Nvidia

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. 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. We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What You Will Be Doing: • Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. • Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. • Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. • Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. • Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuously improve reliability and efficiency. • Build and maintain runbooks, standard operating procedures, and comprehensive documentation for storage services and automation. • Analyze capacity and usage trends, perform forecasting, and recommend scaling or optimization strategies to support business growth. • Collaborate closely with SRE, infrastructure, networking, and application teams in a follow‑the‑sun model to deliver consistent, high‑quality service. • Mentor junior engineers, share best practices, and help drive adoption of SRE principles across the team. What We Need to See: • 12+ years of experience in Site Reliability, DevOps, or Infrastructure Engineering, with significant focus on storage systems. • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field or equivalent practical experience. • Strong hands‑on experience with design, deployment, and operations of enterprise‑grade NAS, SAN, and/or Object Storage platforms. • Solid understanding of SRE concepts (SLOs/SLIs, error budgets, incident management, observability, postmortems). • Proficiency with Infrastructure as Code and configuration management tools (e.g., Terraform, Ansible, Puppet, SaltStack) and source control systems. • Experience building and operating highly available, scalable infrastructure, including automation for provisioning, monitoring, and remediation. • Experience with container and virtualization platforms (e.g., Docker, Kubernetes, hypervisors) and modern CI/CD and version control tools. • Strong scripting or programming skills (e.g., Python, Go, Shell) to build tools, automate workflows, and integrate systems. • Excellent communication and collaboration skills, with the ability to work effectively across distributed and cross‑functional teams. Ways to Stand Out from the Crowd: • Experience with storage for high‑performance computing, AI/ML workloads, or large‑scale data analytics. • Proven ability to debug complex, distributed systems and storage performance issues. • History of driving reliability improvements through data‑driven analysis and automation. • Experience leading technical initiatives, mentoring engineers, or acting as a technical lead on critical projects. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and motivated, we want to hear from you!

Are you a person who likes to work in a fast paced organization? For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass personal computer games, movie production, product design, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people harmonize with technology, and there has never been a more exciting time to join our excellent team. NVIDIA is now passionate about innovation at the intersection of visual processing, high performance computing, and artificial intelligence. Our data centers, and the thousands of servers installed in them, are the foundation upon which our creative products and services are delivered. Our customer base consists of hundreds of deeply intelligent engineers who continually provide us with complex problems to be solved. We are looking for a highly motivated Data Center Engineer to join our team. Having depth and breadth knowledge of working in data center facilities in a large-scale distributed environment is a strength you'll need. You should have deep knowledge and experience in at least one of the following core areas: Project Management, Hardware Operations, Network Operations or Data Center Operations. What you'll be doing: • Act as technical liaison for our technical teams. • Project manage highly impactful large and small scale data center and lab projects. • Participate in the installation, monitoring, maintenance, support, and optimization of all production server hardware. • Contribute to the development of the global DC knowledge base • Lead teams to deploy new data center infrastructure, deliver server upgrades, integration, rebuild and other projects as required • Build plans to optimize power, cooling and network resources • Inventing the forecast to efficiently match supply to demand. Predict data center growth and scaling issues before they occur and implement solutions. You will acquire new facilities and optimize existing ones to support the business growth. • You will hunt for and resolve issues as well as analyze data looking for trends and systemic issues. Implement process improvements and develop a cutting edge operational environment. What we need to see: • 5+ years of experience in large-scale data center hardware deployments, building data centers and directly leading data center relocation projects. • Technical certification and/or relevant work experience. • Ability to understand internal customer problem and provide technical solution in timely manner • Demonstrable ability to prioritize effectively, and experience with technical project management. • Understanding of Data Center infrastructure including power , cooling , structured cabling (copper, fiber ). • Experience in developing and reviewing MOP and SOPs, to minimize our operating risks. • Strong interpersonal skills and ability to communicate effectively with a diverse group of customers and staff. • Deep understanding of data center power and cooling (liquid ,air etc..) infrastructure, network and cabling infrastructure and root cause analysis skills. Ways to stand out of the crowd: • Knowledge of programming languages ( Python , SQL, Bash etc..) • Experience with Nautobot/Netbox , monitoring tools , Service Now and Inventory Management tools. • You're a self-starter with an attitude for growth, continuous learning, and constantly looking to improve the team and build strong business relationships • Attention to detail with superb interpersonal skills and the ability to effectively manage multiple priorities. • Theoretical and/or hands-on knowledge of liquid cooling infrastructure. 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 networking unit is a world-leader fast-growing company which supports the most powerful supercomputers in the world. We make outstanding artificial intelligence happen and accelerate Open-AI’s Chat-GPT, for example. We believe in our people and products and seek excellent people to join us! We're looking for a hardware architect for our NIC and DPU division. In this position, as part of a small (~15 employees) elite team, you will have the chance to define the architecture of NVIDIA’s next generation NIC and DPU products. Your role will be cross-disciplinary, working with software, ASIC design, verification, physical design and platform teams to improve performance and debug. What you'll be doing: • Learn and understand the NIC u/architecture thoroughly across all aspects and become a source of information for the design and verification engineers. • Define the next generation NVIDIA systems. Work closely with GPU and CPU teams for building the cut-edge systems. • Define the implementation of the most sophisticated features of our next products, balancing architecture requirements with backend, execution, and design considerations. • Understand our system requirements and help define the POR of our NIC and DPU product line. • Face the most challenging Full-Chip correctness and performance issues, which cannot be handled by the units’ designers as they require full cross-unit understanding of the chip. • Work closely with board and package design to understand the different design limitations: power, di/dt, temperature, signal-integrity etc. • Thoroughly understand SoC flows, PCIe, Ethernet, InfiniBand and NvLink protocols. What we need to see: • B.Sc./M.Sc in Electrical Engineering from a known university • Excellent grades • 5+ years of experience in ASIC design/uarch/arch/performance • At least 4 years of hands on experience in writing Verilog/VHDL or • Strong analytic capabilities, and passion for solving logical issues • Strong debug skills • Ability to drive complex activities involving many interfaces and teams • Good communications skill NVIDIA's architecture teams are among the most technically demanding in the industry. If you're a senior architect who has already started using AI — and wants to institutionalize that change across an entire organization — we want to hear from you.

We are looking for a best-in-class Senior Full-Chip Verification Engineer with a strong infrastructure mindset to join NVIDIA's Networking Silicon team. In this role, you will be responsible for the development and verification of our next-generation NICs at the system level, while also driving the evolution of the simulation infrastructure powering our verification flows. You will contribute to the architecture of high-speed communication devices by driving full-chip verification execution for the networking solutions powering the world's most advanced data centers, in a meaningful, growing environment where you make a huge impact in a technology-focused company. What you'll be doing: • Simulation Infrastructure & Acceleration: Identify bottlenecks in the verification flow and engineer creative solutions - building frameworks, optimizing regressions, and accelerating simulation throughput through innovative tooling • Multi-Language Development: Work across a diverse technology stack (SystemVerilog/UVM, Specman, Python, C/C++, scripting) - writing code and solving problems at every layer, from RTL testbenches to infrastructure utilities and automation. • System-Level Debug & Analysis: Gain a strong understanding of chip micro-architecture and features, investigate, debug, and resolve cross-block issues to guarantee feature correctness and compliance • AI-Enhanced Development: Accelerate development by leveraging cutting-edge AI coding tools and frameworks - applied to both verification and infrastructure challenges. • Cross-Team Collaboration: Work closely with multiple teams within organizations such as Architecture, u-arch, Firmware and all units inside the NIC What we need to see: • Electrical Engineering B.Sc. or Computer Engineering B.Sc. graduate with high scores or equivalent experience • 8+ years of experience in verification, HW simulation, or infrastructure development for silicon projects • Infrastructure mindset - a proven ability to enhance and scale the systems that drive verification: regression frameworks, simulation performance, tooling, and flow automation • Creativity and proactivity - an innovation mindset with a proactive approach to adopting new methodologies and coding tools to solve complex challenges • Strong debugging, problem-solving, and analytical skills • A team player with good communication and interpersonal skills Ways to stand out: • Experience leveraging AI tools for verification automation or infrastructure acceleration. • Experience working in multi-language environments

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: • You will be in charge of developing full-chip physical design methodologies, Physical Verification development and support through all the projects, Tapeout activities for implementation of networking chips and SOCs. • Work closely with Full Chip Layout owners and block owners, project managers to assure high quality and timely convergence. • Come up with unique and creative solutions to the state of the art FCL physical design problems that are needed for our chips. • We expect you to run, debug, and approve Physical Verification flows across multiple projects, ensuring strict adherence to our high standards. • Participating and developing flow and tool methodologies for fullchip, physical design verification across multiple projects. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience). • You should have at least 5+ years of hands-on Full-chip layout and Physical Verification experience, demonstrating your proven expertise. • A strong background in Physical Verification methodology, including DRC / LVS / ANT / ERC / DFM in advanced process nodes is necessary. • Proficiency using Python, Tcl, Shell, Make scripting. • Experience in Linux environments. • AI tools orientation or alternatively a desire to learn. • Familiarity with physical build EDA tools, including Synopsys (ICC2/FC) and Cadence (Innovus). • Familiarity with Physical Verification tools: Synopsys (ICV), Siemens (Calibre) • Self-motivation, attention to detail, and good interpersonal skills. Ways to stand out from the crowd: • Experience with data collection and analysis • Experience in methodology definition / flow owner of Full-chip / Place and Route • Great teammate. • Ownership, self-learning skills, and ability to work autonomously. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

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 is seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using NVIDIA’s Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed. What you’ll be doing: • Prototype end-to-end solutions to improve distributed training and disaggregated inference performance. • Analyze and optimize communication flows across application, transport, and network layers. • Develop system software spanning communication libraries, drivers, and firmware integrations. • Collaborate with hardware, firmware, and SDK teams to co-design network features. • Validate and integrate prototypes into NVIDIA’s AI infrastructure and products. What we need to see: • BSc/MSc/PhD in Computer Science or Electrical Engineering • 5+ years of relevant experience and/or knowledge • Deep understanding of networking and communication internals — NCCL, RDMA/RoCE, congestion control. • Hands-on experience with HW/SW/FW integration and low-level programming (C/C++, kernel, drivers). • Some background in distributed training systems (such as PyTorch DDP, Megatron-LM, DeepSpeed). Ways to stand out from the crowd: • Demonstrated innovation and leadership turning prototypes into impactful product features. • Experience with programmable data planes (P4, eBPF, DOCA SDK, or switch SDKs). • Familiarity with NIC firmware scheduling, in-network compute, or congestion management. • Contributions to open-source projects, academic papers, or performance benchmarking tools. • Strong background in AI factory architectures, distributed inference, or network telemetry. NVIDIA is known as one of the most sought-after employers globally. You’ll be part of a high-impact team that develops technologies shaping the future of AI networking and distributed computing. If you’re enthusiastic about crafting the future — we look forward to hearing from you!

NVIDIA is looking for an experienced DFT Engineer to join an exceptional team of DFT experts to develop the next generation DFT technologies. As a DFT engineer at the networking group at NVIDIA, you will participate in definition and implementation of our DFT technologies in various projects. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and sophisticated products, our DFT solutions are unique, innovative, and we are continuously improving and evolving the solutions to meet the challenging goals. What you'll be doing: • In this position, you will be responsible for defining, coding and integrating sophisticated DFT components into various projects and using state-of-the-art technologies. • As a member of our DFT design team, you will participate in defining various DFT features and improvements, write micro-architecture documents, code design blocks, integrate them into various projects, bring your design to silicon tape-out and silicon testing and production. • Strong collaboration with architects, other design teams, verification, back-end and production testing to accomplish your tasks. What we need to see: • B.Sc. in Electrical Engineering or Computer engineering or equivalent experience. • 10+ years of practical experience. • Exposure to rtl implementation and coding. • Familiarity with verification tools. • Familiarity with backend flows. • Strong debugging, problem solving and analytical skills. • Strong communication and social skills are required. • Ability to work in a geographically diverse team environment. • Self motivated, independent and target oriented. Ways to stand out from the crowd: • Prior Design, Verification experience. • Experience in working with back-end on area, power and timing closures. • Experience with CDC flows and tools. • Experience with silicon testing. • Cad tool development experience. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of developing the next generation technologies? If so, we want to hear from you. Come, join our DFT Team for a challenging and educational environment, where every individual has a significant contribution to our products and achievements!

NVIDIA is looking for an outstanding IT Engineer to join our Enterprise Security Team. This is a hands-on engineering role for someone who wants to build, automate, and operate the identity platforms that secure NVIDIA — and who is excited about using AI to make our infrastructure more visible, more stable, and easier for our users to work with. You will operate, automate, and maintain our Identity and Directory platforms, and implement the capabilities that move us toward a Zero Trust future. You will work day-to-day with IT, Cybersecurity, and business technologists to deliver on our IAM roadmap and keep our hybrid identity environment secure, simple, and stable. Do you want the opportunity to build an extraordinary user experience that delivers on both securing our company and enabling our company to move at the speed of light? What you'll be doing: • Be a key member of the Global Identity and Access Management (IAM) team, with a focus on Active Directory and Entra ID. • Operate and continuously improve our hybrid AD/Entra ID environment with a focus on security, simplicity, and stability — including upgrades, incidents, and third-party integrations. • Implement identity security capabilities that support NVIDIA's enterprise Zero Trust architecture, including SSO, conditional access, MFA, and privileged access. • Build automation and agentic workflows for identity lifecycle, access requests, directory hygiene, and service account governance — reducing manual toil and improving the end-user experience. • Implement identity and access controls for agentic and non-human identities (NHI) — service accounts, workload identities, machine credentials, and AI agents — covering provisioning, scoping, credential rotation, and lifecycle cleanup. • Apply AI tooling to improve infrastructure visibility and stability: telemetry, health checks, anomaly detection, and AI-assisted diagnostics that surface issues before users report them and give end users faster, self-service resolution. What we need to see: • B.Sc. or M.Sc. in Computer Science or related field, or equivalent professional experience, with 5+ years of hands-on Active Directory experience and 2+ years with Entra ID / Azure AD in a hybrid environment. • Solid understanding of core IAM concepts: single sign-on, multifactor authentication, conditional access, federation, privileged account management, secrets and password vaulting, and Zero Trust principles. • Hands-on scripting and automation skills in PowerShell or similar, plus practical experience using AI tools in day-to-day engineering work. • A strong security mentality, with the ability to quickly learn and adapt to new technologies. • Excellent interpersonal skills and hands-on experience collaborating with global teams.

We are seeking a Senior Deep Learning Researcher for an excellent opportunity! This role provides an outstanding opportunity to engage in groundbreaking innovation and contribute to advancing diffusion-based technologies. You will work with pioneering methodologies and tools, crafting solutions that push the boundaries of AI capabilities. Joining NVIDIA means being part of a phenomenal team renowned for its inventions, such as NVIDIA Cosmos, Llama-Nemotron, Sana, and contributing to impactful work that influences various applications. We offer a collaborative environment that fosters professional growth. You will have the opportunity to collaborate with some of the brightest minds in the field, both within NVIDIA's global network and with leading companies worldwide, making this role perfect for those passionate about advancing AI technology and eager to make a significant impact on the future of the field. What you'll be doing: • Invent and build ground-breaking techniques for efficient multi-modality model creation and publish the findings in leading journals and conferences. • Combine traditional diffusion technologies with the latest and greatest LLMs. • Contribute to NVIDIA's AI enterprise software to ensure robust and scalable solutions. • Collaborate with internal and external teams worldwide to drive research and development in multi-modal learning, using different professions and resources across the company. • Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications. What we need to see: • PhD. in Computer Science, Electrical Engineering, or a closely related field, or equivalent experience. • At least 3 years of relevant research experience • Publications in prestigious conferences and journals like NeurIPS, ICLR, and CVPR • In-depth understanding and active research experience in leading generative AI techniques, with a track record of contributing to advancements in this area • Extensive experience in image and video understanding, generation, and reasoning. Ways to stand out from the crowd: • High proficiency in programming and coding • Degree from a top-tier institution or equivalent experience in a world-class industrial research group • Substantial contributions to the multi-modality or diffusion forefront of research. • Experience in research fields of LLMs. Candidates should apply with a detailed CV, publication list, and brief research statement.

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 looking for extraordinary people like you to help us accelerate the next wave of artificial intelligence. The Advanced Research team has a need for a Principal Engineer in Supplier Engineering and Strategic Sourcing. This role involves activities related to the development of Automotive, NVIDIA’s Gaming, Shield, High Performance Compute, intelligent production systems, and other products. It emphasizes linking early proof of concepts and development to product applications. As part of a multi-functional team, your task would be to build suppliers eco-systems in support of all business segments including but not limited to Desktops, Servers, Automotive, AI factories and NVIDIA Shield products. Your excellent communication skills, strong sourcing engineering technical background with product and eco-system development knowledge which related to manufacturing processes, are meaningful. What You'll Be Doing: • Own the strategy and execution for vendor and collaborator engagement across all technology categories, ensuring the supply ecosystem never limits NVIDIA's pace of innovation. • Serve as the main technical and commercial link between NVIDIA's development groups and the global supplier ecosystem, translating complex technology requirements into actionable supply strategies. • Drive early supplier involvement in advanced technology programs, enabling co-development and co-investment that accelerates time-to-market and de-risks technology transitions. • Lead commercial and technical negotiations, structuring agreements including SOW, NRE investment models, capacity commitments, and long-term partnership frameworks. • Partner with Engineering, Research, Program Management, and Operations to provide supply feasibility input early in the development cycle. • Apply deep knowledge of emerging technology trends to identify strategic partnership opportunities and ensure NVIDIA has access to the right capabilities ahead of industry adoption. • Build supplier development programs that raise engineering maturity, process capability, and operational stability across NVIDIA's vendor base. • Lead executive-level supplier relationships and strategic business reviews, driving alignment on technology roadmaps, performance, and long-term direction. What we need to see: • 10+ years of relevant experience in Supplier Engineering & Strategic Sourcing • BSc. or MSc. in Industrial Engineering & Management • Ability to translate product needs from fundamental concepts through ecosystem considerations, ensuring optimized, cost-effective designs • End-to-end product coverage experience, including assessment of manufacturing and supply partners — with hands-on experience in volume manufacturing, working with overseas manufacturers, and leading external resources including component suppliers and manufacturing partners • Proven track record in leading supplier selection and qualification processes in partnership with engineering and research teams, including establishing and maintaining a resilient, strategically aligned Recommended Vendor List across relevant technology areas • Technical knowledge across electrical components, PCB, optical components, mechanical, and thermal domains • Proficiency with ERP and PLM systems, with demonstrated use of AI tools NVIDIA provides attractive compensation and an extensive benefits package. We have some of the most dedicated people in the world working for us and, due to outstanding growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

We are looking for a Chip Design DFT/Post Silicon Manager to develop the next generation DFT technologies. As a Chip Design DFT/Post Silicon Manager in the DFT team at NVIDIA, you will lead team that transfer our DFT technologies to post-silicon in various projects and support the enablement. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and complex products. Our DFT solutions are unique, innovative, and we are continuously looking for new and creative solutions to meet the challenging goals. What you’ll be doing: Define and develop characterization and validation techniques for post-silicon bring up and production test, spanning electrical, functional, and performance characterization. Working in close coordination with DFT and test engineering, yield, FW and other teams, lead methodology planning for future products and serve as the synchronization point between teams. Day to day, this means: • Driving alignment on tooling, flows, and coverage requirements ahead of tape-out and first silicon • Translating product requirements and silicon behavior into structured characterization plans with clear coverage targets, risk areas, and Product quality metrics (Test Time , Pattern count and so on). • Leading methodology transfer into execution — working with team managers to ensure tooling, methods, and engineers are in place for a smooth handoff • Identifying methodology gaps early in the program cycle and resolving them through cross-functional collaboration What we need to see: • B.Sc. in Electrical Engineering (or equivalent experience) • 8+ overall years of experience with DFT, IC silicon validation, product engineering, test engineering. • 2+ years of managerial experience. • Ability to work in a fast-paced, multifaceted work environment with a focus on technical excellence, innovative thinking, and strong analytical skills. • Ability to self-manage, show leadership, and possess good social skills. • Deep hands-on engineering background — this role leads, but is encouraged to be technically authoritative and roll up sleeves when needed. • Strong cross-functional communication skills; comfortable aligning with US-based teams across time zones and organizational boundaries. Ways to stand out from the crowd: • Experience in developing verification environments and random based verification for unit level and system level using verification tools (simulation tools, Verilog, debug tools like Simvision/Debussy/VCS). • Experience with Specman/UVM is a plus. • Good understanding of RTL design (Verilog). • Product Engineering experince. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of developing the next generation technologies? If so, we want to hear from you. Come, join our DFT verification Team for a challenging and educational environment, where every individual has a significant contribution to our products and achievements!

We’re currently seeking a Senior Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role. What you will be doing: • In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains. • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures. • Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community. • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA. What we need to see: • An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience). • You have 8+ years of relevant experience in software development or research work. • Programming fluency in C/C++ with a deep understanding of algorithms and software development. • A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. • Hands on experience doing low-level performance optimizations. • In-depth expertise with CPU and GPU architecture fundamentals. • Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills. Ways to stand out from the crowd: • Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc. • Excellent understanding of linear algebra. 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. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. 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. #deeplearning

NVIDIA is building some of the most sophisticated semiconductor platforms globally, powering breakthroughs in networking, AI infrastructure, and high-performance computing. Our NICs and Switches link the largest AI clusters worldwide. Powered by the AI revolution we are changing how hardware architecture work happens! We strive to define and implement this new agentic hardware architecture, and we are seeking an experienced architecture lead for our AI-for-Architecture team within the Networking Architecture group. You will define and promote intelligent architecture flows across our NIC and Switch architecture groups. You will develop the agents, tools, and processes that transform how architects explore design tradeoffs, and validate models and specifications. In this leadership role with org-wide scope, you will collaborate with an AI engineering team to develop flows from concept to production. You will also serve as the technical authority on what good AI architecture work means at NVIDIA. What You'll Be Doing: • Define the roadmap for AI-driven architecture flows — from data collection, modelling and micro-architecture agents that help architects explore feature options, to review and validation agents that set the standard for output quality. • Work with architects on tough problems, suggest and build agentic flows to address these problems and shorten the time to a good solution. • Partner with the AI engineering pod to translate architecture workflows into production agents, MCP integrations, and eval harnesses. • Act as the domain authority and quality judge: recognize what excellent architecture output looks like and verify that AI-assisted flows meet that bar. • Drive adoption: work with networking architects, run beta cycles, close feedback loops and facilitate widespread usage of our tools/methods. • Represent the team's technical direction to senior architecture and product leadership. What We Need to See: • B.A, M.Sc. or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience. • 6+ years in hardware, firmware, or system architecture — NIC, switch, DPU, CPU, or SoC. Experience with architectural workflows defining microarchitecture specs, performance models, or architecture decision documents, etc.. • Ability to understand and adopt agentic AI workflows and tools (Claude/Codex/Cursor). • Engineering committed to quality — for example, the ability to judge AI output quality for architecture tasks and suggest validation-fix strategies to improve it. • Strong interpersonal skills — explain AI flows for architects lacking AI engineering expertise, and distill hardware architecture trade-offs for engineers without architectural backgrounds. • Consistent track record driving adoption of new tools or processes across a technical organization. Ways to Stand Out from the Crowd: • Hands-on experience applying LLMs, agents, or prompt-plus-code pipelines to real engineering work. • Expertise with high-speed networking silicon — InfiniBand, Ethernet, switch fabric architecture, NIC/RDMA subsystems. • Familiarity with LLMs: transformer architecture (attention, MLP, MoE) and LLM training/inference parallelism (DP, PP, EP, TP). • Background defining and measuring engineering productivity metrics — making the impact or our work visible to leadership. • Track record shipping internal platform tools or developer-experience infrastructure at scale. NVIDIA's architecture teams are among the most technically demanding in the industry. If you're a senior architect who has already started using AI — and wants to institutionalize that change across an entire organization — we want to hear from you.

We are seeking a highly motivated Senior IC-System Architect for High Speed Networking Systems. To join our team of experts and help build the future of high-performance computing focusing. Our next-generation InfiniBand, NVL and Ethernet switches will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used in vast industries. You will work on some of the most groundbreaking technology as a IC-System Architect for High-Speed Networks at NVIDIA focusing on improving our ASIC solution. The products you'll develop will be coordinated in many groundbreaking compute clusters, and supercomputers. What you'll be doing: • Crafting and architecting the ASIC - System requirements for NVIDIA Systems focusing on ASIC yield improvements. • Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and hardware teams, to ensure the successful execution of the project optimizing High-speed networking system in the out of space environment. • Leading the development and implementation of the systems to ensure world-class performance, reliability and at scale high quality ASIC manufacturing. • Successfully implementing and managing projects to meet ambitious deadlines and performance targets. What we need to see: • BSc or MSc in Electrical Engineering or equivalent experience. • 8+ years of experience in Chip design, System and HW. • Deep understanding of how to build and integrate systems with various technology components. • Proficiency in advanced system-level Architecture. • Excellent communication skills to effectively work with diverse teams and collaborators. • Can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn sophisticated concepts in a fast-paced environment. • Possess strong managerial, problem solving and critical thinking skills. • Attention to details on design and high focus on design quality. NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

NVIDIA is looking for best-in-class Physical Design CAD Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you'll be doing: • You will be developing physical design, STA, Logic eq, Power Integrity flows and methodologies for implementation of networking chips and SOCs. • Work closely with block owners, full Chip STA engineers to assure high quality and timely convergence. • Come up with unique and creative solutions to the state of the art physical design problems that are needed for Our chips. • Additional responsibilities include participating and developing flow and tool methodologies for timing analysis and closure, power and noise analysis, IR-drop, EM and back-end verification across multiple projects. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience). • 2+ years of fulltime relevant experience in the areas listed below. • Proven experience and strong knowledge in key technical domains, including: Physical Design, Backend CAD (Computer-Aided Design), STA (Static Timing Analysis) and Timing closure methodologies. • Familiarity with industry-standard tools like PrimeTime (STA) and PrimePower (Power Estimation). • Self-motivation, attention to detail, and good written, verbal, and presentation skills are critical to success in this role. • Strong sense of ownership, self-learning skills, and ability to work both independently and collaboratively with internal and global teams Ways to stand out from the crowd: • Experience in Signoff domains: STA (PrimeTime), Power Estimation (PrimePower), Power Integrity (RedHawk), Formal eq. (Formality) • Knowledge in Tcl/Perl/Python • Versatile • Great teammate NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry! #LI-Hybrid

NVIDIA is looking for a passionate Firmware Engineer to join our NIC Firmware Core team. You will be joining a team whose primary mission is to work on innovative networking adapters technologies and take the success of the current and next NVIDIA networking devices to the next level using a wide range of platforms - C layer between HW and FW, C++ OOP verification environment and automation challenges. What you’ll be doing: • Take part in the design, development, testing, debugging, and optimization of many angles of the network adapters' core features • Collaborate with chip design, software, and architecture teams to define and craft legacy and new firmware flows • Improve our team methodologies What we need to see: • B.Sc. in Computer Science/ Computer Engineering / Electrical Engineering (or equivalent experience) • 2+ years of relevant experience • OOP/computer structure/operating system • Problem solver, independent and curious • Strong multi-disciplinary capabilities and ability to work with a wide interface of people – chip design, verification, FW, SW, and architecture • Ability to lead feature development and take full ownership of tasks from A to Z • Phenomenal teammate, strong interpersonal skills, and self-learning ability Ways to stand out from the crowd: • Knowledge in C++ and Embedded C programming • Experience partnering with software and arch teams • Knowledge in networking, Linux, and scripting languages • Experience with in-depth problems solving It’s not just technology, though! It is our people, some of the brightest in the world. At the center of NVIDIA's culture are our core values like innovation, perfection, determination, and teamwork, which guide us to be the best we can be. This makes NVIDIA one of the most innovative and dynamic places to work. We do our life's work here, and if you are creative and driven, we want to hear from you.

We are seeking a hands-on, results-focused Manufacturing & Production Security Specialist to join our ITPE (Interconnect Product Engineering) organization. You will own and drive cybersecurity standards across production environments and testing lifecycles, spanning networking product lines manufactured at internal and contract manufacturing sites. We develop a collaborative and inclusive work environment, where ideas are shared and innovation is encouraged. As the ITPE Security Specialist, you will collaborate with Infrastructure Architects and Test Engineering Developers to design, build, and implement a highly secure PKI environment and robust data paths. This role combines deep technical security implementation with governance spanning on-site and outsourced manufacturing locations, ensuring strict security compliance while enabling engineering velocity. What you’ll be doing: • Implement, automate, and maintain a robust and secure PKI infrastructure; build secure Key Provisioning and Code Signing workflows within ATE pipelines. • Own lifecycle management of digital certificates and cryptographic identities across all product families (LinkX, switches, NICs). • Partner with test developers to harden the Test Engineer Datapath, preventing data tampering or leakage. • Implement security baselines, endpoint protection, and AD Privilege Management across test stations and MES systems. • Define, enforce, and audit security policies across all internal and external production sites (Contract Manufacturers). • Implement network segmentation between corporate IT, engineering networks, and the manufacturing floor. • Own recurring security syncs and present security status updates to ITPE leadership. What we need to see: • B.Sc. in Computer Science, Electronic/Electrical Engineering, Cybersecurity, or equivalent experience. • At least 5 years of hands-on experience in a technical cybersecurity role (Infrastructure Security, OT/Industrial Security). • Strong practical understanding of PKI, digital certificates, encryption, TLS, and key management. • Experience with factory production flows, ATE data paths, or hardware production pipelines. • Hands-on experience with network segmentation, OS hardening (Windows/Linux), and secure access controls. • Proven track record of driving security projects end-to-end in sophisticated environments. • Ability to enforce compliance standards across third-party manufacturing sites. • Clear verbal and written communication in English. • Self-reliant, proactive, and highly motivated. Ways to stand out from the crowd: • Certifications: GICSP, CISSP, or specialized PKI/Crypto certifications. • Scripting skills (Python, Bash, PowerShell) for security automation. • Familiarity with OT/ICS security frameworks (NIST 800-82, IEC 62443). • Experience in PE, chip validation, or manufacturing test environments. • Familiarity with NVIDIA’s product security lifecycle or similar silicon vendor environment. At NVIDIA, we are dedicated to pushing technological boundaries and providing exceptional customer experiences. If you are ready to join a world-class team, 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) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking an experienced Senior Software Engineer to join our NIC Firmware Core team, with a special emphasis on simulation for network adaptors and verification infrastructure. You’ll be part of a forward-thinking team dedicated to advancing the tools and frameworks that are used to develop the cutting-edge networking adapter technologies. Your role will be to drive the success of NVIDIA's current and upcoming networking devices by working across various platforms, including C++ object-oriented simulation, verification frameworks and C layer interfacing hardware and firmware. What You’ll Be Doing: • Develop a network adapter simulator that will be used for both development and testing of pre-silicon networking features • Take part in implementing and assimilating frameworks for Design and Verification both for real-time and simulator environments • Addressing and solving automation and performance challenges • Collaborate with chip design, software, and architecture teams to define and craft legacy and new firmware flows What we need to see: • B.Sc./M.Sc. in Computer Science or Computer Engineering • 5+ years of proven experience with verification and testing methodologies • Good understanding of the Linux operating system and computer structure • Solid knowledge in C++ and Object-Oriented Programming • Strong multi-disciplinary capabilities and ability to work with wide entities – chip design, verification, FW, SW, and architecture • Ability to lead feature development and take full ownership of tasks from A to Z • Outstanding teammate, strong interpersonal skills, and self-learning ability Ways to stand out from the crowd: • Experience in simulator development for real-time systems • Background in Embedded C programming • Knowledge in networking protocols and scripting languages • Strong interests towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Our HW team in Israel is looking for an experienced System Engineer to join the Hardware Switch Group. The team leads the development of networking infrastructure for NVIDIA next-generation data centers focusing on accelerated performance while enabling optimized end to end GPU connectivity. What you'll be doing: • CPO (Co Package Optic) Switch System architecture and design from concept to mass production • Define the HW requirement, HW arch, board partition and lead electro-optic-mech concept. In addition - design/review HW aspects such as schematics, component selection, layout, opto-mechanics, DFM/T • Collaborate and integrate with all HW project fields: Board Design, Mechanics, Thermal, Production, Software/Firmware, RTL and more • The position consists of hands-on testing in lab environment for electrical and optical integration & validation, including problem solving while accompany production and qualification process What we need to see: • B.Sc. in Electrical Engineering (or equivalent experience) • 8+ years as a System/Hardware Engineer, experience in design and integration of complex HW projects execution • Hands-on lab and HW & SW Tools skills • Proven experience as technical leading multi-disciplinary projects • Comprehensive understanding of RTL implementations (CPLD/FPGA) • Excellent interpersonal relationship and demonstrated ability taking ownershi Ways to stand out from the crowd: • Experience in data-center switches products design and validation & verification for high volume manufacturing • Experience in optic system, design, debug and testing NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and 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 are looking for a creative and independent Test Engineer. Our high speed buses & network products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another. Today, we are increasingly known as the place for getting “End-to-End High-Speed Ethernet and InfiniBand Solutions” We're looking to grow our company and build our teams with smart people who can join us at the forefront of technological advancement. We need a creative individual who will help transfer Network Silicon ICs products (Switch, NIC, SmartNic) from design engineering to mass production. You will be exposed to various aspects of design, DFT and test of NVIDIA network IC products, and will be responsible for definition and development of tests from wafer level to final test of Network-ICs. In addition, your responsibilities will include working with overseas manufacturing teams to increase yields, test coverage and capacity, and reduce production costs. If you are passionate about enabling of the highest quality Network products that will change the world, we want to hear from you! What you'll be doing: • IC Test definition & development (including test/HW debug) • Designing and improving factory test plans (to improve coverage, time, cost, and yield) • Ensure scalable testing & manufacturing for high speed interfaces • Direct our local and overseas manufacturing teams to transition new products to factories What we need to see: • B.Sc. degree in Electrical Engineering • 2+ years of relevant experience • Good communication skills with diverse teams and functional groups • Multi-tasking capabilities • High self-learning skills • High execution quality standards Ways to stand out from the crowd: • Background with IC test development • Experience with UltraFlex or/and other IC testers NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are committed to fostering a diverse work environment and 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.