Nvidia

NVIDIA is looking for a Senior Chip Design Verification Engineer to join our Network Adapter Silicon group. As a Senior Verification Engineer at NVIDIA Networking Silicon team, you will join a group of passionate engineers to design and implement the next generation state-of-the-art Networking Silicon chips. In this position, you will make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! What you'll be doing: • Work in a combined design and verification team which develops core units within the Networking silicon. • Build reference models, verify and simulate chip blocks/entities according to specifications and performance requirements. • Work closely with multiple teams within organizations such as Architecture, Micro-Architecture, FW and Post-Silicon validation. What we need to see: • B.Sc. in Electrical Engineering or Computer Engineering, or equivalent experience. • 8+ years of proven experience in RTL verification. • Experience with Specman is an advantage. • Knowledge of HDL (Verilog/VHDL). • A great teammate with good communication and interpersonal skills. 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 crafting the highest performance and lowest power silicon possible? If so, we want to hear from you. Come, join our Network Adapter Silicon design team and help us build the next chip in this exciting and quickly growing field.

Join NVIDIA’s powerful Networking Silicon engineering team as a Synthesis Senior CAD Engineer! In this pivotal role, you'll be at the forefront of developing the industry’s advanced high-speed communication devices, delivering outstanding efficiency and minimal latency. This is your chance to architect, build, and improve advanced RTL to PNR tools, flows and methodologies using the world’s latest process technologies. Be part of a group that’s driving technology forward and pushing the frontiers of development. What you will be doing: • Methodology Deployment: Design and refine sophisticated Synthesis flows to meet ambitious Power, Performance, and Area (PPA) objectives. • Partner closely with upstream Front-End Design and downstream Place & Route (P&R) flows development teams. Define boundaries, resolve design constraints, and bridge systemic execution gaps. • Develop robust and scalable scripts using Tcl/Python to improve Flow Turnaround Time (TAT). Integrate next-generation capabilities such as AI/ML automation into production runs. • Serve as a subject matter expert and trusted representative for adjacent project teams. Provide proactive support, deep-dive debugging of complex tool failures, and formal synthesis training to build teams. What we need to see: • Academic Background: B.Sc./M.Sc. in Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience. • Core Synthesis Experience: 3+ years of hands-on experience in VLSI synthesis flows, with deep, proven expertise in Synopsys Fusion Compiler or Design Compiler (DC-Top/DC-Ultra). • Technical Skills: Strong proficiency in Tcl or Python scripting within a production-level CAD/EDA environment. • Attitude & Ownership: A highly enthusiastic, dedicated approach with a demonstrated "sense of ownership" to proactively step into process vacuums and drive complex tasks to completion. Ways to stand out from the crowd: • Familiarity with synthesis, place and route, STA EDA tools from Synopsys (DC/FC/PT), Cadence (Genus/ Innovus/Tempus). • Experience in methodology definition / flow ownership of synthesis / Place and Route/ STA steps is an advantage. • Great teammate with strong ownership, self-learning skills, and the 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 is seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation NVIDIA Networking products. You'll be expected to take a strong hands-on role, working with diverse teams across NVIDIA and with external partners to meet security requirements for our state-of-the-art network products. NVIDIA’s invention of the GPU 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. Today, we are increasingly known as “the AI computing company”. We are looking to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you! What you'll be doing: • Research, design, develop and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards. • Apply innovative hardware security primitives to enable next generation secure software extensions supported by hardware. • Design next generation production and provisioning systems. • Collaborate with partners on the implementation of open-source software. • Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams. • Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods. • Work with customers, partners to identify and address security issues and threats. What we need to see: • BSc, MS or PhD in Electrical Engineering, Computer Science or Computer Engineering, or equivalent experience. • 7+ years of relevant experience. • Experience with production and provisioning design of SoC systems. • Have directly worked on several of the following: • Key management systems and HSM operation. • First-hand work experience with IO interface including: I2C, I3C, SPI, UART, USB, PCIe • Computing platform boot architecture in embedded devices and servers • RISC-V architecture, Root-of-trust, and security processors. • Familiarity with embedded systems and programming low-level firmware. • Familiar with Security-by-design hardware and principles of privileges. • Programming and debugging fundamentals across languages such as: Verilog, Python/Perl scripting, ARM assembly and C/C++. • The ability to work in a dynamic collaboration oriented team is required and strong communication skills and a real passion for working as a team are essential. 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We seek an SW Automation Engineer to join our Ethernet Switch SONiC Network OS. As a Automation Engineer at NVIDIA, you will have to work closely with NVIDIA’s development and architecture teams responsible for SONiC Network OS and gain a deep understanding of NVIDIA products and technologies. What you’ll be doing: • Participate in an international team of software engineers working on products for testing NVIDIA products • Design and implement robust, maintainable, and efficient automation test suite • Work with Continuous integration systems and regression tools, automate builds, and test suites, generate test reports, isolate and classify failures and review new degradation. • Innovate! Bring SONiC NOS to shine in customer's view What we need to see: • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field • 5+ years of experience as a Software Engineer • Intrinsically motivated with a desire for automation programming • Programming skills in Python • Strong technical abilities, problem-solving skills, coding, and design skills Ways to stand out from the crowd: • Linux knowledge: have a general understanding of Linux operation system concepts • Strong communication and interpersonal skills, with the ability to motivate and inspire others. • Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols • Prior software testing experience, with an understanding of Software Testing Tools and Methodologies, and python expertise. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

NVIDIA is looking for an excellent Senior Firmware Verification Engineer for NVIDIA FW SerDes verification Group. The person will be part of FW SerDes verification of NVIDIA Products. Will closely work with NVIDIA FW SerDes development, architecture teams and gain deep understanding of NVIDIA's products and technologies. What you'll be doing: • Own the responsibility for delivering Networking features and their verification aspects. • Define, develop and maintain verification infrastructure and regression tests suites - make test suites robust, maintainable and easy portable. • Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results. • Innovate! Bring NVIDIA product to next quality level What we need to see: • B.Sc. in Computer Science / Computer Engineering / Electrical Engineering / Communication Engineering or equivalent experience • 5+ year of relevant experience • Programming Knowledge in C and C ++, python • Experience with Verification and Automation • Experience with C/CPP • Knowledge in Linux, Git • Creative, motivated and value-driven person • Background with CI methodology & tools (Gerrit, Jenkins etc.) Ways to stand out from the crowd: • Experience with Networking applications and protocols 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? Are you ready to become the engineer you always wanted to be? Come and be part of the best chip design team in the industry! 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.

NVIDIA is looking for a best-in-class engineer for an exciting role as a pre-silicone technical leader capable of leading complicated pre-si programs while fine-tuning existing and defining new methodology processes. Be a key player in the networking hardware and software development path and contribute to the latest breakthroughs in high performance networking appliances. Lead the pre-si technical programs from initial MRD presentations through "all hands" bring up events towards final customer samples release. Pave the way to improved methodology and streamline processes. We develop SW and FW pre-silicone features, solutions and tools for next-generation ASICs, and orchestrate the pre-silicone process and ASICs bring-up events. What you’ll be doing: • Leading a multi-functional cross org team, responsible for ensuring critical software and firmware is ready to support the bringup of new Switch ASICs • Driving technical issue resolution to enable single day silicon bring up on multiple SW/HW layer while meeting aggressive product schedules. • Drive, improve and introduce in-team and cross-team processes to guarantee high quality pre-silicon execution. • Interface and drive pre-silicon issues across multi-functional teams: Product Management, Architecture, Software Design and Verification, System Hardware and Software, System and IC product engineering teams and others. Drive technical sessions with multi-functional teams to track & follow-up on issues, progress and escalations. • Focused issue reporting, bug tracking, and communication of pre-si technical program risks & status. What we need to see: • B.Sc./ M.Sc. or equivalent experience in Computer Engineering / SW Engineering. • 8+ years of design experience in multifaceted and multidisciplinary environment. • Solid understanding in software development lifecycle and methodologies. • Excellent attention to detail and highly organized. • Exprinace with working with Git, Gerrit, Jenkins etc. • Firm knowledge of L1, L2, L3 networking. • Wide system view of HW, System and SW of embedded systems Ways to stand out from the crowd: • Proven ability with hands on leading silicon projects from concept to production. Track record of managing complex, multifaceted schedules, driving improvements and lessons learned into organizational and team processes and methodologies. • Solid understanding of pre-si HW based emulation and SW based simulation products and tools • Ability to build effective working relationships across multiple org. functions, engineers and managers. Strong multi-tasking and real-time crisis management skills. Ability to understand and extract action plans from complicated technical discussions and translate to clear messaging for multifunctional and executive status reporting. • Experience in communication equipment (switch-routers) ASIC, System, Microcode/FW or SW layers development • Knowledge of real-time Microcode/Firmware/SW, RTOSs and Linux embedded environment 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! #LI-Hybrid

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

NVIDIA is looking for a talented and experienced Team Manager to join our CAD Sign-Off group, sitting at the intersection of CAD development and circuit engineering. Our team drives both the development of CAD flows and tools as well as circuit studies and design methodologies, supporting world-class silicon sign-off for NVIDIA's most advanced chips. The role combines internal development work with close collaboration across multiple NVIDIA groups worldwide. You will lead a team responsible for tracking and executing these activities end-to-end, ensuring quality, alignment, and delivery across all fronts. Come be part of a highly professional, impactful environment where your leadership shapes the way we design and sign off our chips. What you'll be doing: • Own the tracking and execution of team activities spanning both internal CAD flow development and circuit-level studies and design methodologies. • Lead and coordinate engineers working across CAD sign-off, circuit analysis, and design methodology domains. • Drive collaboration with chip design teams, full-chip engineers, and other NVIDIA CAD and design groups globally, ensuring timely and high-quality sign-off convergence. • Serve as a key interface between the team and other NVIDIA groups, aligning priorities, sharing methodologies, and driving cross-group initiatives. • Identify risks and bottlenecks early, propose mitigation plans, and keep projects on track. • Foster a culture of ownership, technical excellence, and continuous improvement within the team. What we need to see: • B.Sc./M.Sc. in Electrical Engineering, Computer Engineering, or equivalent experience. • 8+ overall years of experience in engineering or software development, with a solid technical foundation in CAD, EDA, or circuit design environments. • 3+ years of experience in team management roles in CAD or Backend design domains. • Proven ability to track, manage, and complete complex engineering activities across multiple workstreams. • Strong organizational skills, attention to detail, and excellent written and verbal communication. • Demonstrated ability to work effectively both within a focused engineering team and in cross-group, cross-site collaborative settings. Ways to stand out from the crowd: • Background in circuit design or analysis — familiarity with sign-off domains such as STA, power integrity, IR-drop, or EM is a strong plus. • Prior experience in a formal management or team lead role. • Experience conducting or reviewing circuit studies, feasibility analyses, or design methodology evaluations. • Familiarity with EDA tools such as PrimeTime, RedHawk, or similar sign-off platforms. • Track record of successful collaboration across multiple engineering teams or organizations. 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 technically grounded leader who thrives at the crossroads of CAD and circuit engineering, and excels at building bridges across teams? Join us and make your mark on the sign-off flows powering NVIDIA's next generation of chips.

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

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

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

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

NVIDIA 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 are looking for a Principal Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, HW team and external customers. You will define the Software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play. What you’ll be doing: • Join the cluster-manager team - the TOMA team. The cluster-manager is a highly distributed code that interacts with all the other components and is responsible for the life-cycle of the volumes and their RAIDs. • Design and develop cluster-manager functions • Coordinate testing of cluster-manager functionality with the QA team • Acquire understanding of the algorithms, the technicalities and the interaction with the other components • Analyze challenging bugs and customer cases, identifying issues in the cluster-manager and often in other components • Drive new solutions based on any issues that arise • 100% hands on role - large scale production system. The work involves feature design and implementation, debugging, and maintaining existing production code written in C/C++. What we need to see: • B.Sc. or M.Sc. or Ph.D. in Computer Science or related discipline (or equivalent experience). • 15+ years of experience as a senior developer, preferably in a storage company. • Comprehension of large and sophisticated systems. • Shows strong potential to become a tech leader. Ways to Stand Out From the Crowd: • Independence. • Strong communication skills. • Ability to work with customers and partners 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.