Jobs in Yokneam

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency. You will combine deep scheduler expertise (LSF, Slurm) with automation, CI/CD, and LLM-based tooling to keep the EDA and GPU-accelerated AI compute environment resilient and measurable. What you’ll be doing: • Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads • Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time • Building and improving our ecosystem around GPU-accelerated computing • Define and develop automation scripts and wrappers tools for IC Design environment • Identify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidents • Root cause analysis and suggest corrective action for problems large and small scales • Partner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closure What we need to see: • Bachelor’s degree in Computer Science or related field, or equivalent experience • Minimum 5+ years of experience operating and supporting large-scale Linux-based compute infrastructure • Develop, fine-tune, and deploy advanced LLM-based solutions for [specific applications, e.g., NLP, chatbots, content generation, or data analysis • Strong hands-on experience supporting and tuning job scheduling systems (LSF, Slurm, etc.) in HPC or silicon design environments • Proficiency in Linux systems administration (CentOS/RHEL) • Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC) • Proficient in Python programming and bash scripting Ways to stand out from the crowd: • Deep knowledge of job scheduling systems (LSF, Slurm, etc.) configuration tuning, scheduler internals, and advanced troubleshooting techniques • Network licenses (e.g. FLEXlm) continuous maintenance, provisioning, automation, monitoring and troubleshooting • Experience implementing reliability engineering practices within HPC scheduling environments • Experience building or enhancing observability systems, including metrics collection, monitoring pipelines, alerting strategies, and performance dashboards • Background with container technologies such as Docker, Singularity, or Podman in HPC environments

We are looking for an excellent, highly motivated SW Verification Manager to join the software verification team in the Data Processing Unit (DPU) SW Group. In this role, you will lead a team of highly skilled verification engineers, combining people management, technical leadership, and execution. We are looking for a candidate with a strong quality-oriented mindset, the ability to thrive in an environment with complex software and hardware designs, and a passion for deep-dive verification of key DPU components. The role includes working closely with HW, FW, and SW teams all over the world, and taking our product to next level. What you’ll be doing: • Lead, mentor, and grow a team of software verification engineers, fostering a culture of technical excellence, ownership, and professional development. • Provide technical leadership and hands-on mentorship, driving the design and implementation of comprehensive verification plans and automated environments using Python. • Lead end-to-end feature validation, from architectural review to final system integration, ensuring robust HW-SW interoperability for high-end hardware and software. • Ensure high product quality by conducting code reviews, defining engineering procedures, and identifying, analyzing, and reporting software defects. • Drive improvements for performance, quality, and stability around SW acceleration solutions, taking an active part in integration and verification with R&D. • Partner closely with cross-functional teams (HW, FW, SW architectures, and Product) across multiple engineering organizations worldwide. What we need to see: • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). • 3+ years of experience in a managerial/team lead position, with a proven track record of leading engineering teams. • 8+ years of overall experience in software development or verification, with a strong, hands-on technical background. • Expertise in Python, specifically in testing complex embedded systems, system-level software, or firmware-integrated environments. • Strong verification attitude with experience in developing modern Software testing System/QA automation frameworks. • Expertise in networking & compute infrastructure (servers, switches, routers, TCP/UDP). • Deep understanding of Linux distributions (CentOS/RedHat, Ubuntu) and experience in software debugging and problem-solving. • Knowledge of how to tune environments for the best performance and deploy infrastructure based on innovative technologies and high-end hardware. Ways to stand out from the crowd: • Experience with PyTest or other modern Python testing tools. • Proficiency with data search and analytics engines (Elasticsearch, Kibana, Grafana). • Hands-on experience with virtualization in Linux (QEMU/KVM). • Work background with CI/CD methodologies, infrastructure, and toolsets (Jenkins, Git). • Knowledge of Docker, Kubernetes, and understanding of C/C++ toolchain in Linux. 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 and, due to unprecedented 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 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Are you ready to help safeguard the most important assets of the most valuable company in the world! Our Cryptographic Services team runs the Simple Signing Service (3S) — the HSM-backed platform that signs every NVIDIA product before shipping including our Networking business unit's every release: SpectrumX, Quantum, NVLink, ConnectX, BlueField and DOCA. Today that platform is operated entirely from the US. This role will expand and accelerate the signing platform engineering and scales the operational support to Israel. You would be the first member of Cryptographic Services located in Israel, and the local owner of signing services. We intend to grow this into a local team. Are you ready to help build it! What you'll be doing: • Own 3S for Israel-based teams during local hours: triage, debug, resolve, and advance with context when it needs the wider US and India team. • Do the engineering, not just the ticket. Review and deploy production fixes, and take root causes back into the platform so the same failure does not return. • Onboard Networking and other Israel-based teams onto signing and key generation flows, and make that onboarding fast. • Drive AI-enabled automated self-service — the 3S Copilot, our MCP integrations, runbooks and docs — so the region can unblock itself without waiting for any time zone. • Be the regional voice in our planning: bring release calendars and bring-up achievements into our roadmap before they become blocking issues. • Partner closely with the US and India teams, and with Networking DevOps and release management in Israel. • Help hire and mentor the team as it grows, including interviewing and onboarding the engineers who follow you. What we need to see: • BS or MS in Computer Science Engineering or a related field of study (or equivalent experience). • 10+ years building and operating production software, with real ownership of a service — you have carried an on-call "pager" and resolved incidents under release pressure. • Strong hands-on engineering in Python, Java, Go or similar, with AWS, Kubernetes, CI/CD and infrastructure as code. • Solid understanding of applied cryptography — PKI, digital signatures, key management — or the demonstrated ability to go deep in an unfamiliar technical domain quickly. • Clear communication in English, and the judgement to keep customers advised during an incident rather than after it. Ways to stand out from the crowd: • Hands-on experience with code signing, HSMs, secure boot or software supply chain security. • Familiarity with NVIDIA Networking release and build environments — Gerrit, GitLab, Artifactory, firmware and DOCA pipelines. • You use AI and agentic tooling to remove repetitive work, and are pragmatic about where it helps and where it does not. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

We are hiring a skilled DPU Performance Validation Engineer for our DPU product lines. This includes chip architecture performance characterization, debug, and validation across single-die and multi-die systems. Working in the Network Silicon Engineering group, you will be responsible for debugging, analyzing, and validating performance and functional behavior of current and future NVIDIA silicon devices. You will collaborate with Chip Design, Verification, FW, and Architecture teams to ensure successful product development with bold product cycles. The qualified candidate should be comfortable working in Simulation and Emulation environments, with strong skills in RTL-level debug, waveform analysis, and system-level performance root cause analysis. What you will be doing: • Learn and analyze system-level operation of NVIDIA DPUs • Debug and root-cause performance issues in pre-silicon environments, across RTL, waveform traces, and multi-die system simulations. • Collaborate closely with design, verification, architecture, and performance modeling teams to isolate and fix issues. • Develop and improve validation methodologies for performance experiments and data collection. • Automate repetitive debug and validation tasks to scale coverage and efficiency. What we need to see: • B.Sc. in Electrical Engineering, Computer Engineering, or equivalent • 3+ years of experience in ASIC development/validation. • Strong background in ASIC debug, including reading RTL, analyzing waveforms, and root-causing functional or performance issues. • Hands-on experience with performance validation and analysis at the system level (die-level or multi-die systems). • Proficiency with Python and C/C++ in a Linux environment. • Excellent interpersonal skills and ability to work optimally as part of a multi-functional team. Ways to stand out from the crowd: • Shown expertise in performance modeling, traffic generation, or architecture studies. • Experience with modern interconnects and protocols (e.g., PCIe, Ethernet, CHI). • Familiarity with emulation platforms (e.g., Palladium, Veloce, FPGA prototyping). • Passion for experimental work, data-driven validation, and creative problem solving. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking, inventive, and hardworking people working here – we need your help to build our future. Are you creative, high-reaching, and love challenges? We want to hear from you!

NVIDIA is a leading supplier of innovative end-to-end InfiniBand ,Ethernet and NVlink connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of sectors including high performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. NVIDIA is looking for a forward-thinking, focused, analytical and motivated Senior Sourcing Program Manager to join the Sourcing Team. As part of the Sourcing Team you’ll be in charge of products material supply chain and cost targets. What you'll be doing: • Full responsibility of products materials sourcing and supplier management • Assist Engineering designing in preferred supplier products for NVIDIA's innovative devices • Manage vendors' business relationships and all aspects of commercial engagements. • Responsible for Product cost and supply management Multiple teamworks with CMs, suppliers and NVIDIA internal teams (R&D, Operations, Finance, Sales) • Develop, modify, and implement commodity strategy to align with NVIDIA needs. • Analyze suppliers' landscape including components, modules, and CM spaces to ensure NVIDIA is aligned with the best suitable partners. What we need to see: • BS in Industrial Engineering or similar or equivalent experience • 8+ years of proven experience in managing suppliers • Technical skills and Product management skills in electronic/boards industries • Customer-focused, Self-sufficient & able to take charge of tasks from start to finish, Able to balance multiple tasks and Driven by goals – achieve objectives and deadlines • Proficient in fast paced, innovative, and multi-faceted organization while influencing cross-functional teams to align strategy. • Teammate with good interpersonal relations Languages: English - required: Good writing and verbal skills Ways to stand out from the crowd: • Experience working with Global suppliers and proven track record in driving sourcing initiatives • Background with electrical and mechanical components market. • Familiar with ERP & PLM systems • Knowledge in components and boards design and production process • CMs' management – understand CM procurement cycle and be able to guide the communication in between CM and suppliers.

NVIDIA is looking for best-in-class Physical Design Power Engineer to join our outstanding Networking Silicon Power engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput, lowest latency and best Power! 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 will be doing: • Power Optimization of Physical design, of blocks/top-level/fc under challenging constraints. • Optimization involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise fixes. • Power estimation and power modeling. What we need to see: • B.SC./ M.SC. or equivalent experience in Electrical Engineering/Computer Engineering. • 1+ years of experience in physical design and/or BE power optimization aspects. • Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.). • Native ability to leverage modern AI tools to accelerate engineering workflows, productivity, and problem-solving. • Knowledge in physical design flows and methodologies (PNR, STA, physical verification) is an advantage. • FE design experience is an advantage. • Excellent problem-solving, partnership, and interpersonal skills. 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!

We are looking for Full-Chip Verification Engineer to join our NVIDIA’s Networking Silicon team. In this role, you will be responsible for the development and verification of our next-generation NICs at the system level. You will contribute to the architecture of high-speed communication devices by driving full-chip verification execution for the networking solutions powering the world’s most advanced data centers, enjoy working in a meaningful, growing environment where you make a huge impact in a technology-focused company. What you’ll be doing: • Full-Chip Verification & Execution: Own system-level features by defining verification plans and driving the end-to-end execution. • System-Level Debug & Analysis: Gain a strong understanding of chip micro-architecture and features, investigate, debug, and resolve cross-block issues to guarantee feature correctness and compliance • Cross-Team Collaboration: Work closely with multiple teams within organizations such as Architecture, u-arch, Firmware and all units inside the NIC • AI-Enhanced Development: Accelerate development by leveraging cutting-edge AI coding tools and frameworks. What we need to see: • Electrical Engineering B.Sc. or Computer Engineering B.Sc. graduate with high scores or equivalent experience • 3-5 years of experience in Verification or HW simulation • Strong debugging, problem solving and analytical skills • Innovation Mindset - a proactive approach to adopting new methodologies and coding tools to solve complex challenges • A team player with good communication and interpersonal skills Ways to stand out from the crowd: • Prior verification experience of SoC • Knowledge in network flows and protocols

Nvidia networking is a world-leader in building the most powerful supercomputers in the world which drive the AI and HPC industry. These rely on high performant network ASICs which connect GPUs at scale for efficient data transfer and compute. We are looking for a hardware performance modeling architect to join our team and build a network simulator used for the design, optimization and exploration of our future networking chips. The role is cross-disciplinary, collaborating with hardware and software teams across the wider NVIDIA. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation networking solutions. What you'll be doing: • Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options for our next generation of switches. • Learn and understand the switch ASIC across all performance related aspects • Focus on switch hardware modeling. • Analyze and model the communication patterns of key DL, GAI inference and training applications. • Explore innovative ideas to improve and optimize our chip systems performance. What we need to see: • BSc/MSc in Electrical Engineering, Computer Science from a known university. • Experience in developing simulation models. • 2+ years of experience in C++ and Python. • Strong debug skills. • Excellent verbal and written communication skills. Ways to stand out from the crowd: • Master's degree in Electrical Engineering, Computer Science or related technical field. • 5+ years of relevant practical experience. • Experience with network simulation tools (omnet, ns3, sst, gem5) • Demonstrated ability to innovate and lead new technologies leading to product impact. • Experience with NVLink/Ethernet/IB technologies. 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!

The complexity of the chip has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. The NVIDIA System-On-Chip (SOC) group is looking for a Senior RTL Design Engineer to serve as the technical lead for clocks development on our next-generation networking chips. Clocks are the backbone of the SOC. In this role you will lead the development of the chip's clocking logic — PLL and reference clock integration, clock generation, distribution, muxing and dividers, glitchless switching, clock gating, reset synchronization, and the clock domain crossing infrastructure that every unit on the die depends on. This is an RTL design and technical leadership role, not a circuit or transistor-level design role. Working from the clock architecture defined with the architecture and micro-architecture teams, you will lead its implementation in RTL, guide other engineers contributing to it, and drive it through to silicon in close partnership with Design Verification and Physical Design (backend). You will also interact regularly with CAD, Package Design, Software, and DFT teams. What you'll be doing: • Acting as the technical lead for SOC clocks development — leading the implementation of the clocking logic from specification through tape-out and bring-up • Working with the architecture and micro-architecture teams on the SOC clock and reset scheme: collecting clocking requirements from units across the chip, feeding back implementation and timing considerations, and translating the agreed scheme into a verifiable design • Writing and reviewing synthesizable Verilog/SystemVerilog RTL for clock generation, distribution, muxing, division, glitchless switching, gating, and reset synchronization • Leading and mentoring other RTL engineers working on clocking: reviewing designs, setting coding and quality standards, and distributing work across the team • Working hand-in-hand with the Physical Design (backend) team on clock tree implementation, SDC/timing constraints, partitioning, floorplan feedback, trial synthesis, and timing convergence • Partnering with Design Verification on clocking testplans, functional and gate-level debug, and coverage closure • Supporting Software and firmware teams on clock programming sequences, DVFS, and low-power/clock-shutdown flows • Representing clocking implementation in cross-functional design reviews with architecture, PD, DV, DFT, and CAD stakeholders What we need to see: • B.Sc./M.Sc. in Electrical Engineering or Computer Engineering • 8+ years of relevant experience in RTL/logic design, with multiple chips taken to tape-out • Demonstrated technical leadership: leading a design area through implementation and tape-out, mentoring engineers, and coordinating across teams • Expert hands-on RTL design skills in Verilog/SystemVerilog, with strong understanding of how RTL choices affect synthesis results, timing, area, and power • Deep understanding of clocking and reset design: clock gating, clock muxing and dividers, glitchless clock switching, reset synchronization, and clock domain crossing • Proficiency with design quality tooling — lint, CDC/RDC, formal verification, synthesis, and static timing analysis (STA) — including the ability to interpret results and drive fixes back into the RTL • Experience taking a design from architecture and micro-architecture specification through verification, physical implementation, and silicon bring-up • Great teammate with strong communication skills across micro-architecture, DV, backend, DFT, and software teams Ways to stand out from the crowd: • Prior hands-on experience with SOC-level clocking or reset logic on a taped-out chip • Experience with PLL/clock generator integration and clock tree constraint development with backend teams • Experience with high-speed networking, interconnect, or fabric designs • Background with low-power design techniques (clock gating, DVFS, power domains, UPF) • Experience building automation for RTL integration, chip assembly, or design quality flows At NVIDIA, you will be immersed in a diverse and encouraging environment where everyone is encouraged to do their best work. Join us and see how you can make a lasting impact on the world. 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. The GPU Networking Software Architecture team is looking for a Senior Software Architect to help shape software for next-generation AI infrastructure. In this role, you will combine hands-on software architecture and development with system-level thinking. You will collaborate with experienced architects and engineering teams across NVIDIA while expanding your software architecture skills. Join us to help build the technologies that connect and manage large-scale accelerated computing systems. What you’ll be doing: • Contribute to the architecture and prototyping of GPU networking software for large-scale AI infrastructure. • Analyze requirements, evaluate design alternatives, and document technical decisions and trade-offs. • Develop proofs of concept to evaluate interfaces, performance, resiliency, and software-hardware interactions. • Collaborate with GPU, switch, firmware, driver, networking software, product, and architecture teams to move concepts toward implementation. • Build knowledge of the GPU networking software stack and take increasing ownership of well-defined architectural areas. What we need to see: • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent experience. • 5+ years of relevant software development experience in Linux environments. • Strong understanding of software engineering fundamentals, including debugging, testing, data structures, concurrency, and operating-system concepts. • Solid foundational knowledge of computer networking. • Ability to understand complex systems, reason about component interfaces and design trade-offs, and communicate technical ideas clearly. • Curiosity, initiative, collaborative problem-solving skills, and an eagerness to learn from experienced architects and engineers. • Ability to work effectively with teams across locations and time zones. Ways to stand out from the crowd: • Knowledge in one or more of the following: Ethernet and IP datacenter protocols, management and telemetry protocols, GPU interconnects, Linux kernel or driver development, and network operating systems. • Experience building prototypes or contributing to system-level architecture and design documents. • Familiarity with AI communication libraries or programming models such as NCCL, UCX, MPI, CUDA, or equivalents. • Knowledge of Kubernetes, containers, or cloud-native infrastructure. • Experience analyzing performance, reliability, resiliency, or observability in complex software systems. NVIDIA is widely considered 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 are creative, collaborative, and excited to grow from hands-on software development into software architecture, we want to hear from you.

Join NVIDIA's outstanding team and contribute to our legacy of innovation in the Senior Product Quality role! At NVIDIA, we are dedicated to pushing the boundaries of pioneering technology. The Senior Product Quality Engineer will provide leadership and management for the Networking system product quality within the organization. Establish, maintain, and optimize an effective quality management methods and target to achieve high quality performance. As part of our team, you will work on networking IC products and ensure their readiness for production stage. Leading and mentoring root cause analysis for issues related to design, manufacturing or customers. Enhance and improve products performance by proactive risk assessment and other prevention methods. This is an outstanding opportunity to be part of a company that is crafting the future of AI and computing. What You'll Be Doing • Integrated Circuits (IC) quality manager will coordinate and lead the quality function and sustain the quality philosophy for the organization. • Establish, maintain and optimize an effective quality management system. • Build and implement a quality plan to achieve the levels of quality established through organizational goals, customer expectations, and related partners. • Improve products by working towards problem-solving tools, prevention methods, quality-at-the-source and continual improvement techniques. • Maintain and improve product build development, verification and validation processes, to allow high quality of interconnects and systems products throughout the entire product life cycle. What We Need to See • Bachelor’s degree or master’s degree or equivalent experience in electrical engineering or material science. Other technical degrees will be considered • Experience: 5+ years preferred in leadership and manufacturing • Knowledge in semiconductor design and process • Strong interpersonal and project management skills • Strong problem-solving skills and analytical ability, processes oriented Ways to Stand Out from the Crowd • Integrator experience in the semiconductor industry • Experience in Silicon Photonics develop and manufacturing • Leadership capabilities

NVIDIA is looking for an experienced Team Lead for the NIC FW verification infrastructure team. In this role, you will lead the verification infrastructure - ensuring testing infrastructure stability, scalability, and continuous improvement - while guiding the development of advanced modules and methodologies. You will be responsible for driving the team’s technical direction, supporting the evaluation of data and control path for new features, and ensuring high-quality deliverables that meet the expectations of industry-leading customers. As a leader, you will mentor and grow a team of engineers, foster a culture of ownership and execution, and collaborate closely with NVIDIA’s networking NIC FW teams. What you will be doing: • Lead and drive team execution end-to-end, combining managerial ownership with hands-on technical contribution - including ownership of the verification testing domain, its flows, coverage and the regression cycle. • Develop deep expertise in NVIDIA technologies, with a strong focus on FW functionality with corresponding interfaces with HW and SW. • Drive team execution by setting clear priorities, removing blockers, and ensuring high-quality, timely delivery - while maintaining a high bar for technical excellence and clearly communicating priorities, trade-offs, and status to stakeholders. • Define and continuously improve testing methodologies, including leading retrospectives for missed bugs to identify gaps - driving actionable changes to test coverage, flows, and verifiers. • Act as a technical leader within the team, contributing to design discussions, mentoring engineers, and actively participating in high-level design and code reviews. What we need to see: • B.Sc. in Software Engineering, Computer Engineering, Electrical Engineering, or Computer Science. • 3+ years of experience in an engineering management or team leadership role, with a strong hands-on technical background. 6+ overall years of experience as an engineer. • Strong coding skills with deep understanding of OOP principles and software design. • Ability to operate effectively in a fast-paced, dynamic environment, balancing execution with continuous improvement. • Demonstrated leadership qualities — ownership, initiative, problem-solving mindset, and the ability to drive results independently and as part of a team. Excellent verbal and written communication skills in English, with the ability to clearly articulate priorities and align with stakeholders. Ways to stand out from the crowd: • Deep familiarity with c++. • Familiarity with regression concepts, testing flows, and CI practices. • Knowledge of Networking protocols. • Working with Git, Gerrit, Jenkins, Docker. • Experience in working in an agile approach. 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.

The company's Advanced Research (ARG) team in Yokneam is looking for a Senior Electro-Optical / Board Design Engineer for research and development. The ARG group is doing research and development of next-generation electro-optical devices and EO sub-systems for high-speed communication. Our solutions include laser diodes, photo-diodes, modulators, and electronics for use in optoelectronics. The selected candidate would work as part of a multi-disciplinary team, composed of engineers and researchers, supporting the development of future components and systems, for current and next generations. What you’ll be doing: • Take part in research and development of next-generation electro-optical devices and EO sub-systems for high-speed communication. • The candidates tasks will include electrical specification of EO sub-systems and evaluation boards, schematic design, component selection and characterization, layout considerations and implementation, Fabrication and Assembly guidance. • Hands-on development and testing within Data Center interconnect lab environment. What we need to See: • B.Sc./M.S.c.in Electrical Engineering or Practical Engineer certificate or equivalent experience. • 10+ years experience with electro-optical and High-Speed Board Design. • Strong background in high-frequency and broadband (>20GHz) design. • Strong system-level understanding. • Background in thermal and mechanical design considerations. • Good SI/PI understanding in perspective of multi-layer PCB design. • Experience in electro-optical and High-Speed lab environment – High-end measurements. • Knowledge of electro-optical components: Drivers, CDR, Gearbox, DSP, Lasers, Detectors, Amplifiers…etc. • Strong abilities to work as part of a team. Highly motivated. Ways to stand out from the crowd: • Design and knowledge with Data-Center environment [Switches/CPU/DPU/GPU] • Experience in layout extraction and board-level simulation. • Knowledge with board-design tools (Cadence environment). • Familiar with NRZ/PAM-4 signaling schemes as well as familiar with various communication protocols: SPI, I2C, SerDes, PCIe, Ethernet. • Previous experience as a technician\Practical Engineer at IDF technology units.

NVIDIA Networking System Product Engineering group is looking for an excellent Software Engineer.  The position requires an understanding of HW and SW to provide stable, efficient, smoothly running production tests, to enable high availability, while ensuring the quality of the products being shipped to customers. You will lead the development of our products and raise the bar of the software development quality in the group. We have crafted a team of extraordinary people, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. What you’ll be doing:  • Design and develop automated tests for networking Switches and Adapters while working closely with the HW, ASIC, and SW Engineering teams to achieve a reliable test with high coverage • Exposed to various aspects of design, DFT, and test of NVIDIA's next-generation network products • Take a significant part in the definition and development of tests from the development level to the final test of Network-Systems • Utilize test suites to find, debug and resolve problems with production process • Ability to drive projects to full execution in time and working under pressure of schedule and multi project environment • Supporting and fixing bugs of existing code. Supporting production lines for: deployments, patches, maintenance • Test Verification and Validation (both HW and SW). Troubleshooting and streamlining/optimizing our testing procedures What we need to see:  • BSc/MSc or equivalent engineering degree in Computer Science, Electrical Engineering, or a related field • 4+ years of related experience in software development and design  • 4+ years of proven experience in Python or similar platform • Excellent knowledge of a version control system (preferably GIT)   • Linux based development • Experience with Software/Hardware products integration • Excellent communication skills with hands-on experience collaborating with global teams • Strong teamwork skills, with the ability to collaborate effectively across cross-functional teams Ways to stand out from the crowd:  • Excellent programming, debugging, performance analysis, and test design skills • Familiarity with product manufacturing flows and processes • Exposure and knowledge around application development, configuration management and automation • Experience in tools/services development. Creativity – find solutions for challenging requirements • Strong leadership skills to drive a project from definition through mass production.

Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art accelerated compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. We pioneered a supercharged form of computing loved by the fastest paced computer users in the world - scientists, designers, artists, and gamers. We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today, such as car and Pharmaceutical. As a high-performance system architect at NVIDIA, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world. What you’ll be doing: • Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments). • Research of various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW. • Developing models for simulations and performance testing, analysing the results and development of future HW and SW. • Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project. What we need to see: • B.Sc, M.Sc, or Ph. D degree in Computer Science, Computer Engineer, or Electrical Engineer. • At least 5 years of industry or research experience in computer networks. • Excellent understanding of large-scale networks behaviour and the effect of distributed computing workloads effect on the network. • Experience in development of simulation environments. • Possess strong managerial, problem solving and critical thinking skills. • Ability to work and operate in a highly dynamic environment. • Partner with multiple groups in the organization. Ways to stand out of the crowd: • Strong understanding in network protocols - such as InfiniBand, IP, TCP and RoCE and network topologies. • Good knowledge in Python, C++. • Good knowledge with AI models. • Familiarity with HPC environments, routing algorithms, Omnet++ and NS3 simulation environments. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. 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 looking for an innovative thermal solutions integration Engineer. NVIDIA offers you to be a part of the System Product Engineering group and be responsible for assuring the best quality products to be a sale and deliver to NVIDIA’ s customers. The job provides deep knowledge of NVIDIA systems, a system-level view of our solutions, and a dynamic and positive working environment and offers the candidates the opportunity to take a major role in our testing strategy by leading our thermal solutions integration and testing for the company production. NVIDIA Networking unit has continuously reinvented itself over two decades. Our high-speed buses & network products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another. Today, we are increasingly known as the place for getting “End-to-End High-Speed Ethernet and InfiniBand Solutions” We're looking to grow our company and build our teams with smart people who can join us at the forefront of technological advancement. If you are passionate about enabling the highest quality Network products that will change the world, we want to hear from you! What You’ll Be Doing: • Integration and testing of next-generation, large-scale thermal, pressure, and liquid management solutions. Perform qualification tests for cutting edge cooling and sensing solution. • Analyse and summarize thermal performance data and fluid dynamics results to support design reviews and decision-making. • Primary onsite focal point for malfunctions in thermal liquid cooling stations. Diagnose and resolve hardware/software issues to maintain continuous development labs activity • Maintain and update hardware (manifolds, connectors, sensors) and software versions across all thermal systems according to engineering specifications. • Perform initial RCA on thermal system failures. Extract detailed fail reports and corrective/ preventing suggestions. • Build and maintain practical documentation including thermal assembly instructions, fluid loop installation procedures, and troubleshooting guides. • Manage inventory for critical thermal components and define maintenance cycles routine. • Own full responsibility for the thermal and liquid cooling solutions lab. What We Need to See: • B.Sc. in Mechanical Engineering – a must. • Minimum 4 years of expertise in liquid cooling thermal integration and implementation. • Hands-on experience with liquid cooling management, including chillers, CDUs, and monitoring systems. • Strong communication skills, with the ability to bridge gaps between diverse technical and functional groups. • A consistent track record of supporting multiple complex projects simultaneously • Ability to travel to CM sites to support troubleshooting of thermal systems, perform fluid loop audits, or assist in specialized installations as needed. • Self-motivated learner with a commitment to high-quality execution and innovative problem-solving. • Cross-functional collaboration and strong teamwork skills. 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 transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Within NVIDIA, the Networking Business Unit (NBU) builds the high-speed interconnect — Ethernet, InfiniBand, NVLink, and BlueField DPUs — that switches thousands of GPUs into a single AI supercomputer, moving data at the scale and speed the most demanding workloads require. NVIDIA is looking for a Software Architect to join our Network System Validation group. You will work on developing systems for validating advanced networking solutions across NVIDIA complex AI cluster environments. The group is a high-performance engineering force that treats validation as a first-class software problem. We build systems, frameworks, and benchmarks that prove our network's correctness and performance at scale. This is a senior, deeply hands-on role for a technology leader who can own the software architecture, development roadmap, mentor a team of high-performance engineers, and push NVIDIA's network to its speed-of-light limits. This role combines the design of validation methodologies with hands-on development of testing frameworks, automation infrastructure, and advanced debugging, analysis, and investigation tools for network performance and functionality at scale. What you’ll be doing: • Design and implement network validation methodologies for system-level testing • Build the systems that orchestrate millions of concurrent IO operations, inject chaos at the infrastructure layer (latency, congestion, losses, and hardware failures), and expose the hardest-to-find system faults • Building the systems that capture, store and process TBs of telemetry data to produce autonomies root-cause-analysis and system level insights • Advance AI-driven approaches to test automation: intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines • Establish engineering practices — design docs, production-grade code reviews, testing philosophy, and cross-team technical alignment • Produce clear, data-driven reports and insights What we need to see: • B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience • 12+ years of experience in developing large scale software projects • Strong distributed system experience and system-level debugging skills • Strong software skills: C/C++/Rust, Python (must), Bash • Experience building automation frameworks and validation tools • Experience building large-scale infrastructure platforms, internal developer platforms, or reliability engineering systems • Deep understanding of distributed systems: concurrency, consistency models, fault tolerance, and large-scale system behavior under stress • Proven track record leading complex technical initiatives from architecture through delivery • Ability to drive technical alignment across teams, communicate tradeoffs clearly, and make high-quality architectural decisions at speed Ways to stand out from the crowd: • Background with RDMA / RoCE / AI networking (NCCL) • Experience with L2/L3/L4 networking protocols • Familiarity with NVIDIA networking solutions (ConnectX, SpecX, BlueField) • Background in performance analysis, Kubernetes, or cloud environments • Background in chaos engineering, fault injection, or simulation systems 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! 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, disability status or any other characteristic protected by law.

NVIDIA Switches ASIC group is seeking a top-tier ASIC Power technical manager to lead the development of our next-generation ASICs Power execution, modelling, and optimization. Join us in shaping the future of technology! As an ASIC Power Project Lead, you will manage the pre-silicon Power activities of NVIDIA's most advanced and complex switch ASICs. You will collaborate with a cross-disciplinary team, interacting with unit-level ASIC, Physical Design, CAD, Package Design, Firmware & Software, DFT, System Design, Analog Design, and other specialized teams. What you’ll be doing: • Lead the ASIC Power execution from architecture stages until tape-out. • Post-Silicon Power Activities: Monitor and support chip Power from power-on and bring-up, quality phases, to mass production. • Power Execution Plans: Define and implement Power execution plans in collaboration with cross-discipline leaders. What we need to see: • BS or MS in Computer or Electrical Engineering or equivalent experience. • 15+ overall years of proven experience in chip design. • 8+ years of experience in VLSI / chip design, leading teams of at least 8 direct reports. • High system view with ability to collaborate with multiple interfaces. • Strong analytical and problem-solving skills. • Excellent communication and teamwork abilities. • Experience in ASIC power optimization, ASIC power modelling, thermal, reliability, Power Integrity, Package and Board design is a plus. If you are creative, autonomous, and love a challenge, we want to hear from you! Join NVIDIA and be a part of the team that is driving the future of technology.

The Networking IC Test Engineering Program Manager will own the technical release planning and execution infrastructure for test programs across all Networking products. The role will drive NPI test readiness, TRD (Test Readiness Dependencies) to test mapping, release dashboarding, fuse approval tracking, ASIC availability coordination, and convergence between test platforms. This person should have enough technical depth to identify real engineering risks, not only schedule delays, and should create the structure that allows test engineers to focus on test content, quality, coverage, and debug. What you'll be doing: • Own IC ATE test program release planning across NVIDIA Networking products, including milestones, dependencies, risks, and release criteria. • Build and maintain a test program release dashboard covering readiness, blockers, release status, TRD mapping, coverage gaps, and ownership. • Define and drive the Test Engineering readiness plan for NPI products from early development through production release. • Coordinate TRD mapping to test content, ensuring requirements are tracked, covered, reviewed, and reflected in release decisions. • Create the operating model for test program releases, including release gates, checklist ownership, approval flow, and escalation paths. • Partner closely with test engineers, product engineering, silicon/platform teams, operations, and release stakeholders to identify technical risks early and structure resolution plans. • Standardize release documentation, training materials, handoff packages, and post-release lessons learned, and align communication across Confluence pages and stakeholder updates. • Improve visibility and efficiency so test engineers can spend more time on test quality, coverage, debug, and optimization. What we need to see: • Strong technical background in semiconductor test engineering, product engineering, validation, or TE program development. • Bachelors degree or equivalent experience. • 5+ years' experience with NPI execution, production release processes, test readiness, or silicon bring-up flows. • Familiarity with test program structure, test limits, coverage, characterization, release criteria, and manufacturing constraints. • Program management skills: planning, dependency tracking, risk management, stakeholder alignment, and execution discipline. • Ability to translate technical engineering status into clear release decisions, dashboards, and management-level communication. • Strong ownership mindset; able to drive structure in ambiguous, cross-functional environments. • Excellent communication skills, including Confluence documentation, dashboard definition, and training material creation. • Proven Leadership / Managerial / Program management experience

The NVIDIA CPU team is a world-class, global organization united by a mission to push the boundaries of what’s possible and shape the future of computing. We are looking for a talented, fast-learning and highly motivated Logic Design Engineer to join our team. As part of the core design team, you’ll take ownership of parts of the design and work closely with architecture, verification, and physical design teams, contributing to a fast-moving, technology-focused environment and helping shape future products. What you'll be doing: • As part of the CPU core team, you’ll take ownership of a unit. • Contributing to the micro-architecture, writing RTL and documentation. • Working closely with verification and implementation teams to meet timing, area, performance, and power goals. What we need to see: • A Bachelor’s Degree in Electrical Engineering, Computer Engineering or Computer Science, or equivalent experience. • 2+ years of experience in processor or other related high-performance semiconductor designs. • Hardware description language expertise required • Strong communication and interpersonal skills. Ways to stand out from the crowd: • A strong background in computer architecture is highly desirable. • Experience with AI-assisted development tools (e.g., Cursor, Claude Code, or similar) is a plus. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, come join our CPU design team, we want to hear from you!