Nvidia

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads. What You’ll Be Doing: • Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products. • End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation. • System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools. • Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools. • Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery. • Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators. • Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions. What We Need to See: • Bachelors/master’s degree in computer science or computer engineering, or equivalent experience • 5+ years of experience in software testing, QA automation, or software engineering. • Strong proficiency in Python and scripting for automation. • Solid experience with Linux-based environments, including system tools and command-line utilities. • Proven understanding of computer networking and modern Linux operating systems. • Familiarity with software testing, integration, and system validation practices. • Excellent problem-solving, critical thinking, and communication skills. • Ability to work independently, manage multiple tasks, and drive technical initiatives. • Great interpersonal skills, agility, and determination for success. • Fluent English; strong presentation and public speaking abilities. Ways to Stand Out from the Crowd: • Deep technical know-how and familiarity with networking protocols or low-level system tools. • Experience with Docker, KVM, or other virtualization technologies. • Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and test reporting tools (e.g., Allure, Grafana, Kibana). • Experience with large HW+SW systems and advanced Linux OS technologies. • Proficiency with GIT, Bash, and other scripting languages. If you are creative, autonomous, and passionate about delivering world-class software solutions, we want to hear from you! Join us and work alongside some of the most forward-thinking and dedicated professionals in the industry. 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 seeking a Physical Verification Engineer to help ensure our ASIC and SoC designs are clean, correct, and ready for tapeout. This role focuses on physical verification quality across layout data, connectivity, and manufacturing rule compliance. You will work closely with physical design, custom layout, and methodology teams to run verification flows, debug issues, and improve signoff robustness. This is an excellent opportunity for an engineer who enjoys detailed analysis and high-impact signoff work. What you’ll be doing: • Run and analyze physical verification checks such as DRC, LVS, and other tapeout-quality signoff checks. • Debug physical verification violations and partner with design teams to drive clean closure. • Review layout, netlist, and runset interactions to identify root causes and recommend fixes. • Support full-chip and block-level verification readiness across implementation milestones. • Improve physical verification flow quality, turnaround time, and automation. • Collaborate with methodology, CAD, and foundry-facing teams on rule interpretation and signoff quality. What we need to see: • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or equivalent experience. • 2+ years of experience in physical verification, backend implementation, or VLSI signoff. • Strong understanding of DRC, LVS, antenna, and layout verification concepts. • Hands-on experience with tools such as Calibre, ICV, Pegasus, or equivalent physical verification tools. • Ability to debug verification issues across layout, extracted views, and netlist connectivity. • Scripting ability in Tcl, Perl, Python, or shell for automation and debug. • Strong collaboration skills and attention to detail. Ways to stand out from the crowd: • Experience with advanced-node signoff and foundry rule decks. • Familiarity with stream-out/OASIS or GDSII generation and tapeout readiness flows. • Experience improving PV automation, dashboards, or regression infrastructure. 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 looking for a creative and motivated Software Engineer to join our SONiC open source NOS team. Our team is responsible for the design and integration of SONiC across NVIDIA Networking products. In this role, you’ll have the opportunity to work on next-generation, high-speed networking solutions for AI data centers, contribute to open-source projects, and collaborate with experts across NVIDIA and the broader SONiC community. You’ll help lead the development of new SONiC networking features and chassis management capabilities across NVIDIA Networking products. We’re looking for someone who enjoys solving complex technical challenges, learning quickly, and collaborating in a dynamic and diverse team environment. What you’ll be doing: • Design, integrate, and deliver new features as part of the SONiC release train across NVIDIA Networking products. • Develop networking and chassis management capabilities for next-generation platforms. • Work in a Continuous Deployment environment with fast development and deployment cycles. • Collaborate with experienced teams across NVIDIA Networking and with members of the broader SONiC open-source community. • Develop high-quality, production-ready code that is published and reviewed in leading open-source environments. • Take ownership of features from design and implementation through integration and delivery. What we need to see: • B.Sc. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. • 3–5 years of software development experience. • Understanding of networking concepts and protocols. • Experience with C++ and Python • Experience using AI development tools or building AI agents. • Strong technical problem-solving skills and the ability to learn new technologies quickly. • A collaborative mindset with strong communication and interpersonal skills. Ways to stand out from the crowd: • Hands-on experience with L2 and L3 networking protocols. • Experience with SONiC, SAI, or other open-source networking projects. • Experience with Rust. • Familiarity with Linux and shell scripting. • Experience working with Scrum or other Agile development methodologies. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law. #LI-Hybrid ​

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 an inclusive, 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 outstanding software engineers to join the NVIDIA Run:ai core team. The team is responsible for building the next generation of GPU sharing and checkpoint-restore technologies within CUDA and the open-source ecosystem. In this role, you will design sophisticated low-level architectures and collaborate with global engineering teams across the entire GPU software stack, contributing to the CUDA ecosystem that powers AI and ML workloads across the world. What you'll be doing: • Work and design enhancements for CUDA libraries and system drivers • Contribute to open-source frameworks, engaging with the community and users • Build a complex multi-threaded modular architecture of low-level components that interact with the OS and each other in distributed environments • Effectively write efficient, maintainable, and well-tested code for Linux powered systems. • Develop a solution that can run on bare-metal, on-prem, and cloud environments (Docker containers, Kubernetes) • Work with other worldwide teams (software, hardware, architecture) What we need to see: • B.Sc, M.Sc or equivalent experience in Computer Science, Engineering, or a related field • 5+ years of “hands on” experience developing or maintaining user space libraries and frameworks, especially for the Linux OS • Proved programming skills in C, C++, or Rust • Good knowledge of operating systems concepts and primitives • Strong English written and oral communication skills to collaborate with other specialists or teams globally (worldwide). Ways to stand out from the crowd: • Collaborative team member with strong communication skills • End-to-end execution of robust technical solutions from design to production • Knowledge and understanding of virtualization and containerization technologies for cloud and on-prem environments • Familiarity with kernel and driver development • Hands on experience in one of: accelerated compute, CUDA development, HPC, Deep Learning & Machine Learning frameworks such as PyTorch 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/

At NVIDIA, we are committed to delivering exceptional solutions in a wide range of sectors, and we are looking for engineers who share our passion and dedication to making a difference in the world through their inventions. As a Senior Package Engineer, you will work closely with SI, layout, and ASIC design teams to develop complex, top-of-the-line ASIC packages. You will be responsible for planning schedules, resolving costs, packaging, manufacturing, and electrical design issues. What you'll be doing: • Lead adhesive and bonding process development for advanced FCBGA packaging, including surface preparation, surface coatings and process optimization for applications requiring optical alignment and high dimensional stability. • Design and execute Design of Experiments (DOE) for adhesive material qualification, process window definition, and process optimization including failure analysis. • Evaluate and qualify new materials (adhesives, encapsulants, underfills) from vendors including characterization of cure chemistry, thermal stability, and mechanical properties • Define and own incoming material acceptance criteria and statistical process control (SPC) thresholds for production readiness • Collaborate with partners and material suppliers to resolve process escapes, drive 8D corrective actions, and align on specification requirements • Prepare process documentation, assembly specs, and material qualification reports • Monitor and analyze production data to identify process trends, drive yield improvements, and ensure ongoing process control across OSAT manufacturing sites. What we need to see: • B.Sc. or M.Sc. in Materials Science, Chemical Engineering, or a related field • 7+ years of experience in process engineering, with hands-on expertise in adhesive process development. • Proven experience with failure analysis techniques: cross-sectioning, SEM/EDX, optical microscopy, DSC, TGA, and FTIR • Willingness and ability to travel internationally approximately 30% of the time to support OSAT partners, supplier qualifications, and on-site failure investigations • Ability to work independently in a fast-paced, multi-program environment • Curious and creative problem solver as well as organized and multi-tasker • Team oriented, able to move and motivate peers. Strong interpersonal skills (verbal and written) • High awareness of quality, manufacturability and project schedule Ways to stand out of the crowd: • Proven record in packaging development • Background in semiconductor manufacturing processes and optical systems

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

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We seek an SW Automation Engineer to join our Ethernet Switch SONiC Network OS. As a Automation Engineer at NVIDIA, you will have to work closely with NVIDIA’s development and architecture teams responsible for SONiC Network OS and gain a deep understanding of NVIDIA products and technologies. What you’ll be doing: • Participate in an international team of software engineers working on products for testing NVIDIA products • Design and implement robust, maintainable, and efficient automation test suite • Work with Continuous integration systems and regression tools, automate builds, and test suites, generate test reports, isolate and classify failures and review new degradation. • Innovate! Bring SONiC NOS to shine in customer's view What we need to see: • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field • 3+ years of experience as a Software Engineer • Intrinsically motivated with a desire for automation programming • Programming skills in Python • Strong technical abilities, problem-solving skills, coding, and design skills Ways to stand out from the crowd: • Linux knowledge: have a general understanding of Linux operation system concepts • Strong communication and interpersonal skills, with the ability to motivate and inspire others. • Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols • Prior software testing experience, with an understanding of Software Testing Tools and Methodologies, and python expertise. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We are now seeking a highly motivated Software Verification Manager to join our Switching group, working on SONiC Network OS. In this role, you will manage SONiC Verification team that will develop automatic tests and lead Regression analysis for SONiC OS running over switches. What you’ll be doing: • Lead and mentor SONiC Software verification team; set technical direction, define priorities, and grow team capabilities • Design and implement robust, maintainable, and efficient automated test suite for SONiC OS which is an open-source NOS • Lead regression analysis for SONiC NOS following regression automated tests • Cross-functional work with SONiC Design teams, QA, architecture, FW/SDK/SAI/platform teams What we need to see: • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field • 8+ overall years of software engineering experience, with at least 3 years of experience in a leadership role, managing software development teams • Proven ability to lead technical teams: hiring, mentoring, technical roadmapping, and cross-team influence • Experienced with developing software automated tests • Strong Python programming skills • Demonstrated experience designing and operating CI/CD systems at scale (Jenkins, GitLab CI, GitHub Actions, or equivalent) • Strong analytical and problem-solving skills with a bias toward measurable outcomes and data-driven decisions Ways to stand out from the crowd: • Deep Linux expertise: system internals, networking stack, process management, and scripting • Expertise in routing protocols • Experience with AI tools (Agents, Skills) With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

NVIDIA is at the forefront of high-performance computing, AI, and advanced networking. Our lab environments are the backbone of our engineering success, and we're growing our infrastructure and lab team to meet growing demand across internal development groups. This position is ideal for someone who thrives in a hands-on, fast-paced lab environment, with a passion for complicated systems, precision, and new technologies like liquid cooling. What You’ll Be Doing: • Operate and maintain lab infrastructure — including racking, cabling, servers, networking, and cooling systems • Perform physical racking, stacking, cabling, and cooling infrastructure setup • Install and maintain liquid cooling systems for lab equipment, including manifold connections, cold plate maintenance, leak detection, and coolant management • Provide first-line support to internal engineering teams, translating technical requests into executable infrastructure tasks • Maintain structured inventory and asset tracking, ensuring efficient lab operations and hardware allocation • Collaborate with cross-functional teams (QA, R&D, DevOps) to enable seamless lab support and system deployment • Document and implement standard operating procedures, safety practices, and hardware lifecycle policies • Implement solutions for automated workflows, equipment monitoring, and lab performance analysis What We Need to See: • Practical / BSc in Computer Science or Electrical/Electronic Engineer • 2+ years in infrastructure support, lab operations, or related hardware-based environments • Hands-on experience with liquid cooling technologies — installation, maintenance, and safety handling • Proficiency with Linux, bash scripting, and common IT troubleshooting methods • Familiarity with enterprise servers, networking gear, and servers management • Strong organizational, documentation, and time-management skills with attention to detail • Proficiency in independent work, prioritizing urgent tasks, and delivering under tight deadlines • Excellent English writing and oral communication skills Ways to Stand Out from the Crowd: • Experience with NVIDIA platforms, DOCA, or DPU labs • Knowledge of lab automation, DevOps pipelines, or CI/CD integration in test environments • Experience with liquid-cooled high-density racks or data center thermal optimization • Familiarity with inventory management systems and hardware documentation tools NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA encourages diversity at work and is an equal opportunity employer, not discriminating in hiring or promotions based on various characteristics protected by law.

NVIDIA is looking for a Software QA Engineer with a strong background in Networking and Automation to join our InfiniBand (IB) and NVLINK (NVL) Switch QA team. Our team is responsible for qualifying software stack for NVIDIA’s IB Switch, Router, Gateway and NVLINK systems, delivering world-class networking solutions. You will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated test suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems. What you’ll be doing: • Design, develop, and execute manual and automated tests as part of software stack releases. • Define, build, and manage testbed topologies for functional, regression, and performance validation. • Analyze architectural designs and feature requirements for new networking capabilities. • Debug failures, identify root causes, and verify fixes delivered by development teams. • Schedule test runs, track testing progress, and generate test status reports with detailed defect documentation. • Write and maintain automation tests across multiple frameworks (Python, Perl), enhancing test efficiency and scalability. • Collaborate with cross-functional global teams including R&D, product marketing, and system verification. What we need to see: • B.Sc. in Computer Science, Information Systems, Electrical Engineering, or related technical field. • 1-3 years of hands-on experience in the field of QA testing • Strong understanding of software testing methodologies, test planning, and bug lifecycle. • Hands-on experience in automation scripting (Python, Perl, or Shell) on Unix/Linux platforms. • Familiarity with networking concepts, protocols, and devices (e.g., switches, NICs). • Strong analytical and debugging skills with an eye for detail. • Clear verbal, proficient written and spoken English Ways to stand out from the crowd: • Experience in Python automation and working with source control tools (Git, Gerrit), Solid knowledge of Linux and kernel internals. • Hands-on experience with virtualized and mixed computing environments (KVM, VMware, Linux/Windows). • Experience using Generative AI platforms / LLMs such as Gemini, Claude, Copilot, etc. to develop tools powered by artificial intelligence. • In-depth understanding of TCP/IP, routing protocols, LAN switching, and data center topologies. • Exposure to QA methodologies, release management, and end-to-end test lifecycle. Familiarity with NVIDIA technologies such as Infiniband, NVLINK, GPUs is a strong advantage.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation fueled by great technology—and amazing people. We are seeking a Network Solution Verification Engineer to join our R&D organization, focused on validating NVIDIA's customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment. In this role, you will be a hands-on technical contributor at the intersection of networking, automation, and AI-driven validation — designing and implementing the simulation frameworks, agentic workflows, and regression pipelines that ensure NVIDIA's networking solutions meet the highest standards of quality and real-world applicability before reaching customers. What you'll be doing: • Designing and implementing end-to-end validation frameworks for NVIDIA's customer-facing networking solutions at scale, leveraging a dedicated E2E simulation cluster environment. • Writing, maintaining, and extending automated test suites and regression pipelines for networking protocols and large-scale simulation runs, ensuring repeatable, high-confidence validation outcomes. • Performing deep regression analysis on simulation results — identifying failure trends, isolating root causes, and delivering clear, actionable findings to architecture and design teams. • Developing agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code — continuously learning from simulation results and product changes to accelerate coverage without manual intervention. • Integrating validation pipelines into CI/CD workflows to enable continuous, automated regression at scale, working closely with DevOps and platform teams. • Collaborating closely with Design, Architecture, and NCS teams to understand solution requirements, translate them into simulation scenarios, and provide early-cycle quality feedback that influences product direction. • Analyzing customer-reported networking issues, mapping them to simulation coverage gaps, and building targeted test cases that prevent regression. • Continuously exploring new simulation technologies, agentic frameworks, and networking standards to evolve and improve the team's validation methodology. What we need to see: • B.Sc. degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field. • 3+ years of hands-on experience as a software developer. • Strong proficiency in Python for test automation, tooling development, and pipeline implementation. • Hands-on experience with network simulation or emulation tools (e.g., Containerlab, GNS3, SONiC testbeds, or equivalent platforms). • Proven experience designing and building simulation agents or traffic generators that mimic real-world networking behavior at scale. • Solid experience with agentic AI frameworks and LLM-based automation (e.g., LangChain, LangGraph, AutoGen, or similar) and practical ability to apply them to validation and test generation workflows. • Strong command of regression analysis methodologies — able to triage, classify, and extract actionable conclusions from large-scale test result datasets. • Comfortable operating in a fast-paced, cross-functional, multi-timezone engineering environment with strong verbal and written communication skills. Ways to stand out from the crowd: • Hands-on experience validating data center networking solutions or hyperscale network environments (spine-leaf, fat-tree, or Clos topologies). • Familiarity with NVIDIA networking products — BlueField DPUs, ConnectX NICs, Spectrum switches, or the DOCA software stack. • Deep understanding of networking protocols and architectures (e.g., BGP, EVPN, VXLAN, RDMA/RoCE, Ethernet, IP routing, L2/L3 switching). • Hands-on experience building agentic pipelines for automated test generation, result triage, or validation code synthesis — including prompt engineering and tool-use patterns for LLM agents. • Prior exposure to customer-facing solution validation or translating customer deployment scenarios into structured simulation test cases. With competitive salaries and a generous benefits package, NVIDIA is widely recognized as 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 our engineering teams continue to grow rapidly to meet extraordinary demand. If you are a technically driven engineer passionate about networking, simulation, and pushing the boundaries of AI-assisted validation, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status, or any other characteristic protected by law.

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 is seeking a dedicated Firmware Engineer to join our NIC Firmware Core team in Beer-Sheva/Tel-Aviv. You will contribute to the development of brand-new networking adapter technologies, elevating the performance of current and future NVIDIA devices. NVIDIA develops innovative and next-generation networking devices that are known for their outstanding performance and power efficiency. The position involves all aspects of firmware development, including design, micro-architecture, software interfaces, and verification. We are seeking a dedicated and motivated engineer who will contribute to the development of advanced technology Network Adapters. You will also have the opportunity to create features for leading cloud computing providers and high-performance computing networks. What you’ll be doing: • Take a part in the design, development, test, debug, and optimization of low-level firmware layer on next-generation network adapters up to package release • Analyze, integrate, support, and debug low-level firmware layer on verification environments • Collaborate with firmware, software, and architecture teams to analyze, design, and debug legacy and new low-level firmware flow • Improve our team processes including design and implementation of new methodologies, automated processes What we need to see: • B.Sc. degree in Electrical Engineering, Computer Engineering or Computer Science • Programming Knowledge in C/C++ • 0-3 years of professional experience • Great teammate, responsible and motivated Ways to stand out from the crowd: • Background in networking • Knowledge in Linux • Knowledge in scripting languages NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is dedicated to encouraging a diverse work environment and is an equal opportunity employer. We value diversity in our employees and do not discriminate in our hiring or promotion practices based on various characteristics protected by law.

NVIDIA is looking for an excellent Software Director for the Switch Nvlink and Infinband SW Group. You will join the NVIDIA switch verification team and take our product to the next level, working closely with HW, FW, and verification teams and gain a deep understanding of NVIDIA’s products and technologies. 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. What you'll be doing: • Be responsible for the verification and quality of features in switch OS, switch BMC and BSP Code • Define, develop and design process, manage teams of junior and experience SW engineers. • Work with a continuous integration system, regression tools A.I development systems • Be responsible for NVIDIA IB and Nvlink switch product work closely with the testing team, support team and customers. • Innovate! Bring NVIDIA's Switching products to shine in customer's view. What we need to see: • B.Sc. in SW / Computer / Electrical / Communication Engineering, or equivalent experience. • 15+ years of overall experience. • 7+ years of experience in managing medium teams (20 to 30 pepole) as second level manager or above • Hands-on experience in Python development. • Knowledge in Software / BSP verification. • Creative, motivated, and value-driven person. Ways to stand out from the crowd: • Experience with appliance systems, both in HW/SW. • Background with Networking applications and protocols. • Experience in verification and automation development. • Experience in leading SW development teams. • Ability to be hands-on and teach others on how to develop embedded SW.

NVIDIA is looking for an experienced HR Business Partner to join our Israel HR SW team and support senior leaders in a fast-growing, global technology environment. In this role, you will partner with business and leadership teams to translate business priorities into effective people strategies. You will combine strategic thinking with hands-on execution, supporting organizational effectiveness, leadership development, talent growth, performance management, employee experience, and retention. What you’ll be doing: • Partner with senior leaders and managers to understand business needs and build organizational capabilities. • Lead HR initiatives that support growth, hiring, talent development, performance, and employee retention. • Advise managers and employees on people-related matters, ensuring fair and balanced solutions. • Use people and business data to identify trends and recommend improvements. • Support annual performance and talent review processes. • Collaborate closely with global HR and corporate teams. What we need to see: • Bachelor’s degree required; Master’s degree is an advantage. • 10+ years of HRBP experience in a global, fast-paced organization. • Strong business partnership, communication, and stakeholder-management skills. • Analytical, data-driven approach; strong Excel skills. • Ability to manage multiple priorities, work independently, and thrive in a dynamic environment. • Experience with Workday is an advantage.

NVIDIA is looking for a Data Analytics Manager to join our Software Architecture team. We turn data from AI factories into insights that shape architecture decisions and improve cluster performance, reliability, and efficiency. You will lead our analytics team and own internal initiatives from identifying user needs through delivery and adoption. A central focus will be building and deploying AI agents for analytics—enabling architects and engineers to explore data, investigate sophisticated questions, and act on trusted findings. We seek a leader who combines analytical depth, product judgment, and the ability to turn ideas into capabilities people use. What you’ll be doing: • Hire, mentor, and lead an analytics team, setting technical direction, priorities, and standards for analytical quality. • Partner with architects, engineering, and cluster operations to define critical questions and lead analyses that explain system behavior, uncover bottlenecks, and quantify architectural tradeoffs. • Own the roadmap for internal analytics initiatives, translating user needs into requirements, priorities, and measurable outcomes, and driving delivery and adoption. • Lead the development, evaluation, and deployment of AI agents for data exploration, analytical reasoning, and automated investigation, contributing hands-on as needed. • Deliver reusable analytical capabilities, intuitive tools, and dashboards that support engineering and operational decisions. • Partner with data engineering to ensure the data coverage, quality, and context needed for reliable analysis and effective AI agents. What we need to see: • BSc./MSc. in a relevant technical field or equivalent experience. • 8+ overall years in data analytics or related technical roles • 4+ years leading and developing a team. • Strong hands-on expertise in SQL, Python, and distributed data platforms. • Experience building AI-powered analytical tools or agents, with methods for validating their accuracy and reliability. • Demonstrable ability in framing ambiguous problems, validating findings, and driving technical initiatives from requirements through delivery and adoption. • Excellent communication and prioritization skills, with the ability to align stakeholders across domains and influence decisions through evidence. Ways to stand out from the crowd: • Experience analyzing GPU-cluster telemetry, infrastructure performance, or reliability. • Experience in technical product management or ownership of internal data products. • Familiarity with semantic data models that connect infrastructure entities, telemetry, and operational context. • Experience deploying agents that combine data queries, statistical analysis, and domain knowledge, with demonstrated impact on users’ work. We offer competitive compensation and a comprehensive benefits package, with benefits varying by location. You’ll work alongside architects and engineers tackling complex challenges in AI infrastructure, with the opportunity to build a team and shape how we use AI and data to design better systems. We’d love to hear from you! NVIDIA is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to providing reasonable accommodations for candidates with disabilities throughout the application and interview process. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.

NVIDIA Networking division is looking for an excellent System Validation Engineer! NVIDIA 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. What you'll be doing: • Test Verification and Validation (both HW and SW). • Maintain products’ quality by improving test stability, coverage, design, and manufacturing process. • Execute tests in different scopes such: regression, performance degradation, functional, and security; report the progress of testing and provide summary reports of the activity. • Troubleshooting and streamlining/optimizing our testing procedures. • Support production matters. What we need to see: • BSc in electrical/computer Engineering or a related field with 3+ years of experience. • Experience in hardware/software validation. • Programming experience in one or more programming languages: Perl, Python, C, Cּּ++ • Strong automation/scripting skills • Coding experience, Understand the large Python project code and derive unit test. • A good knowledge of simulation flow and test automation development. • Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design. • Excellent interpersonal and communication skills in English Ways to stand out from the crowd: • Experience as a Verification Engineer. • Experience in high-speed electrical testing and Unit test • Background with production manufacturing flows. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees.

NVIDIA is looking for a technical program manager for product engineering organization, responsible for programs and project on various Network products. The PM will drive execution and scheduling of interconnect projects while aligning with corporate priorities and constraints. NVIDIA is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer best-in-class 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 product line is focusing on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our Datastream and TCP/IP acceleration. What you'll be doing: • Responsibility to coordinate between all project stakeholders such as HW, SW, operations etc, from initial requirements definition through delivery. • Work with project managers and engineers to ensure consistency with company strategy, commitments, and goals. • Responsibility for developing and implementing interconnect methodologies and Project management processes and tools. What we need to see: • B.Sc. in Industrial Engineering / Electrical Engineering • At least 8 years of experience in HW program management • Excellent program management skills – familiar with project management methodologies and tools • Ability to lead cross functional teams and initiatives • Good written and verbal communication skills in English • Personal skills: Team player, independent, responsible, capable of multi-tasking, ability to drive people and tasks, leadership qualities, excellent communication skills Ways to stand out from the crowd: • Having experience in HW development, design, and manufacturing. • Proven technical leadership. • Experience in customer facing roles. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We seek a V&V Engineer with a strong background in validation to join the Interconnect validation team. This position will be part of the Product Engineering team that crafts and integrates software tests for NVIDIA networking products into the production lines. You will handle various projects across teams, complete new lab setups, review the HW design, build validation plans, implement automated tests, perform manual scenarios, and report bugs. Are you passionate about attention to detail and taking ownership of end-to-end validation for NVIDIA interconnect products? Join our team and bring your expertise to life! What you'll be doing: • Collaborate with multi-functional teams across engineering, software development, and HW to identify test requirements • Define and build setup topologies for appropriate product coverage • Build a validation plan, complete, and integrate tests for the new interconnect products to address the business needs • Debug SW & HW failures during the validation and take action to address it • Report bugs found during validation, assist with reproduction, and debug to understand the root cause, and follow up to close it • Deploy the product validation into the nightly automation tests and track during the daily meeting What we need to see: • B.A./B.Sc. in Engineering Science or equivalent experience • 5+ years of experience in validation and system engineering • Hands-on experience with nightly runs and automated tests • Strong problem-solving, quantitative, and debugging abilities • Independent, responsible worker, able to plan and complete • Excellent communication and presentation abilities • Proficient in English, both written and spoken • Experience in validation for both HW and SW applications Ways to stand out from the crowd: • Background in HW validation and DFT • Experience in Post-Silicon validation • Experience with production lines and HW processes • Hands-On LINUX systems and programming experience in one programming language (Python, C#) • Experience in Data Analysis NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! 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.

NVIDIA's NVLINK HW team designs innovative end-to-end connectivity solutions for GPU servers. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. 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: • Lead Pioneering Switch System design from concept to mass production • Collaborate and integrate with all HW project fields: Board Design, Mechanics, Thermal, PCB Layout, Production, Software/Firmware, RTL and more • Project decision maker - Technical focal point • The position consists of product specification definitions, electrical schematics, component selection, layout guidance, hands-on testing in a lab environment, accompanying production and qualification processes What we need to see: • B.Sc. in Electrical Engineering (or equivalent experience) • 5+ years as a board designer, experience in complex HW projects execution • Proven experience in leading multi-disciplinary projects • Hands-on lab skills • Multi layer PCB design knowledge • 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 (25Gb/s and above) • Knowledge in advanced PCB technology • Experience in leading customers conversations, understanding product requirements 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.