Jobs in Yokneam

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

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

NVIDIA is looking for a Hardware Engineer for our System Product Engineering group. The candidate will take full responsibility for networking systems’ product support engineering matters. The position requires an understanding of hardware, firmware/software, and manufacturing. The candidate will supervise Product engineering activities in a various CM ( contract manufacturing ) lines, working closely with groups across the networking organization: Hardware/Software/Firmware R&D, Architecture, Test Engineering, Quality & Reliability, and Operations groups. The candidate will take part in direct communications with NVIDIA internal and external teams. The position provides an opportunity to gain deep knowledge of NVIDIA networking systems and a system-level view of our solutions, along with working in a dynamic and positive environment. What you'll be doing: • Leading Cross-Organizational Task Forces: You will be responsible for managing and leading cross-functional teams to address quality events and failure modes in NVIDIA's networking products. This involves coordinating efforts from various departments, such as hardware, software, and manufacturing, to collectively work toward identifying and resolving issues • Root Cause Analysis and Test Planning: You will perform in-depth root cause analysis by meticulously analyzing failure modes Monitor and control the test yield for all stations • Onsite engineering support: you will be the technical owner for all test issues, test infrastructures, and test setup and will have to deliver fast and professional responses for all issues What we need to see: • B.S.C in Electrical Engineering, or equivalent experience • 5+ years of technical experience in hardware design/system • Experience with Failure analysis/Debugging/Architecture or Product Engineer • Familiar with the manufacturing processes of electrical products • Proficient with lab equipment and lab setups and troubleshooting skills • A highly motivated teammate who always stays up-to-date with new technologies and FA methodologies • Proficient English is required Ways to stand out from the crowd: • Experience as a test engineer or system/product engineer • Experience in board design/system • Familiar with ICT / JTAG technology and functional tests • Linux operating systems, and programming languages such as Perl/Python 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 seeking a highly motivated and experienced Senior Tools/Regression Engineer to join our Qualification Hardware Group. We are looking for a dynamic individual who excels in complex software and hardware environments, brings innovation to the table, and is passionate about driving product excellence. In this role, you will collaborate closely with cross-functional teams, including hardware (HW), firmware (FW), and software (SW), to deliver high-impact solutions. You will be expected to take initiative, support team-wide goals, and develop tools, automation, and regression frameworks with a forward-thinking mindset. What You’ll Be Doing: • Take ownership of hardware setups and develop tools and applications to verify hardware projects, ensuring maximum coverage and automation of auxiliary systems. • Collaborate with multiple teams across software and hardware to define, plan, and deliver end-to-end solutions. • Take ownership of software regression, ensuring the delivery of robust tools and applications. • Contribute to large-scale SW/HW projects in a cross-platform environment. • Participate in the full software lifecycle — from architecture and design to bring-up and production. What We Need to See: • B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. • 12+ years of experience in QA, Tools, or Regression Engineering, preferably at a senior level. • Proficiency in Python and Perl. • Hands-on experience with Docker for containerized development and testing. • Proficiency with Git or other version control systems (e.g., P4V). • Deep knowledge of databases such as MSSQL and Big Data technologies. • Familiarity with Power BI and Tableau for data visualization and reporting. • Extensive experience in Linux user-space development. • Proven expertise in software design, debugging, and problem-solving. • Strong analytical and communication skills, with the ability to collaborate across multiple teams. Ways to Stand Out from the Crowd: • Proficiency in Java, C#, and Java Swing-based GUI development. • Experience with scripting for data crawling and analysis. • Familiarity with databases such as MySQL, Oracle, and MongoDB. • Experience with Power BI and Tableau for data visualization and reporting. • Knowledge of setting up and maintaining system monitoring and logging tools. 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 student who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best thermal team in the industry! NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At NVIDIA, we push the boundaries of Artificial Intelligence using Deep Learning every day, designing better algorithms, hardware and software. By joining the Compute Deep Learning Architecture team you would be in an outstanding position to influence all three and help us push the boundaries even farther in large number of fields like datacenters and autonomous machines. We are looking for remarkable candidate passionate about AI and Deep Learning as much as we are. Would you like to make a difference? What you'll be doing: • As a member of our Hardware architecture deep learning team, you will contribute to features that help next-generation GPUs and systems advance the state of AI. • This position requires you to collaborate with other hardware and software engineers as well as DL researchers. • Your day to day work will include analyzing the behavior of various deep learning methods on current and future hardware architectures and propose new features to accelerate it. The features could be HW, SW or Algorithmic - usually combining all. • The main focus of this job is from hardware architecture perspective and workload performance. What we need to see: • A degree or equivalent experience in computer science, electrical engineering or related field. • 8+ years of experience in at least some of the following relevant areas is required: Performance, Hardware Architecture, Deep Learning analysis. • A familiarity with GPU computing (Nvidia or others) is a plus. • Excellent interpersonal skills, people who like to collaborate and work within a team. • innovation, motivation and passion. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. An AI-powered robot can communicate and learn motor skills through trial and error. This is truly an outstanding time. The era of AI has begun. Come and join us!

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

NVIDIA's Networking AI Platforms Security group is redefining how security operates at scale by embedding AI at the core of its detection, defense, and engineering workflows. We are seeking a Senior Security Architect to design, build, and deploy intelligent AI agent systems tackling NVIDIA's most complex security challenges. Working alongside security architects, engineering, and platform teams, this role offers a rare opportunity to shape the future of AI-powered security at one of the world's most innovative companies! What you'll be doing: • Design and deploy AI agent systems for security workflows: PQC transition, attacker-defender frameworks, threat modeling, and automated mitigation deployment. • Build frameworks integrating LLMs, RAG, and automation pipelines with security data sources and engineering workflows. • Partner with product and architecture organizations to embed security requirements early and translate threat landscapes into scalable solutions. • Own the full agentic system lifecycle: architecture, prototyping,productization, testing, and operational stewardship. What we need to see: • BS, MS, or Ph.D. in Computer Science, Electrical Engineering, or related field, or equivalent experience; Ph.D. preferred. • 5+ years of experience. • Proven experience building agentic systems, LLM integrations, RAG pipelines, or workflow orchestration in production. • Strong security foundation: cryptography, PKI, key management, Root of Trust technologies, Cloud security and secure software design. • Excellent Python skills and system design abilities across software, firmware, and cloud environments. • Strong communication skills with the ability to drive cross-functional projects in a high pace organization. Ways to stand out from the crowd: • Experience with PQC migration, cryptographic inventory, or crypto-agility programs. • Background in security automation: attacker-defender simulation, red-team tooling, SAST/DAST, or vulnerability management. • Data science experience on large-scale networking and security telemetry: anomaly detection, behavioral analytics, or risk scoring. • LLM fine-tuning expertise or open-source/research contributions in AI and security intersection. 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.

We at NVIDIA Networking Solutions Labs seek a forward-thinking, innovative, and experienced Solutions Architect with hands-on experience. By joining the team, you’ll take a part in the design and implementation of complex data center solutions, including solution architecture, HW and SW deployment, performance, and return on investment analysis. You will work with software developers and architects to research and analyze new, groundbreaking technologies. The candidate is expected to have hands-on experience with data center technologies, including operating systems, virtualization and containerization technologies, storage, networking, and infrastructure as code (IaC) tools such as Ansible. A candidate for this position must excel at working independently as well as in a group, in a multidisciplinary, dynamic environment. What you’ll be doing: • Implement cutting-edge, end-to-end data center solutions with modern applications. • Architect, develop, deploy, automate, analyze, formalize findings, and release summary reports. • Develop and release reference deployment guides and how-to tutorials. • Support company business units on complex solutions delivery by consulting, providing solutions designs, running POCs, etc. • Research technology trends and deliver best practices for integrating NVIDIA products and technologies. What we need to see: • Bachelor's degree in Exact Science or higher, or equivalent experience • 5+ years of field experience as a hands-on Solution Engineer, Solution Architect, or Senior DevOps. • Experience with the design and implementation of complex data center solutions. • Vast experience with Linux, Kubernetes, Docker containers, and QEMU/KVM virtualization. • Understanding of Networking layers and services (L2/L3, TCP/IP, Firewalls, DNS, DHCP, etc.) Ways to stand out from the crowd: • Experience with distributed systems and system analysis, with modern big data frameworks, and with AI / ML frameworks and use cases. • High level of personal responsibility and the ability to optimally prioritize and complete tasks in a fast-paced and frequently changing environment. • Excellent Hebrew/English interpersonal and written communication skills. • Fast ramp up, quick learning, high motivation, independent and effective troubleshooting and problem-solving skills. We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on 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, perform essential job functions, and receive other benefits and privileges of employment.

We are seeking a Senior RTL Integration Engineer for the NIC Silicon group. Join our team at NVIDIA's Networking business unit and be part of the innovative build and implementation of the next generation Network Adapter Silicon chips. Contribute to the development of powerful communication devices. What you'll be doing: In this role on the FullChip team, you will lead system-level integration. You will work directly with unit-level, Physical Design, CAD, Software, DFT, and other groups to ensure smooth integration and outstanding performance. You will: • Lead the integration of complex RTL builds into a cohesive, high-performance chip • Collaborate with cross-functional teams to resolve integration issues and optimize system-level performance • Ensure that builds meet strict quality and performance standards • Drive the development and maintenance of integration scripts and tools • Participate in build reviews and provide feedback to improve build quality and efficiency What we need to see: • BSc in Electrical Engineering or Computer Engineering, or equivalent experience, with a minimum of 5 years of relevant industry work experience • Proven experience in Front end integration and RTL build • Excellent analytical and problem-solving skills, capable of flawlessly identifying potential issues and providing effective solutions • Previous experience working with connectivity tools • Strong coding skills in Python or other industry-standard scripting languages • Outstanding communication skills to collaborate with various groups and build consensus Ways to stand out from the crowd: • Previous experience in verification is an advantage • Prior experience in RTL build automation is a plus 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.

NVIDIA's Networking OS Software Verification Group is rapidly growing, and we are hiring a Software Verification Engineer for the Board Support Package (BSP) and Board Management Controller (BMC) Switch Software Development team. As a member of the team, you will take part in NVIDIA’s core projects which drive the growth of the company tech and business wise, you will gain unique knowledge of how switch operating system works and how large scale networks are constructed, and how verification works at scale. Are you ready for this challenge? What you’ll be doing: • Design, develop, optimize and maintain APIs, tools and libraries for HW-managment drivers, and BMC software Verification infrastructure software. • Design, develop, execute and maintain tests automation for release features. • Collaborate with team members, Architects, design, QA teams, and customers (both external and internal). What we need to see: • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field. • 3+ years of experience as Software Engineer. • Strong and proven experience with object oriented programming languages. • Strong technical abilities, problem solving, design, coding and debugging skills. • Experience with Linux • Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision. • Great teammate with multi-tasking ability and good interpersonal skills. Ways to stand out from the crowd: • Good understading of hardware and HW-SW interfaces • Experience in Python programming. • Knowledge in Networking protocols. • Understanding hardware & low-level software 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 team-work, that guides 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, then we want to hear from you. 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

NVIDIA is seeking a visionary AI Verification Engineer to join our Chip Design Methodologies team. We’re expanding how we use AI across all our verification methods. In this role, you’ll help us figure out where AI fits best and build the 'brains' behind our tools. You’ll help us leverage AI, utilizing LLMs and machine learning—to help us debug complex chips faster and more efficiently What You’ll Be Doing • AI Ecosystem Development: Build and deploy an AI verification environment, moving from manual testbenches to automated stimulus generation and coverage closure. • Next-Gen Tooling: Develop and integrate AI agents and ML models directly within the verification toolchain to automate intent-to-testbench workflows. • Intelligent Debugging: Create and refine AI-based debug assistants that can analyze simulation failures, categorize bugs, and suggest fixes autonomously. • Methodology Innovation: Research and apply groundbreaking AI approaches (such as Reinforcement Learning or LLMs) to address the "state-space explosion" in chip verification. • Collaborative Intelligence: Work with design automation teams and EDA vendors to ensure our AI solutions provide end-to-end efficiency from RTL to GDS. • Leadership & Training: Act as the authority, training the broader team on how to bring to bear AI tools and "human-in-the-loop" methodologies. What We Need to See • Bachelor’s Degree in Electrical Engineering, Computer Science, or equivalent experience. • 8+ years of hands-on pre-silicon verification experience. • Strategic Innovation: A perspective geared toward automation and a desire to redefine traditional "manual" verification workflows. Ways to Stand Out from the Crowd • AI for EDA: Experience building or using AI tools specifically designed for hardware verification (e.g., automated coverage, log analysis, or bug prediction). NVIDIA houses the most forward-thinking minds in the world. Are you a creative engineer ready to build the first truly self-verifying chip environment? Come join our team and help us define the future of hardware powered by artificial intelligence.

We are looking for a HW Compliance Engineer (Practical Engineer with EMC experience can also fit the Job scope) to join the Compliance team. This position will be part of the Qualification group which responsible for NVIDIA HW qualification processes and testing. The ideal candidate will engage in equipment qualification tests focusing on Electromagnetic Compatibility (EMC) and Safety testing, be able to learn new features, design and execute EMI debugs. What you'll be doing: • Execute pre-compliance & compliance tests at NVIDIA EMC & Safety testing labs. • Provide feedback on product performance and recommended remedies to any non-compliances. • Writing test reports, debug summaries followed by testing performed in-house and at external labs. • Aid the development and oversight of the test setups for testing • Provide technical support, mentorship, and justifications related to testing processes and methodologies based on appropriate customer and industry regulations, requirements and guidelines. What we need to see: • 5+ years of experience in Electronics Design Verification • Electrical Practical Engineer certificate or equivalent experience • Capable of analyzing schematics and calculation summaries • Experience interfacing with various levels of the organization • Capable of developing well-organized documentation related to testing and evaluations • Willing to travel to vendors, labs, or customer sites to provide on-site testing, oversight, and support • Ability to work multiple tasks simultaneously • Proven ability to work without constraints to accomplish critical tasks. • Background with hands on testing according to FCC/EN/CISPR standards. • Prior experience in test equipment such as spectrum analyzer/network analyzer/Oscilloscopes Ways to stand out from the crowd: • Familiarity with Linux • Experience in RF • Background with Layout CAD tools. 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 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.

NVIDIA is looking for an experienced DFT Design Engineer to join the DFT design team and develop the next generation DFT technologies. As a design engineer in the DFT design team 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. • 5+ years of practical experience. • Exposure to rtl implementation and coding. • Familiarity with verification tools. • 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 or Verification experience. • Experience in developing sophisticated design blocks. • Integration of design elements to large cluster or full-chip. • Experience in working with back-end on area, power and timing closures. • Scripting ability. 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 a highly motivated Senior Software Architect to join our Networking Software Architecture team in Israel. In this role, you will define and drive the software architecture for RISC-V-based networking accelerators, with a strong focus on programmable packet processing and networking acceleration infrastructure. The role is centered on the software and system foundations that enable embedded programs to be built, coordinated, secured, deployed, and performed across NVIDIA networking platforms. You will work across architecture, hardware, firmware, software, SDK, and compiler teams to establish the common foundations for programmable networking acceleration. This includes building embedded software infrastructure, defining application lifecycle flows, and enabling scalable platforms for multiple programmable acceleration use cases. This is an outstanding opportunity to influence the architecture of programmable networking systems. You will solve complex cross-stack problems and help define how NVIDIA delivers secure, high-performance, and extensible acceleration infrastructure for future products. What you'll be doing: • Establish the vision, architecture, and roadmap for the embedded RISC-V networking accelerators software stack across NVIDIA networking platforms. • Architect the end-to-end software stack for embedded program flows across SDKs, real-time operating systems, firmware, compilation, packaging, signing, registration, deployment, and loading. • Lead the definition of interfaces, abstractions, and APIs for embedded programs. • Build proofs of concept, guide technical investigations, and use data-driven analysis to validate architectural decisions. • Identify long-term infrastructure gaps and translate product requirements into clear architecture plans and implementation priorities. What we need to see: • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. • More than 5 years of direct experience in embedded software development or low-level software architecture. • Extensive experience in system software, infrastructure, runtime architecture, or platform software for complex HW/SW products. • Solid understanding of low-level software concepts such as toolchains, compilers, binary formats, runtime loading, execution environments, performance optimization, and memory-conscious system building. • Experience working across multiple layers such as architecture, firmware, SDKs, compilers, operating systems or RTOS, and host software. • Strong technical and communication skills, with the ability to turn requirements into clear architecture, technical direction, and implementation plans across globally distributed teams. Ways to stand out from the crowd: • Proven experience with networking systems, packet processing, RDMA, transport protocols, or NIC software and firmware interfaces. • Experience with programmable networking, smart NICs, embedded accelerators, or RISC-V-based execution environments. • Background in compiler and toolchain flows, ELF and binary formats, signing and verification flows, or embedded program lifecycle infrastructure. • Experience with RTOS integration, board bring-up, BSP or driver development, or secure software delivery flows.

We are looking for a Chip Design Manager to join NVIDIA's Networking team! As a Chip Design Manager in NVIDIA's Networking Business Unit, you will lead a team of highly skilled engineers responsible for verifying the next generation of NVIDIA's cutting-edge network products and GPU technologies. This is a unique opportunity to make a real impact at the heart of NVIDIA's AI and HPC revolution, while working in a fast-paced, innovative environment. You will join a passionate, experienced team working at the forefront of silicon verification — using advanced methodologies and tools to ensure design correctness for world-class solutions in data centers, high-performance computing, networking, and storage. What You'll Be Doing: • Lead and grow a team of formal verification engineers focused on pre-silicon FV of complex digital designs. • Define and drive strategies and methodologies across multiple projects to prove design correctness and ensure quality. • Collaborate closely with Architecture, Design, and DV teams to identify verification needs and drive closure. • Provide technical guidance, mentoring, and support to engineers on the team. • Own planning and execution of verification deliverables to ensure high quality and timely tapeouts. What We Need to See: • BSc or MSc in Electrical/Computer Engineering, Computer Science, or Mathematics. • 5+ years of managerial experience leading engineering teams in chip design or verification. • 8+ years of industry experience in RTL design, functional verification, or related domains. • Strong understanding of chip design flows and verification methodologies. • Excellent leadership, analytical, problem-solving, and communication skills. Ways to Stand Out from the Crowd: • Experience with formal verification tools and methodologies (e.g., JasperGold, VC Formal). • Background in assertions, coverage models, or formal testbench development. • Track record of building and scaling high-performing engineering teams. • A passion for recruiting, mentoring, and developing talent. At NVIDIA, we believe that our people are our greatest strength. Are you a creative and driven engineering leader who’s ready to take on the challenge of ensuring correctness in the most complex chips in the world? Join us and be a part of building the future of accelerated computing

NVIDIA has transformed computer graphics, PC gaming, and accelerated computing for over 25 years. It’s a unique legacy of innovation 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 and Networking products act 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. Looking into the future, power management and power optimizations present a huge challenge in the development of silicon throughout all the development life cycles. Together, we can meet the challenge. Join the team and see how you can make a lasting impact on the world. The networking architecture team seeks a highly-skilled, leading engineer to explore, define and assimilate power optimization methods across all design disciplines. What you'll be doing: • Develop architectures, algorithms, models, and methodologies to improve power consumption of our DPU and NIC products across all design life cycles. • Lead research into innovative power optimization techniques and power modeling approaches that will drive our solutions to the next level. • Define power-aware architecture requirements and implementation strategies for next-generation products, balancing power, performance, area, and design execution considerations. • Work closely with board, package, and physical design teams to understand and mitigate design limitations: power delivery, di/dt, thermal, and signal integrity. • Collaborate across software, ASIC design, verification, and platform teams to drive power improvements end-to-end. What we need to see: • Bachelor’s or Master’s degree in Electrical Engineering or a related field from a known university. • At least 5 years of experience in ASIC design/uarch/arch/performance. • Strong EE fundamentals including knowledge of digital design, front-end and back-end practices, power analysis, and characterization. • Exceptional analytical skills with a passion for solving complex logical and system-level problems. • Excellent problem-solving, teamwork, and interpersonal communication skills. • Ability to drive complex activities involving multiple interfaces, disciplines, and teams. Ways to stand out from the crowd: • Experience as a hardware architect on high-end ASICs. • Background in computer architecture with a focus on power management, power optimization and characterization, or power modeling. • Demonstrated track record of power or performance improvements on silicon products. • Knowledge of physical design back-end practices and their interaction with power architecture decisions. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate 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 seeking an exceptional Senior Software Manager to join the System Production Engineering group. In this role, you will be instrumental in shaping the next generation of system production solutions for Network Switches. You will lead a team of engineers to develop and deliver cutting-edge production test solutions that ensure the highest quality for every NVIDIA Networking system shipped to customers. Collaborating closely with engineers, hardware and software architects, R&D teams, and external partners, including production lines, you will drive innovation and excellence in software development methodologies. Your leadership will elevate software quality standards within the group while enhancing the team's technical capabilities. At NVIDIA, we have assembled a team of extraordinary individuals whose mission is to push technological boundaries and define the platforms of the future. Join us in driving innovation at the forefront of networking solutions. What You’ll Be Doing: • Team Leadership and Development: Guide, mentor, and expand your engineering team, ensuring effective planning and execution of projects while maintaining high standards of quality and performance • Cross-Functional Collaboration: Work closely with Product and Program Management, Engineering and Production line teams, and HR to achieve business objectives, enhance user experiences, and develop user-friendly production test content • Product Lifecycle Management: Oversee the complete product lifecycle, including design, development, build, and enhancement of networking systems test software • Strategic Planning and Execution: Define product features and roadmaps, understand product strategy and market positioning, and drive products to successful completion and deployment • Quality Assurance and Testing: Review architectural designs (electrical, mechanical, process, software) of tested units to identify potential design issues and ensure robust and efficient production, resulting in high-quality products for customers • Risk Management and Issue Resolution: Identify and mitigate risks, resolve issues affecting project scope, schedule, and quality, and continuously improve processes and procedures within the team to streamline operations • This role demands a combination of strong leadership skills, technical expertise in software and hardware systems, and the ability to collaborate effectively across various departments to drive the development and delivery of cutting-edge products What We Need To See: • B.Sc. or M.Sc. in Computer Engineering, Computer Science or Electrical Engineering (or equivalent experience) • 10 years of experience in software development, test automation, or system validation • 5+ years of team management experience in building and leading highly performing teams • Strong programming expertise in Python for system-level development • Experience with production test development and automation frameworks • Knowledge of Linux systems, embedded software, and firmware development • Familiarity with hardware/software co-design, debugging, and system bring-up • Proven ability to lead and mentor software engineering teams • Strong experience in driving software development methodologies, CI/CD pipelines, and DevOps practices • Ability to work closely with hardware engineers, software architects, R&D teams, and production teams. Strong problem-solving skills and the ability to manage complex, cross-functional projects Ways to stand out from the crowd: • Fast learner – able to quickly integrate into a functional team, understand complex systems and processes, and adapt effectively to new challenges • Team player – focused on the bigger picture, collaborating across teams, and contributing to overall team success • Hardware testing knowledge – experienced with hardware testing methodologies, debugging, and validation processes 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 proud to be an equal opportunity employer. As we highly value diversity in our current and future employees.

NVIDIA is seeking an experienced and technically strong Engineering Manager to lead the DOCA SDK Verification team. The team is responsible for validating the NVIDIA DOCA SDK, ensuring the quality, reliability, and scalability of developer-facing APIs and libraries powering NVIDIA BlueField DPUs, SuperNICs, and next-generation networking platforms. In this role, you will lead and grow a team of highly skilled verification engineers and working closely with software architects, developers, and product teams to ensure the successful delivery of cutting-edge NVIDIA hardware and software solutions. Your team will help enable the software infrastructure powering AI, cloud, networking, and accelerated computing workloads running in modern data centers. This is a leadership role combining people management, technical strategy, execution, and cross-functional collaboration across multiple engineering organizations. What you'll be doing: • Lead and grow a team of software verification engineers responsible for validating the NVIDIA DOCA SDK. • Design comprehensive test plans and implement functional, integration, and system-level tests for new SDK capabilities. • Define the team's technical roadmap, verification strategy, and automation priorities to ensure high product quality and release readiness. • Partner closely with SDK developers, architects, product management, and DevOps teams throughout the software development lifecycle. • Drive the development of scalable C++ verification frameworks and automation infrastructure that enable efficient feature validation. • Foster a culture of technical excellence, ownership, continuous learning, and engineering quality. What we need to see: • Bachelors Degree in EE, CS or CE or equivalent work experience • 3+ years in a managerial position with hands on experience with the software development lifecycle and 8+ years of overall experience • Strong technical background in modern C++ software development, software architecture, and Linux-based systems. • Experience leading teams developing automated test frameworks, software quality methodologies for complex software products. • Excellent communications skills, self-motivated and well organized. Ways to stand out from the crowd • Familiarity with DOCA, BlueField DPUs, SmartNICs, GPUs or data center infrastructure software. • experience leveraging AI tools • Experience in CI methodology & servers (e.g. Git/Gerrit, Jenkins etc.) 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 engineer who loves a challenge? Come join our FW Verification team and help us build future interconnect architectures that will continue to drive us forward in the fields of High-Performance Computing, Graphics, AI and Networking.​​ 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.

We are now looking for a Senior security researcher. NVIDIA Networking product security team is looking for an outstanding technical security researcher with hands-on experience to help us improve the security posture of NVIDIA networking software. In this role you will help reduce risk, threats, and vulnerabilities in NVIDIA networking products. What you’ll be doing: • Be involved in offensive security researcher on a wide range of products. • Assist with defining and making sure software development processes meet security and coding standards. • Perform security threat modeling for NVIDIA Networking products. • Design and make security architecture recommendations to satisfy security guidelines and requirements. • Mentor teams and developers, promoting guidelines on the best security practices. • Be a technical focal point across multiple development teams and provide hands-on security engineering expertise. What we need to see: • Academic degree in computer science, electrical engineering, or related field or equivalent experience. • Demonstrated experience of 3+ years in security research. • Familiarity with applied cryptography, threat modeling, common attack vectors and mitigation techniques. • Ability to work independently, and collaboratively in a constantly evolving environment. • Excellent communication and interpersonal skills. Ways to stand out from the crowd: • M.Sc. or PhD in computer science, electrical engineering, or related technical field. • Familiarity with the cloud environment security ecosystem. • Experience with high-scale deployment challenges. • Demonstrated security research experience and publications. 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.

We are now looking for a Senior GPU Architect, Deep Learning! The NVIDIA GPU Architecture group is looking for a world class hardware architect to help define and drive future GPU architectures for deep learning and accelerated computing. In this role, you will work at the earliest stages of product definition, with primary focus on defining architectural features for future GPUs, while also contributing to relevant microarchitectural direction and tradeoffs. You will help drive new capabilities from concept through modeling, design collaboration, validation, and silicon readiness. A key part of NVIDIA’s strength is our ability to translate workload insight into differentiated hardware. We are constantly looking for ways to improve our GPU architecture for training and inference workloads while advancing performance, efficiency, scalability, and programmability. In this position, you will focus primarily on defining new architectural features, while also shaping the supporting microarchitectural direction, evaluating design alternatives, and partnering closely with ASIC design, verification, performance, and software teams to bring new capabilities into future products. What you'll be doing: • Define and architect new GPU hardware features for future deep learning and parallel processing workloads. • Drive microarchitectural exploration across key areas such as compute pipelines, memory hierarchy, data movement, synchronization, and performance efficiency. • Analyze workload behavior and translate bottlenecks into clear architectural requirements and hardware feature proposals. • Evaluate performance, power, area, complexity, and programmability tradeoffs for new architectural directions. • Develop and use functional and performance models to study new features and refine the architecture before implementation. • Work closely with RTL, design, verification, compiler, and software teams to ensure successful execution from architecture definition to productization. • Create clear architecture specifications, validation plans, and success criteria for the features you define. • Be ready to learn, dig deep, and work across the full stack when required - from workloads and models to RTL and silicon. What we need to see: • BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience. • 12+ years of relevant industry experience in GPU architecture, computer architecture, or other parallel processing architectures. • Strong background in hardware architecture and microarchitecture. • Experience defining and evaluating architectural features with solid understanding of performance, power, and area tradeoffs. • Strong programming and scripting skills in C, C++, and Python. • Experience with architectural modeling, simulation, or performance analysis. • Background in parallel computing, memory systems, high performance computing, or deep learning acceleration. • Strong communication skills and the ability to drive technical work across distributed, interdisciplinary teams. Ways to stand out from the crowd: • Deep understanding of modern GPU architecture and the interaction between hardware and AI workloads. • Experience with memory subsystem architecture, interconnects, coherence, scheduling, or execution pipelines. • Experience with pre-silicon performance studies, workload characterization, and architectural correlation. • Familiarity with training and inference behavior for large-scale deep learning models. • Experience with silicon bring-up, debug, or post-silicon analysis. 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, autonomous, and love a challenge, consider joining our GPU Architecture team and help us build the next generation of AI computing platforms.