Nvidia

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. We are looking for a Senior Software Engineer to provide broad technical leadership for BlueField ARM processor platform boot, from early firmware through Linux login. Do you enjoy looking beyond the problem in front of you and asking how technology, tools, and engineering methods should evolve for the next generation of products? This is an opportunity to have an impact well beyond individual features! We value technical depth, curiosity, and practical innovation, and we want this role to help raise the technical capabilities of the entire organization. This senior individual-contributor position spans firmware, kernel, architecture, and product teams. You will help drive current product development while also shaping future technical direction, introducing new tools and methods, and improving how our teams develop, debug, validate, and understand complex systems. What you'll be doing: • Own the technical strategy and roadmap for BlueField platform boot integration, from early firmware through Linux login. • Set the technical direction for platform boot integration in partnership with the architecture team, experienced domain experts, product teams, and firmware partners. • Lead the most complex cross-layer technical issues and drive technical decisions with architecture and domain experts on reliability, security, performance, recovery, and platform readiness. • Define the operating model for boot integration: interface contracts, qualification criteria, release decisions, technical risk management, and escalation paths across organizations. • Identify and assess emerging technologies, development methods, and tools. Drive adoption where they improve product capability, quality, engineering efficiency, or time to debug. What we need to see: • Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with 12+ years in embedded, firmware, or Linux system software. • Deep knowledge of ARM platform boot, including firmware, ATF, UEFI, bootloaders, Linux kernel bring-up, device tree, platform initialization, and userspace handoff. • A record of leading difficult cross-organizational projects from definition through delivery, including decisions with material product or schedule impact. • Experience influencing architecture and product direction through technical judgment, without relying on direct management authority. • Strong C skills and practical experience with Linux development, debugging, and hardware/software integration. Ways to stand out from the crowd • Hands-on experience with ATF, UEFI/EDK II, Linux kernel, or complex ARM SoC/server boot flows. • Experience with secure boot, measured boot, provisioning, firmware update, or recovery flows. • Experience building automated test, simulation/emulation, observability, or failure-triage infrastructure. • Experience introducing tools or engineering practices that significantly improved team efficiency or technical capability. • Knowledge of PCIe, I2C/I3C, SPI, SMBus, BMC interactions, reset and power sequencing, and server-platform interfaces. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com NVIDIA is 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.

At NVIDIA, we build the communication fabric solutions that powers the world's most demanding AI workloads. As a Junior Solution Validation Engineer, you'll dive deep into complex, large-scale networking environments — validating, debugging, and improving the systems that make breakthrough AI possible. This is a hands-on, high-impact role where your work directly influences the reliability and performance of next-generation infrastructure. What you’ll be doing: • You'll own system-level validation across the full stack — from physical-layer interfaces to cluster-wide telemetry. Day to day, you'll investigate and resolve issues spanning networking, PCIe, InfiniBand, and other high-performance interfaces, driving root-cause analysis and defining corrective actions. You'll build and automate the tools that give our teams deeper visibility into system health, stability, and performance. • Analyze logs and telemetry data to surface failures, anomalies, and bottlenecks before they become problems, and you'll collaborate closely with hardware, firmware, software, and AI teams to continuously improve debuggability and system resilience. Every investigation you lead and every tool you build makes our infrastructure smarter and more reliable. What we need to see: • Bachelor's degree in Electrical Engineering, Computer Engineering, Information Systems, or a related field • 2+ years of hands-on experience in system validation, networking, or a related engineering field • Hands-on experience with Linux environments and debugging tools • Proficiency in Python and/or Bash for automation and scripting • Experience with telemetry, streaming data systems, or data analysis for cluster health monitoring • Sharp troubleshooting instincts and a structured approach to problem-solving • Eagerness to develop architecture-level understanding of complex systems • Cle • ar, concise communication skills and strong technical writing ability Ways to stand out from the crowd: • Familiarity with PHY, networking protocols, or system architecture • Experience with AI-driven monitoring and analytics platforms • Knowledge of MTBI/MTBF analysis and incident investigation methodologies • Hands-on experience with NVIDIA networking technologies — InfiniBand, Ethernet, or NVLink — in large-scale deployments You'll work alongside some of the brightest engineers in the industry on technology that matters. We offer competitive compensation, comprehensive health and wellness benefits, equity participation, flexible work arrangements, and continuous learning opportunities. NVIDIA invests in your growth — from mentorship programs to access to cutting-edge tools and research. NVIDIA is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, or veteran status. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process. If you require an accommodation, please contact us.

We are now looking for a HPC Operations Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIA’s strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized. What you’ll be doing: • Troubleshoot incoming support requests in a large-scale HPC environment. • Contribute improvements to existing deployment automation, configuration management, observability, and operational monitoring and day to day operation through automation. • Ensure compute servers are running an accurate Operating System and configuration. • Address Complex Issues: Perform comprehensive issue resolution from bare metal to application level, ensuring system reliability and efficiency. • Collaborate with specialist teams to drive issues to closure. • Collaborate with domain experts to improve how our chip development process utilizes our infrastructure. • Directly contribute to the overall quality and improve time to market for our next generation chips. What we need to see: • BS in Computer Science or similar degree or equivalent experience • 2+ years of experience Proficient in coordinating Centos/RHEL Linux distributions. • Understating of container technologies like Docker. • Proficiency in Python and UNIX scripting languages such as bash. • Excellent problem-solving skills, with the ability to analyze sophisticated systems, identify bottlenecks, and implement scalable solutions. • Excellent communication and teamwork skills, with the ability to work optimally with teams with varied strengths and individuals. • Proven understanding of cluster configuration managements tools such as Ansible. Ways to stand out from the crowd: • Understanding of key Linux technologies such as NFS, automounter, LDAP, DNS, and TCP/IP networking in Red Hat Linux distribution flavors. • Familiarity with job scheduler administration (e.g. IBM Spectrum LSF or SLURM) and experience building/ operating large scale compute infrastructure. • Knowledge of the FlexLM license management system. • Proficiency in Perl for maintaining legacy automation scripts. • Familiarity with High-Speed Networking (InfiniBand, RDMA, RoCE etc.) and fast, distributed storage systems (Lustre, GPFS, etc.)

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 an Engineering Manager to join our Network System Validation group. You will work on system 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. In this role you will lead the validation direction and engineering excellence of one of our technology validation teams. This is a management role for a technology leader who can own the technical roadmap and execution, mentoring a team of high-performance engineers, and push NVIDIA's network to its speed-of-light limits. This role combines the development of methodologies and automation tools with system validation, performance analysis, and investigation of cutting-edge AI networking technologies at scale. What you’ll be doing: • Lead, mentor, and coach a team of software development and system validation engineers. • Review system and product requirements, design validation methodologies, develop comprehensive test plans, functional and performance, for networking technologies in large-scale AI cluster solutions • Develop and maintain benchmarks, automation tools and scripts for test execution, environment setup, log collection, and data analysis. • Lead end-to-end investigation of complex issues by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across the hardware and software stack, and driving them to root cause and resolution • Collaborate deeply with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components using targeted experiments and code inspection • Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations • Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes • Foster a team culture centered on software quality, accountability, and technical excellence What we need to see: • B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience • 8+ overall years of experience in networking, system validation, or related domains • 3+ years of experience leading software or system development team • Proven experience debugging complex production systems by forming hypotheses, designing experiments, and driving issues to root cause • Strong scripting and automation experience using Python, Bash, and/or Ansible • Ability to read, debug, and reason about C/C++ code (Rust or Go a plus) • Ability to drive technical alignment across teams, communicate tradeoffs clearly, and make high-quality architectural decisions at speed • Advance AI-driven approaches to test automation: intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines Ways to stand out from the crowd: • Experience with large-scale clusters or distributed systems • Familiarity with NVIDIA networking solutions (ConnectX, SpecX, BlueField) • Background in performance analysis, Kubernetes, or cloud environments • Background in chaos testing, 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 is building the world’s most sophisticated AI computing platforms, powering breakthroughs in generative AI, large language models, and scientific discovery. Our accelerated computing technologies enable researchers, engineers, and enterprises to push the boundaries of what is possible with artificial intelligence. We are seeking a senior researcher to join us to explore new ideas at the intersection of RDMA, transport, algorithms, hardware and software, shaping the networking technologies behind the next generation of AI! We’re excited to learn from your perspective and work together to turn research into improvements that matter. In this role, you will join a group of researchers advancing innovation with deep technical knowledge, analysis, and comprehensive systems thinking. You will collaborate and learn with top architects and researchers responsible for some of NVIDIA’s most advanced networking technologies. Our insights directly affect NVIDIA's develop of products, from micro-architectural choices to applications and software libraries. This role suits researchers who can progress from identifying an application-level bottleneck, through transport and algorithm design, down to NIC microarchitecture and then confirm if the proposed solution delivers measurable system-level value. What you’ll be doing: • Conduct innovative research and analysis for the RDMA NIC & Transport Research group. Your research insights will build NVIDIA solutions and help drive innovation across the entire stack: • Develop deep expertise across NVIDIA’s RDMA and transport architecture. • Identify architectural gaps, opportunities, and competitive advantages. • Form research hypotheses and rigorously validate them through modeling/simulation/experimentation. • Translate findings into product proposals. What we need to see: • B.Sc. or M.Sc. in Electrical Engineering, Computer Science, Computer Engineering. • 4+ years of relevant experience • Demonstrated experience bridging across fields and contributing verifiable system-wide improvements. • A track record handling engineering trade-offs across product research and time-to-market. • Experience in programming and debugging within a production-scale software environment. • Excellent interpersonal skills, with the ability to present sophisticated technical findings clearly to domain experts and non-experts. Ways to stand out from the crowd: • Deep expertise in one or more networking domains, such as RDMA transport protocols, congestion control, multipath/load-balancing algorithms, NIC microarchitecture, collective communication and NCCL, rank placement, network topology, or AI training/inference communication. • PhD or equivalent experience in engineering, or a proven history of significant research work. • A drive for impact. We are an equal opportunity employer and value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability. We provide reasonable accommodations for individuals with disabilities throughout the application and employment process.

We are now looking for a verification engineer for our FC Switch Silicon team. As a FullChip verification Engineer at NVIDIA's Networking business unit, you'll join a group of passionate engineers to design and implement the next generation state-of-the-art Switch Silicon chips. In this position, you'll 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 FC verification team within the Switch silicon. • Dynamic verification environments planning for units infrastructures and system level • Work closely with multiple teams within organizations such as Architecture, u-arch, Full chip Micro-Architecture, BE, and FW • Responsible to drive the FullChip verification execution, including staging plan of the projects and deliveries What we need to see: • Electrical Engineering B.Sc. or Computer Engineering B.Sc. • 2+ years of experience in dynamic verification. • Knowledge in network protocols and/or HPC and distributed calculations - advantage. • A team player with good communication and interpersonal skills. 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 creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Switch Silicon design team and help us build the next chip in this exciting and quickly growing field.

NVIDIA is powering the world’s most advanced AI factories, where resilient infrastructure is essential to keep accelerated computing environments running at scale. The Agentic AIOps team is building a mission-critical observability and prediction platform - delivered as both a high-scale SaaS solution and a robust on-premises deployment for NVIDIA’s largest enterprise customers. As a Senior DevOps Engineer, you’ll help turn agentic AI capabilities for diagnosing and troubleshooting network and GPU infrastructure into secure, scalable, production-ready services. This role stands out through its end-to-end ownership across cloud and customer-managed environments, close partnership with software and AI engineers, and direct influence on the reliability of NVIDIA’s AI infrastructure. What You'll Be Doing: • Own the DevOps, infrastructure, security, release, and reliability lifecycle - from development environments and CI/CD through deployment, production readiness, and sustained operations. • Build and operate Kubernetes environments and Helm-based deployments for a Python, FastAPI, Node.js, and React microservices platform across SaaS and on-premises footprints. • Engineer GitLab CI/CD pipelines with automated testing, container builds, vulnerability scanning, and versioned image and Helm chart publication through JFrog Artifactory. • Automate infrastructure provisioning, configuration, upgrades, and routine operational workflows to accelerate delivery and improve engineering productivity. • Operate PostgreSQL, Temporal workflow services, and S3-compatible object storage with disciplined capacity planning, backups, recovery testing, and safe migrations. • Strengthen release reliability through deployment validation, reduced-downtime strategies, persistent-state protection, and recovery plans for active workflows. • Deliver actionable observability and security using OpenTelemetry, Datadog/Grafana, Langfuse, secrets management, identity integration, TLS, Kubernetes RBAC, network policies, and container hardening. • Partner with software and AI engineers to troubleshoot distributed systems, investigate incidents, define reliability targets, and improve platform performance, resource efficiency, and customer outcomes. What We Need to See: • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience. • 5+ years of experience in DevOps, site reliability engineering, or platform engineering supporting distributed applications and microservices. • Strong hands-on experience with Kubernetes, Docker, and Helm, including networking, storage, workload scheduling, scaling, and troubleshooting. • Strong Linux administration skills and proficiency in Python and Bash for automation, plus experience with infrastructure as code and configuration tooling such as Terraform and Ansible. • Experience building and maintaining CI/CD pipelines, including runners, container registries, artifact management, automated quality gates, and secure release practices. • Practical experience operating PostgreSQL or comparable relational databases, including SQL, migrations, backup and restore, and performance troubleshooting. • Strong networking and observability fundamentals across TCP/IP, DNS, HTTP, TLS, load balancing, ingress, metrics, logs, traces, dashboards, and actionable alerting. • Sound understanding of secure infrastructure operations and incident response, with demonstrated ownership, cross-functional collaboration, and prioritization in an evolving environment. Ways To Stand Out From the Crowd: • Experience operating AI applications, agent platforms, or LLM services, including monitoring latency, failures, token usage, and cost. • Familiarity with Temporal, LangGraph, Model Context Protocol (MCP), Langfuse, ClickHouse, Redis/Valkey, or S3-compatible storage. • Deep experience with OpenTelemetry instrumentation and collectors, Datadog APM, or Prometheus/Grafana. • Experience with self-hosted Kubernetes, OpenShift, Kubernetes operators, CloudNativePG, or GPU clusters and AI data centers. • Experience building reproducible AMD64 and ARM64 container images, optimizing BuildKit pipelines, and securing the software supply chain. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are passionate about building mission-critical systems at the frontier of AI infrastructure, we want to hear from you. #LI-Hybrid

NVIDIA is at the forefront of the AI revolution, delivering brand new accelerated compute platforms for global impact. Our Network Architecture group is seeking a talented and motivated Sr. Software Engineer to build the agentic workflows that our architects use in their daily work. The software at the center of this role is our hardware network simulation environment — you will design multi-step agent workflows over it, engineer the context that grounds them in our own specifications and source code, and optimize their runtime performance. If you are passionate about building the practical infrastructure that brings intelligent agents to life, we want to hear from you. What you'll be doing: • Build agentic workflows — loops, graphs, and multi-step pipelines — that carry real hardware network simulation and analysis work end to end. • Engineer the context these workflows run on, turning our simulation models, specifications, design documents, and source code into context that makes agents accurate in our domain. • Work closely with network architects to understand their workflows and translate them into agent workflows they use daily. • Optimize the runtime performance of our simulation tooling on these platforms, including execution time, compute cost, and end-to-end latency. • Define evaluation and regression testing for agent workflows, so that changes to a prompt, a graph, or a context source are measurable. • Build observability across agent runs: what the agent did, where it failed, and why. • Champion guidelines for secure and reliable agent workflows, including data handling, access control, and interaction boundaries. • Serve as a key technical resource for solving sophisticated integration issues between agents and internal tooling. What we need to see: • B.Sc. or above in Computer Science, Computer Engineering, or a related field, or equivalent experience. • 5+ years of hands-on experience in software engineering, with demonstrated ownership of production systems from design through deployment. • Expert-level programming skills in C++, with strong Python skills alongside it. • Strong understanding of the full stack, including hardware: memory, I/O, networking, accelerators, and where real performance bottlenecks occur. • Current, practical knowledge of how to build systems around AI models: agent loops, tool interfaces, context retrieval and management, and common failure modes. • Understanding of inference serving, including request lifecycle, batching, caching, and the tradeoffs between throughput, latency, and cost. Ways to stand out from the crowd: • Experience writing hardware simulation software — network, system, or architectural simulators, models, or testbenches. • Networking experience — protocols, fabrics, switching, or RDMA — and experience working alongside silicon, systems, or architecture teams. • Hands-on experience with inference serving engines such as vLLM, TensorRT-LLM, or Triton Inference Server, including low-level internals such as KV cache, batching and scheduling, and quantization, and related performance work such as profiling and GPU programming. • Hands-on experience building or fine-tuning LLMs or other generative models. • Agent workflows, tooling, or context pipelines adopted by other engineering teams. NVIDIA is home to some of the most innovative and dedicated professionals in the industry. We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate, and self-motivated, we want to hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on NVIDIA Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software. Solution Engineers may spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing R&D related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products. What you'll be doing: • Take ownership and drive customer issues with Ethernet or InfiniBand network adapters/DPUs/Switches deployments from inception to resolution. • Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products. • Bring your experience to solve complex, cross-functional issues using your independent analysis, communication to improve customer experience. • Collaborate with engineering to document, recreate and solve issues. What we need to see: • BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). • 12+ years of system development and troubleshooting, ideally with some customer facing. • Experience developing/debugging with C in kernel and/or application space and/or embedded software. • Strong understanding of Linux (tools, utilities, kernel, networking stack) and virtualization. • Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team orientation. • Professional-level communication skills, interpersonal skills with a passion to solve problems. Ways to stand out from the crowd: • Familiarity with InfiniBand networks, RDMA protocol, RoCE, DPUs, DPDK, HPC applications (MPI/UCX), OVS • Hands-on experience in troubleshooting and analysis of the common datacenter networking protocols/technologies (e.g.: LACP, OSPF, BGP, EVPN, VXLAN), manageability interfaces and protocols • Proven ability to deeply analyze IP / Layer 2 switching / Layer 3 routing networking protocols . • Contributions to networking related open-source projects.

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. At NVIDIA, we’re transforming the way the world interacts with technology. Our CPUs are at the heart of groundbreaking innovations across AI, gaming, and autonomous vehicles. Join our CPU Performance Architecture team in Israel and be part of a company that is pushing boundaries and making an outstanding impact globally. This is your opportunity to help build the future of computing with your expertise and passion! What you'll be doing: • Innovating and improving CPU performance through modern microarchitectural ideas. • Modeling potential improvements to determine their merit and feasibility. • Implementing effective solutions and collaborating closely with build, functional and performance verification, and post-silicon teams. • Resolving critical issues related to timing, power, and area to achieve flawless implementation. • Partnering with lead microarchitects to meet the CPU core’s performance, area, and power targets. • Advocating for microarchitectural ideas, communicating their benefits and drawbacks in various mediums. • Driving the microarchitecture definition with enthusiasm and energy, leading by example. What we need to see: • At least 8 years of experience in a frontline role within state of the art flagship CPU projects. • Deep understanding of brand-new CPU microarchitecture and architecture. • Proven track record of CPU microarchitectural innovation across areas such as Midcore CPU Uarch or Memory Subsystem CPU Uarch. • Experience in performance modeling, debugging, and demonstrating the merit of innovative ideas. • Close collaboration skills with build and verification teams to successfully implement microarchitectural improvements. • Strong critical thinking, communication, and advocacy abilities. • Minimum educational requirement: Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field, or equivalent experience. Ways to stand out from the crowd: • Experience leading microarchitecture definitions and driving performance improvement initiatives. • History of collaboration with architects and microarchitects to achieve ambitious targets in a highly competitive environment. • Demonstrated ability to think critically and advocate for complex yet performant ideas successfully. • Energy & Enthusiasm for driving innovation and leading by doing.

NVIDIA Networking HW Qual teram is looking for a System Electrical Characterization and Validation engineer, to take part of Networking system validation and characterization efforts of different platforms and products. You will be a part of a team working on groundbreaking technology. We are in need of hardworking and motivated engineers ready to define and lead validation activities. Do you have analog approach, have passion for lab work, data analysis and post-Si hands on problem solving? We will be happy to have you on our team! We are looking for a skilled and experienced Engineer with a focus on System Electrical Validation to join our Engineering team in Yokneam, Israel. As part of this role, you will play a crucial role in ensuring the quality of our advanced products. You will collaborate closely with PHY design, system architecture and company wide system, validation, reliability, signal integrity and testing owners to devise and implement effective validation strategies, aligning with our high-quality standards. What you’ll be doing: • Create and implement electrical validation plans for new products. • Analyze and interpret validation results to identify potential issues. • Collaborate with design and architecture teams to define required validation and optimize and solve electrical issues. • Design and develop test scripts and frameworks to automate validation processes. • Work closely with software and firmware teams to ensure seamless integration. • Provide technical expertise and guidance to junior team members. • Maintain accurate documentation of validation activities and results. What we need to see: • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience. • 5+ years of proven experience in electrical validation. • Ability to analyze analog circuits and analog issues. • Familiarity with I/O protocol and electrical compliance and validation. • Proficiency in scripting languages such as Python, Perl, or Shell. • Excellent problem-solving and analytical skills. • Ability to work collaboratively in a fast-paced and dynamic environment. • Exceptional communication and interpersonal skills. • Fluency in English. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Our HW Sustain team in Israel is looking for an board designer to join the sustaining engineering team . The team leads the HW sustaining of networking infrastructure for NVIDIA next-generation data centers focusing on accelerated performance while enabling optimized end to end GPU connectivity. NVIDIA's Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet 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 markets 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. Our products are focused on delivering the most optimized power - performance communication solutions for industries like AI, ML, Cloud, Media and Entertainment as well as any other industry that can benefit from our Datastream acceleration. What you'll be doing: • You will take engineering ownership of networking products once they are released to production • Provide engineering technical leadership for improving product availability, driving cost reduction, and resolving manufacturability issues • Work on debugging and resolving HW related quality issues to improve customers' satisfaction What we need to see: • B.Sc. in Electrical Engineering (or equivalent experience). • 2+ years as a board designer, experience in complex HW projects execution. • Hands-on lab skills. • Background in leading Multi layer PCB design. • Experience in high current power delivery design. • Personal: Project management skills, independent, excellent interpersonal relationship. Ways to stand out from the crowd: • Experience in data-center switches products design for high volume manufacturing. • Proven knowledge in high speed design . • Experience in embedded systems design. • Knowledge in advanced PCB technology. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for an excellent Software Manager to join the Switch SDK Group and lead a team of powerful software engineers. You will join the SDK group and take our product to next level, working closely with various other design and architecture teams and gain a deep understanding of NVIDIA’s products and technologies. NVIDIA has been redefining 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. What you'll be doing: • Leading and managing a dynamic team of engineers, ensuring smooth and efficient project execution. • Developing and implementing NVIDIA's Ethernet SDK with a focus on high-performance and reliability. • Collaborating with teams from other subject areas to identify technical requirements and successfully implement innovative solutions. • Following established guidelines and standards to ensure the delivery of high-quality products. • Continuously striving for excellence, improving team performance, and driving innovation. What we need to see: • A bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience. • 8+ years of overall relevant experience • Proven experience with over 4 years of managing engineering teams of 4 or more members. • Outstanding leadership skills and a proven record of effectively managing complex projects. • Strong knowledge and experience in Ethernet communication, network protocols and real time software. • Experience with C/C++ programming • Experience with Linux internals • Strong analytical, creative, debugging, and problem-solving skills, along with a collaborative approach Ways to stand out from the crowd: • Python programming experience • Excellent understanding of embedded SW and real-time programming

NVIDIA is looking for best-in-class STA (Static Timing analysis) Physical Design Engineers to join our outstanding Networking DFT 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 will be doing: • DFT STA execution, from rtl driven constraints and definitions through DFT constraints quality assurance to STA sign-off. • Be part of a unique team of experts who have deep understanding in all aspects of pre and post silicon. • Be exposed and work on a variety of challenging designs, unique DFT solutions that require deep silicon implementation understanding. • Daily work involves all aspects of static timing analysis - constraints, environment, models generation and timing ECO generation for block level and full chip level. • Taking part in flows development. What we need to see: • B.SC. in Electrical Engineering/Computer Engineering. • 2-3 years of experience as STA engineer. • Ability to quickly adapt to new technology and go deep into new areas • Strong communication skills • Great teammate. • Drive new solutions based on any issues that arise Ways to Stand Out From the Crowd: • Knowledge in physical design flows and methodologies (PNR, STA, physical verification). • Knowledge in DFT flows such as ATPG, Mbist, Ijtag. • Prior experience in DFT timing closures. • Knowledge in CDC. • Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.). NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

NVIDIA is looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you'll be doing: • Perform physical layout for full-chip level, integration, pinning and bump route • Work with block owners and project managers to assure high quality convergence in all layout aspects • You will be responsible for chip layout from the floorplanning stage through tape-out What we need to see: • An Electronics Engineer certificate or a B.Sc. in Electrical Engineering • You should have 5 years of hands-on Full-chip layout and Physical Verification experience, demonstrating your proven expertise. • A strong background in Physical Verification methodologies, including DRC, LVS, ANT, ERC, and DFM for advanced process nodes, is required • Knowledge in scripts' language: TCL, Unix and Shell • Experience in Linux environments • AI tools orientation or alternatively a desire to learn • Familiarity with physical build EDA tools, including Synopsys (ICC2/FC) and Cadence (Innovus) • Familiarity with Physical Verification tools: Synopsys (ICV), Siemens (Calibre) • Self-motivation, attention to detail and good interpersonal skills Ways to stand out from the crowd: • Experience in methodology definition / flow owner of Full-chip / Place and Route • Great teammate • Ownership, self-learning skills and ability to work autonomously NVIDIA is widely considered to be one of the tech world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.

NVIDIA is the world leader in visual computing and artificial intelligence, powering some of the most powerful supercomputers globally. We are at the forefront of innovation, enabling breakthrough applications across every industry — from self-driving cars to the development of cutting-edge AI technologies like ChatGPT. We make the most impactful solutions happen. We believe in fostering a culture of excellence and are seeking top talent to join our team. Our work environment is fast-paced, collaborative, and intellectually stimulating — offering you a front-row seat in shaping the future of technology. The Networking Application Engineering team at NVIDIA is looking for a motivated, experienced Senior Hardware Engineer who thrives at the intersection of hardware performance, ecosystem validation, and ODM/OEM partnerships. In this high-impact role, you will own critical qualification tooling, drive the design-in process with leading hardware partners, and collaborate across NVIDIA's R&D organization to accelerate hardware resolutions at scale. Your work will directly influence the quality and velocity of next-generation networking hardware reaching the world's most advanced data centers and supercomputers. What You'll Be Doing: • Own and lead the Hardware Performance and Qualification tooling suite, driving continuous improvement in test coverage, automation, and accuracy in collaboration with leading ODMs and OEMs. • Drive the design-in process with top-tier ODM and OEM partners, ensuring seamless hardware integration and delivering best-in-class platform experiences. • Partner cross-functionally with multiple R&D departments to identify, escalate, and resolve hardware issues rapidly — reducing time-to-resolution and maintaining platform quality. • Define and execute qualification plans for new hardware platforms, validating performance, stability, and compliance across diverse system configurations. • Build and nurture trusted technical relationships with ODM/OEM engineering teams, acting as the go-to expert for hardware performance and qualification. • Provide actionable feedback to engineering and product teams based on qualification findings and partner interactions. What We Need to See: • BSc/MSc in Electrical Engineering, Computer Engineering, or a related field or equivalent experience • 5+ years of experience in hardware development, including high-speed multilayer PCBs. • Proven problem-solving skills with a track record of driving issues to closure. • High proficiency in English communication and presentation. • Excellent interpersonal skills — comfortable engaging directly with ODM/OEM technical counterparts. Ways to Stand Out from the Crowd: • Knowledge of server topology, PCIe protocols, BMC interfaces, and security aspects. • Experience with the physical layer of network and PCIe ports, including SerDes tuning. • Proven track record working directly with ODMs and OEMs through design-in and qualification cycles. • Knowledge of high-speed signal integrity theory and practice, with experience using lab equipment. • Experience in script or firmware development to enhance test automation. NVIDIA is consistently recognized as one of the most desirable employers in the tech industry, attracting the brightest minds in innovation. Our team is filled with forward-thinking, creative individuals passionate about solving the most complex problems in technology. If you are ready to make a significant impact and thrive in an environment that values deep technical excellence, creativity, and autonomy — we want to hear from you.

We are looking for a Chip Design Manager to join our Switch Silicon team. As a Chip Design Manager at NVIDIA's Networking Business Unit, you'll join a group of passionate professionals to design and lead the implementation of the next generation of state-of-the-art Switch Silicon chips. In this position, you'll 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: • Lead a team of design and verification engineers that develops core units within the Switch Silicon. • Handle micro-architecture for RTL and simulation environment planning for units and modules. • Be responsible for the delivery of complex RTL units and their verification. • Work closely with multiple teams within the organization, such as Architecture, Full Chip, Micro-Architecture, BE, and FW. What We Need To See: • BSc or MSc in Electrical/Computer Engineering, Computer Science, or Mathematics. • 3+ years of managerial experience in chip design. • 8+ overall years of industry experience in RTL design, dynamic verification, or related domains. • Strong understanding of chip design flows and verification methodologies. • Excellent leadership, analytical, problem-solving, and communication skills. 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 creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Switch Silicon design team and help us build the next chip in this exciting and quickly growing field.

Our HW team in Israel is looking for an experienced system/board designer to join the Hardware Switch Group. The team leads the development of networking infrastructure for NVIDIA next-generation data centers focusing on accelerated performance while enabling optimized end to end GPU connectivity. NVIDIA's Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet 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 markets 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. Our products are focused on delivering the most optimized power - performance communication solutions for industries like AI, ML, Cloud, Media and Entertainment as well as any other industry that can benefit from our Datastream acceleration. What you'll be doing: • Perform board bring-up, hardware validation, characterization, and system-level debugging in the lab • Debug issues involving power, signal integrity, interfaces, components, firmware interactions, and system behavior • Support productization, production-line stabilization, and hardware-related issues during mass production • Read and analyze schematics, PCB layouts, component specifications, design documentation, and manufacturing data • Define test strategies, develop validation plans, execute test procedures, and improve coverage and efficiency • Collaborate closely with electrical, mechanical, thermal, firmware, software, system, manufacturing, and quality teams throughout the product lifecycle • Provide technical leadership and hands-on support for critical hardware issues What we need to see: • B.Sc. in Electrical Engineering (or equivalent experience). • At least 8 years of hands-on experience in hardware bring-up, validation, debugging, or product engineering • Proven board-level and system-level debugging capabilities • Strong ability to read and understand electrical schematics and PCB layouts • Experience using laboratory equipment and applying structured troubleshooting methodologies • Strong problem-solving skills, technical curiosity, and attention to detail • Ability to work effectively in a dynamic, multidisciplinary environment and manage several activities in parallel • Strong communication and teamwork skills Ways to stand out from the crowd: • Experience with high-speed interfaces such as Ethernet, PCIe, SerDes, I²C, SPI, or similar technologies and supporting NPI, manufacturing lines, production stabilization, failure analysis, or yield-improvement activities • Familiarity with manufacturing processes, test stations, boundary scan, ICT, or functional testing • Experience working with contract manufacturers, suppliers, or component vendors • Familiarity with bug-tracking, failure-analysis, or PLM tools • Experience developing networking, server, data-center, or high-performance computing hardware NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA's Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, optical transceivers, 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. We are constantly reinventing ourselves to stay ahead of the market and bring ground-breaking products and services to the industry by using novel technologies. Our products are focused on delivering the most optimized power - performance communication solutions for industries like AI, ML, Cloud, Media and Entertainment. We are seeking experienced electrical engineers with a passion for system-level thinking and innovation in high-performance optical switch development. This role offers a unique opportunity to shape and deliver next-generation products that push the boundaries of high-speed optical communication. What You’ll Be Doing: • Lead and serve as the technical focal point for the integration of PHY system aspects and optical (CPO) electrical subsystems, ensuring their performance. • Hands on cross-disciplinary testing efforts and lab work, collaborating with system architecture, optics, silicon, thermal, mechanical, signal/power integrity, and software teams. • Characterization and testing of optical links using lab equipment (e.g., oscilloscopes, BER testers, optical spectrum analyzers and simulation tools). • Driving product scalability, working with internal partners—qualification teams to transition designs from prototype to high-volume production. • Documentation and reporting of design specifications, test results, and performance metrics. What we need to see: • B.Sc. in Electrical Engineering from a leading university or equivalent experience • 8+ years of relevant experience. • Strong analytical and problem-solving skills. • Excellent communication and collaboration abilities. • Enthusiasm for working on multidisciplinary projects. • Solid engineering intuition and understanding of physical trade-offs. • Ability to thrive in a fast-paced development environment. Ways to stand out from the crowd : • M.Sc./PhD degree in electrical engineering • Experience in high-speed Transceiver and PHY design is highly valued • Strong knowledge and experience in electro-optic communication or high-speed signals and analog circuits • Hands on experience with optoelectrical lab work and validation. 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, ambitious and enjoy having fun, then what are you waiting for apply today! 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.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA Israel IT Business Intelligence team is seeking a Senior Staff BI Analyst to join our team. We are in search of an individual with exceptional analytical skills and a profound understanding of information systems architecture. If you are highly motivated and seeking a place to make a significant impact with your career, we encourage you to explore this opportunity. What you'll be doing: • Leading the architectural design of complex, scalable data solutions for enterprise-level environments • Evaluating and implementing advanced technologies to drive innovation and enhance organizational analytical capabilities • Developing end-to-end Business Intelligence solutions, from requirements gathering to delivery, which includes requirements definition, modeling, data warehousing, data development, and creating analytics in visualization applications. • Collaborating closely with internal business and IT partners globally to analyze complex business problems and provide effective data-driven solutions. • Providing visualization solutions using tools such as Tableau, Power BI, and other in-house developed tools. • Designing and maintaining data models, ensuring data accuracy and consistency across the organization. • Creating and optimizing ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse. What we need to see: • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience. • A minimum of 10+ years of consistent experience in implementing full-cycle business intelligence projects, including requirements gathering, modeling, data warehousing, data development and creating analytics in visualization applications. • Expert-level knowledge of SQL with the ability to write complex queries and stored procedures efficiently. • Hands-on experience with at least one of the visualization tools like Tableau or Power BI. • Experience with cloud data platforms such as Snowflake or Databricks • A portfolio of successful Business Intelligence projects or case studies. • Excellent written and verbal English language skills. Ways to stand out from the crowd: • Functional knowledge of Operations and Supply Chain domains. • Hands-on experience with Python and PySpark for large-scale data processing, including experience with distributed computing and data transformation pipelines • Experience with LLMs, embeddings, vector databases or RAG workflows, implementation of AI solutions / algorithms for advanced data analysis – an advantage • A proven track record of designing complex data architectures and successfully implementing new technologies • Proficiency in Jira. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.