Jobs in Tel Aviv-Yafo

We are seeking a Networking Software Engineer to join our RDMA Transport Software team, driving the development of next-generation RDMA solutions for AI, cloud, HPC, and storage. You will research and develop innovative transport algorithms that push the limits of performance and scalability. You will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the world’s largest enterprises What you'll be doing: • Take part in research, design, and development of advanced RDMA transport mechanisms and algorithms, enhancing performance, reliability, and scalability. • Collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements. • Keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process What we need to see: • Bachelor's or Master's degree in Electrical Engineering or Computer Science fields from a known institute. • 5+ years of development experience • Knowledge with RoCE and/or InfiniBand, along with a background in RDMA development across software, firmware, or hardware. • Strong problem-solving skills with a hands-on approach, able to dive deep into the RDMA stack and solve complex issues. • Proficiency in C/C++ and embedded systems programming. • Fast learner possessing the ability to learn complex concepts in a fast-paced environment. • A can-do attitude and high energy with excellent collaboration, and social skills. Ways to stand out from the crowd: • Background with data centers networking & storage workloads (advantage). • Familiar with RDMA, InfiniBand, or Ethernet technologies • Experience designing or tuning congestion control, flow control, or loss recovery mechanisms in high-performance networks.

The NVIDIA Networking Diagnostics team is seeking a highly motivated and experienced engineer. This person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (HPC) clusters across the world. We are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware. What you'll be doing: • Design & Implement: Architect and develop high-performance diagnostic tools and frameworks using Python, tailored for NVIDIA’s latest networking platforms. • Performance Optimization: Drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and real-time monitoring without latency. • System Diagnostics: Take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics. • Collaborative Problem Solving: Partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach. • Autonomous Execution: Own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments. What we need to see: • B.Sc or equivalent experience in Computer Engineering, Computer Science, Electrical Engineering, or a related field. • 5+ years of hands-on experience in the software development lifecycle, with a proven track record in performance-critical systems. • Python Mastery: Advanced programming skills in Python, with a focus on writing optimized, efficient, and scalable code for hardware interfacing. • Networking & HW Background: Solid understanding of networking protocols (TCP/IP, InfiniBand, or Ethernet) and hardware-level interaction. • Linux Expertise: Strong familiarity with Linux environments, associated debugging tools, and system-level performance tuning. • Strong analytical and debugging skills. • A highly collaborative great teammate who is also self-motivated, well-organized, and capable of working independently in a fast paced environment. Ways to stand out from the crowd: • Performance Tooling: Experience with performance profiling, optimization, and low-level hardware communication (e.g., PCIe, I2C). • Low-Level Knowledge: Background in C/C++, RT embedded development, or driver development within a Linux environment. • Technical Leadership: Experience leading technical projects or mentoring team members in a dynamic setting. • Problem Solving: Confirmed experience in root-causing complex system-level issues and solving customer-facing hardware challenges. At NVIDIA, we value diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We provide reasonable accommodations to ensure all individuals can participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Join us and be part of a team that's pushing the boundaries of technology and making a real impact in the world.

We are looking for an excellent Senior Firmware Engineer to join the Firmware team. The NVIDIA Firmware team develops groundbreaking networking features for cloud, HPC and storage. We drive the data growth of the world’s biggest companies. With many hardworking engineers around the globe, the work environment is complex, results-oriented and fast paced. What you will be doing: • Collaborate across software, hardware and architecture teams to define, plan and deliver on commitments, following all the way through the development process from design, development, chip bringup to productization. • Multiple opportunities to collaborate and communicate effectively with teams from all around the globe. • Heavily involved with the early modeling and simulation required to produce our outstanding products. • Implement new features for NVIDIA NIC, Switch and GPU firmware. • Work with multiple processors that running the same code. • Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment. • Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship. • You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed. What we need to see: • B.Sc. in Computer Science/Engineering or equivalent experience • 5+ years of professional experience • Strong C/C++ and OOP capabilities • Excellent understanding of data structures and algorithms fundamentals • Scripting abilities (Python, Bash) • Strong analytical, debugging and problem solving skills • Motivated and independent with strong social skills • Prior firmware design and verification experience Ways to stand out from the crowd: • Background in simulation development or real-time programming (RTOS) • Experience in Firmware boot and security flows • Experience in x86 assembly and knowledge of the PC architecture • Knowledge of peripheral, network, and storage protocols • Experience with Agile methods NVIDIA’s invention of the GPU fuelled the PC gaming market. The company’s groundbreaking work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others. In 2020, NVIDIA acquired Mellanox, a leading supplier of end-to-end Ethernet and InfiniBand and services for servers, storage, and hyper-converged infrastructure. Mellanox intelligent interconnect solutions increase data center efficiency by providing the highest throughput and lowest latency, delivering data faster to applications and unlocking system performance. 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 in the world working for us. If you're creative and autonomous, we want to hear from you!

AI factories are only as good as the software that runs them. NVIDIA’s DSX OS turns GPU infrastructure into a shared, multi-tenant platform for AI teams, providing scheduling, orchestration, serving, and observability for AI workloads at data-center scale—from training and inference to reinforcement learning and agentic AI. The DSX OS Platform Software group builds that layer through projects such as KAI-Scheduler, Snapshot, Grove, and Run:ai. Our work ships as open source and upstream contributions across the cloud-native and AI serving ecosystems. We focus on performance, reliability at scale, and giving users the insight they need to understand and improve how their workloads run. We are looking for highly skilled software engineers to help shape the future of AI infrastructure. As a Senior Software Engineer in the team, you will design and build scalable, high-performance systems, tackle complex distributed-systems problems, and collaborate with experts across NVIDIA and the broader community to support the next generation of AI workloads. What you’ll be doing: • Designing and developing open source platform components with a strong focus on performance, reliability, and scalability. • Building and optimizing Kubernetes-native systems: controllers, operators, schedulers, and APIs that orchestrate GPU workloads at scale. • Contributing upstream — designing in public, writing proposals, reviewing community code, and engaging with users and maintainers of the projects we work on. • Collaborating closely with architects, product managers, and partner teams across NVIDIA to deliver impactful solutions. • Writing clean, maintainable, and testable code in Go. • Conducting code and design reviews to uphold high-quality standards, and mentoring team members. What we need to see: • B.Sc. in Computer Science or a related field or equivalent experience. • 8+ years of experience in backend software development, including system design and architecture. • Proficiency in at least one backend programming language. • Deep familiarity with Kubernetes and the cloud-native ecosystem. • Demonstrated ability to solve complex technical challenges and deliver high-quality solutions. Ways to stand out from the crowd: • Expertise in Kubernetes internals and advanced cloud-native technologies. • Maintain or contribute to OSS projects, and experience working in a public development process. • Familiarity with AI inference workloads, serving frameworks, and performance optimization. • Proficiency in Linux, with knowledge in networking, security, storage, and virtualization.

We are now looking for a Senior HPC Site Reliability Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIA’s strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized. What you will be doing: • Provide leadership in the design and implementation of our large-scale compute cloud that enables the world's top chip modelers, designers, and deep learning experts to invent groundbreaking technology. • Identify architectural changes or completely innovative approaches in our cloud architecture and design. • Help with strategic challenges we encounter, including: effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and planning for multi-year growth and scaling across our global computing environment! What we need to see: • B.sc in Computer Science, Electrical Engineering or related field or equivalent experience • 8+ years of experience designing and operating large scale compute infrastructure. • Experience with job schedulers such as IBM/Platform LSF, SGE, SLURM, Marathon, Chronos. • Solid understanding of cluster configuration managements tools – Ansible, Puppet, Chef, Salt. • Good experience providing compute services using a public cloud (AWS, Azure, Google Cloud) • Strong script-writing skills: Python, Bash, Perl • Knowledge of and/or experience deploying PaaS microservices – Docker, Docker Swarm, Kubernetes • Understanding of fast distributed and network attached storage solutions and Linux file systems, ability to recommend and implement solutions to improve OS performance and reliability. Ways to stand out from the crowd: • Linux certification from a well-known vendor - RedHat, Oracle, etc. • Prior experience managing large-scale Kubernetes deployment in production. • Strong skills in modern container networking and storage architecture.

NVIDIA is looking for a Senior HPC AI Cluster Engineer to join the Networking clusters solutions HPC/AI Infrastructure team. We are building supercomputers and AI clusters based on groundbreaking technologies. We are looking for a system administrator to be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. Does this sound like you? If so, we would love to hear from you! What you will be doing: • Deploy, manage and maintain large scale HPC/AI clusters • Managing Linux job/workload schedules and orchestration tools • Support and maintain continuous integration and delivery pipelines • Troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level • Supporting Research & Development activities and engaging in POCs/POVs for future improvements What we need to see: • Bachelor's Degree in Computer Science, Engineering, or a related field; or equivalent experience • 5+ years of experience • Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software • Experience with job scheduling workloads and orchestration tools such as Slurm, K8s • Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalls, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc. • Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies. • Python programming and bash scripting experience, automation and configuration management tools such as Jenkins, Ansible, Gitops • Knowledge of Networking Protocols like InfiniBand, Ethernet • Experience with virtual systems (for example VMware, Hyper-V, KVM) • Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud) Ways to stand out from the crowd: • Knowledge of CPU and/or GPU architecture • Knowledge of Kubernetes, container related microservice technologies • Experience with GPU-focused hardware/software (DGX, Cuda) • Background with RDMA (InfiniBand or RoCE) fabrics NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. We have a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all #LI-Hybrid

NVIDIA is looking for an excellent Firmware Design Team Lead for NVIDIA FW PHY Group. The person will closely work with NVIDIA FW development, architecture, chip design teams and gain deep understanding of NVIDIA's Networking products and technologies. We have some of the most forward-thinking and hardworking 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 chip design team in the industry! What you’ll be doing: • Lead PHY NIC team • Scrum planning and management • Work closely with the architecture, HW, and SW design teams • Define and plan release deliveries • Debug and screen HW/FW/SW issues • Take an active part in SW development phases • Lead data-driven discussions about the product functionality and areas for improvement What we need to see: • B.Sc. or M.Sc. in Electrical or Computer Engineering • 8+ years of relevant experience • 3+ years of team leading • Proficient programming in C • Debugging experience and ability to investigate and triage difficult problems in embedded FW • Experience with developing the physical layer of communication protocols • Good communication skills and the ability to work with people across several countries • Excellent English verbal and written communication skills • Good understanding of analog, mixed-signal circuit operation Ways to stand out from the crowd: • PHY FW experience • Good understanding of SerDes operation • Knowledgeable of Hardware/Software Development Process • Strong collaborative and interpersonal skills, with an ability to successfully guide and influence We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 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. #LI-Hybrid

NVIDIA is looking for an outstanding engineer to join the Networking Software Cross DevOps team. The position is part of a team that supports sophisticated systems and integrations, maintains proprietary, open source and in-house tools, with the strive to improve development workflows and overall efficiency. NVIDIA is one of a kind company, crafting the future of computing and challenging the existing conventions. With your help we would forge the next generation of compute infrastructure multiplying the power of the CPU, GPU and DPU with the groundbreaking networking technology for the age of AI. What you’ll be doing: • Develop DevOps tools using NVIDIA, proprietary and open source technologies to help build better CI/CD workflows across NVIDIA. • Craft efficiency and usability improvements across NVIDIA product development environments to streamline release pipelines and processes across the company. • Be in the critical path of supporting hundreds of developers as well as intimately understanding the values of predictability, automation and reliability. • Design and build sophisticated automations and AI powered applications. What we need to see: • Bachelor's/Master’s degree in computer science or computer engineering or equivalent program • 5+ years of proven experience • Expert development ability in at least one scripting language (e.g. Python, Groovy or similar) • Profound understanding of the Linux operating system. • Deep understanding of containerization and cloud technologies architecture. • Outstanding problem-solving and critical thinking abilities. • Ability to self-manage, lead technically, and communicate effectively. Ways to stand out from the crowd: • Expertise in version control systems (e.g. Git, GitLab, GitHub, Gerrit) • Expertise with Jenkins or similar. • Strong interests towards groundbreaking technologies • Ability to take initiatives and drive them across multiple functional teams. • Familiarity with CSPs infrastructure and tooling. 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 in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is hiring a Senior Physical Verification Engineer to lead signoff-quality verification for advanced silicon programs. You will drive physical verification strategy and closure for complex designs, working across implementation, methodology, and signoff teams to achieve tapeout readiness. The role requires strong technical ownership, structured debug, and the ability to scale best practices across multiple programs. This is a great match for an engineer who wants to combine technical depth with broad project impact. What you’ll be doing: • Own physical verification closure for major blocks or full-chip designs through tapeout. • Lead debugging of complex DRC, LVS, and reliability-related issues and drive high-quality resolution. • Define verification check plans, signoff criteria, and closure priorities with cross-functional teams. • Partner with physical design, custom design, and CAD teams to improve quality and turnaround. • Drive automation, methodology improvements, and best practices for scalable PV execution. • Review results, coach team members, and help reduce repeated classes of violations. What we need to see: • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or equivalent experience. • 5+ years of experience in physical verification, backend implementation, or ASIC signoff. • Deep knowledge of DRC, LVS, physical signoff methodology, and tapeout flows. • Strong experience with industry-standard physical verification tools and foundry rule decks. • Proven ability to debug and close complex verification issues on large designs. • Strong scripting and automation skills. • Excellent communication and cross-team execution skills. Ways to stand out from the crowd: • Experience owning full-chip PV signoff at advanced nodes. • Familiarity with reliability, density, fill, ERC, or other manufacturing-related signoff checks. • Experience leading methodology improvements across teams. We are committed to fostering 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, 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 is building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them. Our team’s mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI. As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure. What you'll be doing • Design, implement, and upstream new capabilities for Kubernetes and CNCF projects. • Collaborate with engineering teams across NVIDIA to identify AI infrastructure challenges and solve them through upstream innovation. • Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities. • Participate in architecture discussions, API design, technical proposals, and code reviews. • Build reliable, scalable infrastructure software for next-generation AI workloads. • Write clear technical documentation and design proposals. What we need to see • B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience. • 5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software. • Deep understanding of Kubernetes and the cloud-native ecosystem. • Experience extending, building, or contributing to Kubernetes-based solutions. • Strong communication skills and the ability to collaborate across engineering teams and open-source communities. • Curiosity, adaptability, and an interest in learning AI infrastructure. Ways to stand out from the crowd • Active contributor to Kubernetes, CNCF, or other open-source infrastructure projects. • Leadership experience in open-source communities, such as maintainer, reviewer, approver, SIG/WG leadership, or similar roles. • Experience designing Kubernetes APIs, authoring KEPs, or driving community proposals through upstream processes. • Experience with Kubernetes scheduling, networking, Gateway API, workload APIs, or other core Kubernetes subsystems. • Understanding of AI infrastructure, including inference systems, GPU scheduling, distributed serving, or LLM infrastructure. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking engineers in the industry solving the hardest infrastructure problems at global scale. If you're excited about building the future of Kubernetes through open source and enabling the next generation of AI infrastructure, we'd love to hear from you.

What if your Python automation caught a critical ASIC bug before the physical silicon was even manufactured? At NVIDIA, our simulation platforms make that happen every release cycle! We are the System Ethernet QA Team at NVIDIA's R&D center, responsible for the testing and qualification of virtual networking silicon (SimX) and software—from L2 forwarding and L3 routing to overlays, QoS, and security. With SimX, developers and QA engineers get hardware-free, early access to the ASIC for better debugging. We are looking for a Senior QA Software Engineer who combines network protocol expertise with strong Python automation skills. Does debugging a BGP EVPN route leak excite you as much as refactoring a test framework? Then we should talk! What you'll be doing: We don't just complete checklists; we collaborate closely with R&D to lead the quality of new features from design to deployment. In this role, we: • Review architectural designs and requirements for new features introduced to the product • Drive the design, development, and execution of tests across functional, performance, and security scopes as part of SW GA and update releases • Develop Python automation suites built on clean OOP principles • Chase down defects and validate fixes until we fully resolve the root cause • Leverage the SimX platform to validate code and debug the ASIC long before hardware arrives What We Need to See: • Combined network engineering depth with thorough software habits • 5+ years of hands-on QA or networking experience, backed by CCNP-equivalent protocol knowledge: L2 (VLAN, STP), L3 (BGP, OSPF), EVPN, VXLAN, and advanced features like PFC, ECN, RoCE, and QoS • Production-quality Python engineering—specifically, strong OOP design and hands-on experience with Pytest • Deep Linux proficiency (at an LPIC-1 or LPIC-2 level) to navigate system internals, analyze logs, and debug effectively • Clear verbal and written communication, with professional proficiency in written and spoken English • B.Sc. or or B.A. or equivalent experience in Computer Science, Electrical Engineering, or a similar background Ways to stand out from the crowd: • Experience with Docker and traffic generation tools (Ixia, TRex, Scapy) • Hands-on experience integrating tests into CI/CD pipelines (Jenkins, GitLab CI) • Working knowledge of virtualization platforms (KVM, VMware)

NVIDIA's Switch ASIC group is seeking a top-tier ASIC technical manager to lead the development of our next-generation ASICs. Join us in shaping the future of technology! As an ASIC Project Lead, you will manage the pre-silicon development of NVIDIA's most advanced and complex switch ASICs — from concept to tape-out — and drive the chip through power-on and qualification to production release. You will collaborate with a cross-disciplinary team, interacting with unit-level ASIC, Physical Design, CAD, Package Design, Firmware & Software, DFT, System Design, Analog Design, and other specialized teams. What you'll be doing: • Development Management: Lead the ASIC development from concept and architecture stages through micro-architecture, design, verification, and physical design until tape-out. • Post-Silicon Execution: Drive chip power-on, bring-up, and qualification to production release. • Execution Plans: Define and implement execution plans in collaboration with cross-discipline leaders in unit-level, full-chip, physical design, and firmware/software emulation. • Roadmap Definition: Contribute to the definition of NVIDIA's switch ASIC roadmap. What we need to see: • BS or MS in Computer or Electrical Engineering, or equivalent experience. • 10+ overall years of experience in chip design. • 5+ years of chip design/verification management experience as a second- or third-level manager, leading organizations of 50+ engineers. • Proficiency in RTL design (Verilog), verification (UVM, SystemVerilog), System-On-Chip design/integration flow, and design automation. • Strong system view with the ability to collaborate across multiple interfaces. • Strong analytical and problem-solving skills. • Excellent communication and teamwork abilities. • Experience in synthesis and physical design is a plus.

KAI-Scheduler is an open-source CNCF project focused on delivering the best scheduling experience for AI workloads on Kubernetes. Adopted by AI frontier labs, leading enterprises, and some of the largest AI infrastructure deployments in the world, KAI helps organizations efficiently run AI at scale. KAI is designed to support any AI infrastructure—from the latest GPU and networking technologies to future hardware generations—while maximizing performance, utilization, and scalability. As a Senior Software Engineer for KAI, you will help build the future of AI scheduling in the Kubernetes ecosystem, working on challenging problems spanning workload scheduling, Kubernetes internals, and large-scale AI infrastructure. What you’ll be doing: • Develop clean, maintainable, and well-tested software in Go. • Design and implement scalability improvements for KAI, helping it operates efficiently in massive-scale deployments (thousands of nodes) while addressing Kubernetes scaling constraints and bottlenecks. • Apply strong algorithmic thinking to solve complex AI workload scheduling and placement challenges, balancing performance, fairness, cluster utilization, topology constraints, and scalability. • Conduct code and design reviews to uphold high-quality standards and mentor team members. • Work closely with contributors, users, and customers, helping translate feedback from production deployments into product and engineering improvements. • Collaborate with related upstream projects (schedulers, AI frameworks, cluster autoscalers, Kubernetes SIGs/WGs, etc.) and contribute to community and ecosystem discussions. What we need to see: • B.Sc. or M.Sc. in Computer Science or a related field or equivalent experience • 8+ years of experience in backend software development, including system design and architecture • 4+ years of advanced Kubernetes development experience, including designing and implementing CRDs and controllers, with deep expertise in Kubernetes internals, networking, storage, and cluster architecture. • Strong algorithmic skills with experience tackling complex optimization and distributed systems challenges. • Strong technical skills and a proven ability to collaborate with and mentor other engineers. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. 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 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! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software. Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing development related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products. What you'll be doing: • Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to Networking/switching products. • Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products. • Take ownership and drive customer issues with Ethernet or InfiniBand switch network deployments from inception to resolution. • Bring independent analysis, communication, and problem-solving to customer experience. • Collaborate with engineering to document, recreate and solve issues. What we need to see: • BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). • 5+ years system software development and troubleshooting experience, ideally with some customer facing. • Experience developing with Python, C and C++ in kernel and/or application space and/or embedded software. • Very good familiarity with Linux (tools, utilities, kernel functionality). Hands-on experience with containers and virtualization technologies. • Proven ability to deeply analyze IPv4, IPv6, Layer 2 switching, TCP/IP and routing networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF). • Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented. Ways to stand out from the crowd: • Experience in solving problems in large-scale network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN). • Configuration and operational expertise with network switch/router platforms (i.e. IOS, JunOS, EOS). • Experience with SRv6 technology, HPC, low-latency systems and performance tuning. • Contributions to networking related open-source projects such as Free Range Routing (FRR) and/or Bird. • Experience with AI coding tools, AI agents, etc.

We are now looking for a Solution Architect - Deep Learning based in Israel. The individual will collaborate with brand-new Agentic and Physical AI tools alongside Machine learning, Deep Learning, and Data analytics to improve workflows and develop groundbreaking solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you! What You'll Be Doing: • Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on NVIDIA technology. • Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications. • Be an internal champion for Deep Learning and Data Science among the NVIDIA technical community. • Develop demo solutions and showcase to the AI ecosystem. What We Need To See: • B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience • 5+ years of experience in software development or extensive data analytics, CUDA experience highly desirable. • Experience working with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, Triton • Proven Exposure to GPU technology and CUDA programming • Demonstrable experience in strategy, research, communications. • Capable of working in a constantly evolving environment without losing focus. • Committed with strong analytical and problem solving skills. • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects. • Direct experience participating in communities (expertly or as highly engaged developer). Ways To Stand Out From The Crowd: • Technical knowledge of developer digital platforms and their trends. • Experienced working with containers, Kubernetes and MLoPS tools • Exposure to C, C++ and Python. • Research background. • Good presentation skills #deeplearning

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. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA’s Networking AI Platforms Security group is redefining silicon and networking security for next-generation, high-performance infrastructure. We are seeking a Senior Switch Silicon Security Architect to define end-to-end security across switch silicon, firmware, networking protocols, and management stacks. Working with architecture, engineering, and product teams, this role will shape security from early design through validation, manufacturing, and deployment. What you'll be doing: • Research, design, and drive the implementation of hardware and software security architectures for switch platforms that meet internal requirements, customer needs, and industry standards. • Develop threat models and define end-to-end security architectures for hyperscale networking solutions spanning silicon, firmware, high-performance networking protocols, and management stacks. • Partner across NVIDIA with hardware, software, research, and product teams to shape the strategic direction of switch silicon and fabric-level security. • Define and drive multi-generation security roadmaps for switch silicon, networking protocols, and fabric-level solutions. • Engage directly with customers to understand their security requirements and translate them into switch silicon and system architectures that address both component and solution-level needs. • Represent NVIDIA in industry standards bodies and collaborate with external partners to shape emerging security standards and drive interoperability across silicon and networking ecosystems. What we need to see: • B.Sc., M.Sc., or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience. • 7+ years of experience in silicon security, SoC architecture, embedded systems security, or a related field. • Proven hands-on experience architecting and implementing hardware roots of trust, secure boot, attestation, secure lifecycle and debug mechanisms, and key provisioning. • Strong foundation in applied cryptography at scale, including hardware trade-offs, PKI, key and identity management, post-quantum cryptography, and encryption technologies. • Hands-on experience architecting secure hardware–firmware interfaces for SoCs and embedded devices. • Deep understanding of high-performance networking protocols and their end-to-end security implications. • Strong communication and influencing skills, with a proven ability to drive initiatives in a fast-paced organization. Ways to stand out from the crowd: • Experience influencing industry security standards or collaborating with cloud customers and external partners on hardware and end-to-end networking security architectures. • A proven track record of taking innovative security technologies from research and architecture through implementation and deployment in production silicon. • Deep expertise in securing high-performance networking protocols and fabrics, including Ethernet, InfiniBand, and NVLink, with a strong understanding of the switch’s role in end-to-end confidential computing and trusted execution environment architectures. 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 forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. NVIDIA is committed to fostering 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, veteran status, disability status or any other characteristic protected by law. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

NVIDIA is looking for best-in-class Physical Design Engineers 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: • Physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance. • Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems. • Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification. • Taking part inflows development. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering or equivalent experience. • 2+ years of relevant experience. • Proven experience in RTL2GDS flows and methodologies. • Knowledge in physical design flows and methodologies (PNR, STA, physical verification). • Deep understanding of all aspects of Physical construction and Integration. • Knowledge in Physical Design Verification methodology LVS/DRC. • Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.). • Great teammate. 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 Engineers 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: • Perform advanced AI Static Timing Analysis (STA) for complex chiplet and full chip level. • AI use for timing optimization and data analysis in STA and PnR. • Running and build STA tools for anlyaze and debug timing. • Use traditional STA tools like 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./ M.SC. in Electrical Engineering. • At least 5+ years of hands-on STA experience. • Experience in Prime Time and signoff methodologies. • A great teammate who thrives in a collaborative environment. • AI tools orientation or alternatively a desire to learn. Ways to stand out from the crowd: • Agentic Frameworks. • AI prompting experience. • Experience in Linux environments. • TCL, Python, shell scripting abilities. • Experience with data collection and analysis. 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!

We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works. We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play. What you'll be doing: • Developing a highly optimized inference framework • Running on the world’s largest supercomputers and data centers. • The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features. What we need to see: • B.Sc. or equivalent experience in Computer Science or Software Engineering • 5 years’ experience in modern C++ / C / Rust development • 3 years’ experience in Linux environment and familiarity with development tools • Deep knowledge of the TCP/IP network stack • Understanding of computer architecture and operating systems concepts Ways to stand out from the crowd: • Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning) • Experience in programming CUDA kernels is an advantage • Familiarity with ML frameworks and LLMs • Background in parallel programming / high-performance computing / RDMA technology At NVIDIA, we are passionate about supercomputing and powerful ground-breaking technologies. Our products span many areas, such as: high-performance computing (HPC), Machine Learning, cloud services, storage and more - and we've only scratched the surface of what can be accomplished. We need hardworking and creative people to help us seek some of these outstanding opportunities. 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 smartest engineers 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 passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our 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 leading the way in groundbreaking 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. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is now seeking a Strategic Sourcing Senior Manager to join our Global Corporate Indirect Procurement team, headquartered in Santa Clara, CA to support growth in NVIDIA’s Real Estate and Data Center portfolio. This position will lead procurement efforts and supplier relationships for Real Estate and Data Center Construction critical to the success of the company, focusing on delivering optimal solutions, driving cost savings and improving overall commercial terms. Responsibilities for this position include tenant improvement and ground-up construction for US and international construction sourcing projects. What you’ll be doing: • Work with the key internal partners (Project Management, Legal, Finance and Engineering) to assess opportunities for and accomplish cost savings/improved contract terms. • Support the objectives of the Real Estate and DC MEP Engineering & Construction teams to achieve the overall mission of Nvidia. • For each spend category lead efforts to develop/be responsible for a category plan, perform market research to identify viable suppliers and establish a scalable supply base to support NVIDIA’s anticipated growth. • Lead sourcing activities, including RFXs and negotiate construction-related contracts (e.g. general contractors, MEP design-build, engineering, architects, development managers and cost consultants). • Implement sourcing process project management from start to end, including regular status updates to internal partners. • Deliver results with a strong commitment to quality, ethics, and customer-focused delivery model. • Identify areas for process/toolset improvement and develop/implement strategic plans to increase efficiency and productivity and supervise performance to ensure objectives are being met. What we need to see: • Bachelor’s degree required or equivalent experience. • 8+ years of strategic sourcing experience, with a proven track record of leading large-scale capital expenditure (CapEx) construction programs in a fast-paced environment. • Proven ability to work effectively with various collaborators to meet demanding project schedules and lead negotiation teams for complex construction and development contracts. • Expert in procurement for Real Estate Construction contracts, focusing on Design-Build and Cost + Fixed Fee % with GMP. • Skilled negotiator able to achieve favorable contractual terms and market competitive commercial rates. • Experience in qualifying and developing a supply base of qualified construction contractors in partnership with internal business partners. • Business acumen to make informed decisions in an environment of incomplete data and quickly changing plans and priorities. • Experience with project management and procurement tools (e.g. e-RFx, Contract Lifecycle Management) in the completion of sourcing projects. • Excellent communication skills giving presentations to senior management. • Experience in managing large-scale, complex construction procurement projects, preferably within a global organization or supporting multi-national collaborators. Ways to stand out from the crowd: • Master’s or other advanced degree • Expert contract negotiation skills • Experience with Colo and CSP agreements is highly desirable. • Detailed technical and supply base knowledge of latest rack cooling systems and MEP equipment for next generation data centers. • Experience in providing construction procurement support for campus development. 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 people in the world working for us, and due to outstanding growth, our Finance teams are rapidly growing. If you're creative and autonomous with a real passion for technology, we want to hear from you.