, able to work independently • BS/MS in EE/CE from lead universities Background in one or more of the following domains is an advantage: • Familiar with advanced design practices (Clock/Voltage domain crossing, Low Power Design, DFT) • Design DSP of oriented blocks • Ethernet (100G and above) • Scripting experience using several of the following: Python, Perl, TCL

Description For an exciting well-funded start-up, we are looking for a DSP Optical Communication Algorithm senior engineer. As an Algorithm Engineer you will be part of the R&D group developing next generation coherent optical transceivers for DCI with data rates of 800Gbps and 1600Gbps. You will design, simulate, and optimize algorithms. You will interact with many different teams such as: Analog, System, VLSI, Design Verification and FW. What will your work look like? • Design and simulate DSP architectures, define key capabilities, performance requirements and drive specifications for analog, digital and firmware designers. • Develop and simulate DSP algorithms and behavioral models of the optical channel, the optical-electrical transceivers and analog units (ADC/DAC). • Work with designers to ensure circuit architecture can be efficiently implemented. • Participate in cross-functional teams with analog, digital, and firmware designers for bring-up and validation/optimization activities. Requirements Required Experience • 5 years or more of hands-on experience and a well proven record of modem algorithms development (Clock Recovery, Equalization, Phase Recovery, and tracking) for Single Carrier modulation and demodulation. • Fixed point design and programming in MATLAB and C • Very good understanding of System and HW implementation restrictions (from MATLAB to RTL) • Lab hands on (algorithms debug and tuning) Additional Preferred Experience • Experience with Optical Communication systems • Understanding analog mixed signal (ADC/DAC/PLL/VCO) and specifications • Experience with analog circuit calibrations Educational Background: BSc in Electrical Engineering