NVIDIA

Engineering

NVIDIA

Systems Software Manager, CPU

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 seeking a Systems Software Manager to lead our Taiwan Tegra MODS team. The team develops diagnostic software that enables NVIDIA data center products to progress through hardware bring-up, validation, and production. You will combine people management with hands-on technical leadership, helping engineers solve complex problems and deliver reliable diagnostic software. Working with architecture, hardware, firmware, and global software teams, you will shape the team’s technical direction, strengthen its capabilities, and drive consistent execution across a broad range of data center product programs ## What you’ll be doing: Lead, mentor, and grow a systems software engineering team, supporting recruitment, performance management, career development, and the growth of technical leaders. Own planning and delivery for the Taiwan Tegra MODS team, balancing new feature development, platform enablement, software quality, and urgent program needs. Guide development of diagnostic tests for CPU and DC platforms, from requirements and design through implementation, validation, and maintenance. Provide technical direction through architecture discussions, design and code reviews, and hands-on debugging when needed. Partner with hardware, firmware, and architecture teams to understand new features, define diagnostic requirements, and resolve issues during platform bring-up. Drive complex investigations to closure, establishing clear ownership, actionable debug plans, and regression tests that prevent recurrence. Coordinate with global development teams to manage dependencies, share expertise, and maintain reusable software across platforms. Improve development practices, automated testing, and release readiness. Apply AI-assisted tools where they measurably improve productivity and quality. Communicate priorities, progress, technical risks, and resource needs to stakeholders, partners and customers. Adopt AI tools to improve team's efficiency and quality ## What we need to see: Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. 8+ years of relevant systems software development experience, including 3+ years of engineering people management. Strong C/C++ programming skills and experience designing, reviewing, and debugging complex software. A solid foundation in operating systems, computer architecture, and low-level software development. Experience with device drivers, hardware interfaces, or diagnostic software in a large modular codebase. Demonstrated ability to lead technical execution, prioritize competing demands, and develop engineers. Strong problem-solving, planning, and communication skills, including collaboration across geographically distributed teams. ## Ways to stand out from the crowd: Experience with CPU and platform diagnostic frameworks. Strong knowledge of ARM-based SoCs and Linux kernel internals. Experience with CPU and memory subsystems, interrupts, DMA, PCIe, or other SoC interfaces. A track record of supporting early hardware bring-up and driving issues across hardware, firmware, and software boundaries. Experience improving test coverage, regression automation, and diagnostic reliability. 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, or disability status.

Taiwan, Taipei

Technology

NVIDIA

Manager, Software Verification

NVIDIA is seeking an experienced and technically strong Engineering Manager to lead the DOCA SDK Verification team. The team is responsible for validating the NVIDIA DOCA SDK, ensuring the quality, reliability, and scalability of developer-facing APIs and libraries powering NVIDIA BlueField DPUs, SuperNICs, and next-generation networking platforms. In this role, you will lead and grow a team of highly skilled verification engineers and working closely with software architects, developers, and product teams to ensure the successful delivery of cutting-edge NVIDIA hardware and software solutions. Your team will help enable the software infrastructure powering AI, cloud, networking, and accelerated computing workloads running in modern data centers. This is a leadership role combining people management, technical strategy, execution, and cross-functional collaboration across multiple engineering organizations. What you'll be doing: Lead and grow a team of software verification engineers responsible for validating the NVIDIA DOCA SDK. Design comprehensive test plans and implement functional, integration, and system-level tests for new SDK capabilities. Define the team's technical roadmap, verification strategy, and automation priorities to ensure high product quality and release readiness. Partner closely with SDK developers, architects, product management, and DevOps teams throughout the software development lifecycle. Drive the development of scalable C++ verification frameworks and automation infrastructure that enable efficient feature validation. Foster a culture of technical excellence, ownership, continuous learning, and engineering quality. What we need to see: Bachelors Degree in EE, CS or CE or equivalent work experience 3+ years in a managerial position with hands on experience with the software development lifecycle and 8+ years of overall experience Strong technical background in modern C++ software development, software architecture, and Linux-based systems. Experience leading teams developing automated test frameworks, software quality methodologies for complex software products. Excellent communications skills, self-motivated and well organized. Ways to stand out from the crowd Familiarity with DOCA, BlueField DPUs, SmartNICs, GPUs or data center infrastructure software. experience leveraging AI tools Experience in CI methodology & servers (e.g. Git/Gerrit, Jenkins etc.) NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our FW Verification team and help us build future interconnect architectures that will continue to drive us forward in the fields of High-Performance Computing, Graphics, AI and Networking. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Israel, Yokneam

Technology

NVIDIA

General Account Manager CEE

Would you like to be a part of one of the most exciting companies in technology? NVIDIA the world leader in Visual and Accelerated Computing, is seeking an Account Manager for our inside sales organization with a consistent record in selling complex technology solutions to our customers. This full-time position requires close working relationships with NVIDIA solution architects and business development leaders to drive revenue for the company. If you have a passion for how technology is driving multifaceted changes in exciting segments like Artificial Intelligence, Deep Learning, Cloud and Sophisticated Software Development, we'd like to talk with you! What you'll be doing: Attain a minimum of 100% Quota attainment selling to Enterprise Accounts Maintain and submit accurate forecasts Qualify new opportunities, present NVIDIA solutions, overcome objections, negotiate and close business over the phone & TEAMS Team with NVIDIA Channel, Field Sales & Marketing to build your business and facilitate sales opportunities Build direct relationships with customers and work closely with channel partners to grow sales within territory Lead all aspects of the selling cycle to help customers expand revenue Develop excellent strategic relationships with customers to understand their software and computing needs Have an understanding and clear delivery of NVIDIA value proposition, key features, product messages, and positioning What we need to see: Fluency in Polish and English Languages – (Based out of Warsaw, Poland). 4+ years of inside sales experience, and technology quota carrying sales experience responsible for the full sales cycle (prospecting, customer presentation/demos, negotiating, and closing the sale) Proven success in rolling up a forecast to sales leadership Experience with going to market and teaming with Technology Industry Channel Partners Excellent communication (interpersonal and presentation) and closing skills, and have successfully applied these in an inside sales environment Exceptional customer and channel partner relationship skills Skilled at selling in a Cloud environment including working with CSP, ISV, and end-user customer Bachelor’s degree or equivalent experience Salesforce.com experience is required Light travel requirements (approximately 5%) Ways to stand out from the crowd: Adept at balancing intense short-term pressures with overall long-term goals Excellent listening skills and ability to persuade -- using communication that convey concepts in a creative way Passionate for sales and building positive relationships with customers and channel partners Understanding of data science workflows, modern machine learning and AI trends. * Any additional European languages would be a benefit. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Poland, Warsaw

Sales & Business Development

NVIDIA

Senior IC Foundry Engineer

NVIDIA Networking is excited to announce an outstanding opportunity for an IC Foundry Engineer to join our IC Product Engineering team in Israel. At NVIDIA, we flourish with innovation and modern technology. The ICs are at the forefront of the technology node, leading the industry in early adoption of the most advanced processes. This position combines complex data analysis of various IC parametric measurements, close work with internal groups from various fields (Build, backend, layout and analog teams, Operations, IC test, Reliability, Characterization etc.) and close interaction with the foundry engineering teams. This position suits someone passionate about semiconductor manufacturing, yield optimization, and working with world-class teams to deliver flawless performance. What you'll be doing: Drive yield and performance improvements across advanced nodes. Serve as the key interface between NVIDIA and foundry partners, leading technical communication and driving issues to full containment. Collaborate in a matrix structure and multiple domains for comprehensive product optimization. Develop and apply data pipelines to identify yield limiters and process excursions. Build automated monitoring and alerting frameworks to proactively detect process drift. What we need to see: B.Sc. in Electrical Engineering, Materials, Physics, Chemical Engineering, or equivalent experience. 5+ years of proven experience in Process, Integration, Device engineering, or Semiconductor manufacturing. Strong knowledge of FAB processes, integration flows, device behaviour, and quality metrics. Outstanding problem-solving and data analysis skills. Experience with large datasets and correlation methodologies. Ability to multitask, prioritize, and complete tasks under pressure. Strong communication and presentation skills. High ownership, autonomy, and accountability. Familiarity with scripting/programming (Python or similar) for data analysis and workflow automation. Passion for data systems, automation, and applying AI/ML techniques to engineering problems. Ways to stand out from the crowd: Experience working directly with FAB or Silicon technology supporting systems (inspection tools, OSAT, etc.). Hands-on experience with data analysis tools (e.g., JMP). Experience with visualization tools (e.g., Tableau, custom Python dashboards). Experience building or using ML models for yield prediction, defect classification, or process control. Familiarity with data platforms or semiconductor-specific data ecosystems.

Israel, Yokneam

Engineering

NVIDIA

Senior NPI Engineering Build Manager

We are seeking an NPI Engineering Build Manager who is passionate about working on products that enable deep learning. Our team manages the NPI networking supply chain for engineering activities. Activities start from very early engagement with design engineering team and follow through all quick turn NPI builds at the shortest possible cycle time. Our team supports all these engineering quick turn activities by engaging with the engineering team, material suppliers, Operations team, and the PCB manufacturing team. All the parties need to be kept aligned while engineering keeps changing either the material sets or the process. We are looking for someone can work in a dynamic and fast-changing environment. You are someone who enjoys working on groundbreaking technology and enjoy working with people to take on problems. As a Build Project Manager, you are able to see both the high-level view and be proficient in tracking and following up on detail whether it is an existing product that requires new qualifications or a ground up new product. We will expect you to understand technical detail and be able to translate that into program impact. What you'll be doing: Build project's production plan per product's lifecycle, and execute it with NV manufacturers Communicate with other team members and suppliers to get project details. Flexibility to adapt to changing requirements, diverse project needs, and tight timelines. Ability to report on program details in Alignment meetings. Track and communicate key deliverables, constraints, risks, dependencies and clearly identify critical paths while working with ASIC, product, test, software, board, system engineering and planning teams and other program managers towards a common goal. Manage cross-functional communications independently, work within a matrixed and publish progress/roadblocks and highlight risks to upper management. Bring diverse and globally distributed teams together to tackle complex problems and work towards closure. Lead and attend cross-functional NPI meetings related to your product and highlight key Ops issues while ensuring that the product is ready for production. Be an active participant in the NPI team by recommending methodology improvements that we can practice as a team. What we need to see: B.Sc. in Industrial Engineering, or equivalent experience 5+ years experience in a similar role, preferably within an engineering, manufacturing/operations environment Ability to track multiple projects simultaneously. Good interpersonal skills are important to your success and knowing when to engage stakeholders for making decisions or resolving issues. Excellent leadership, communication, problem-solving, decision-making, and cross-functional influencing skills. Ability to analyze and solution supply chain processes. Excellent knowledge of semiconductor manufacturing flow and processes with proven program management capability. Concise and actionable communications are also important. Ways to stand out from the crowd: Prior experience in semiconductor, interconnect, board, or system NPI. Working knowledge of SAP Strong collaborative and social skills, and ability to effectively guide and influence within a dynamic, multifaceted environment. * Multifaceted environment NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're a creative manager, with a real passion for managing teams to deliver cutting-edge processors, we want to hear from you! Come, join our CPU Architecture team, and help build the real-time, cost-effective computing platform driving our success across multiple quickly growing fields ranging from the data center to autonomous vehicles.

Israel, Yokneam

Engineering

NVIDIA

Israel, Raanana | Israel, Tel Aviv

Senior Software Engineer, SONiC

NVIDIA is looking for a creative and motivated Senior 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. 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

Engineering

NVIDIA

Senior System Software Engineer, Autonomous Vehicles

Join the NVIDIA's Tegra Solutions Engineering team that is reshaping the future of driving! Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. We are looking for solutions architects, who are experts, trusted technical advisors and leaders to our partners and customers, that believe in deep learning, data science, and artificial intelligence will transform autonomous driving. We need individuals who can enable customer productivity, develop positive relationships with our technology partners and collaborate with internal teams to develop the best solutions for partners working on our platform. NVIDIA is widely considered to be one of the technology world’s most desirable employers, and is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you! ## What you'll be doing: Lead vehicle software integration and bring-up activities, collaborating with internal and external partner teams to develop and launch autonomous vehicle solutions. Drive use case analysis, functional requirements' definition, critical metric definition and testing of ADAS features Examine and diagnose the key factors driving these metrics, uncover trends, and prioritize engineering initiatives that will most improve the product experience. Customize, reconfigure and rebuild processing pipelines in the software stack. Integrate hardware and software components efficiently and build scalable solutions alongside our partners Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy solutions to our customers. ## What we need to see: Well-rounded knowledge of how an autonomous vehicle stack—or any similarly complex system—functions, and real-world experience solving the challenges of bringing diverse components together into a scalable solution 5+ years of work related experience in software development related to embedded systems and/or autonomous driving technologies. BS/MS in computer science, robotics, electrical engineering, or related technical field (or equivalent experience). Excellent C/C++ development skills with good knowledge of Python. Established proficiency in system performance and complexity evaluation to optimize the system and resolve application issues. Experience with automotive design processes and standards (e.g. ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE), including in-vehicle testing, simulation and development guided by measurable outcomes. Ability to adapt to fast paced development lifecycles and multi-functional organizations, new technologies and platforms. Strong analytical skills, strive for innovative solutions, with outstanding attention to details. ## Ways to stand out from the crowd: Familiarity of NVIDIA DRIVE platform and NVIDIA GPU hardware and CUDA programming. Software development experience on QNX or equivalent RTOS. Prior experience in application development and familiarity with middleware frameworks and intricate system-level integrations. Experience as ADAS software engineer at a Tier 1 or OEM * In-vehicle networking and application frameworks: CAN, Flexray, Ethernet, Some/IP, Classical and Adaptive AUTOSAR.

Korea, Seoul

Engineering

NVIDIA

Manufacturing Automation Solution Intern - 2027

We are excited to offer an outstanding opportunity for a Manufacturing Automation Solution Intern - 2027 to join our world-class team at NVIDIA! This role is perfect for an ambitious individual looking to make a significant impact in the field of industrial automation and Physical AI. This role involves leading efforts in industrial automation and Physical AI with Omniverse by NVIDIA and OpenUSD frameworks. You will transform complex physical automation equipment, test cells, and robotic systems into accurate digital twins. You will collaborate with mechanical, test, and software groups to develop the future of industrial production based on Omniverse. If you are enthusiastic about 3D graphics, physics simulation, robotics, and bringing code to life with kinetic motion, this role is an excellent platform to begin your career. What you will be doing: Clean up, lightweight, and render industrial CAD models into the NVIDIA Omniverse platform, building standardized, high-fidelity OpenUSD 3D digital assets. Define OpenUSD asset standards (scene hierarchy, PhysX materials, semantic schemas) for automated equipment in Omniverse, opening them to ecosystem partners to build a unified asset ecosystem. Establish virtual testing and interference review standards in Omniverse; evaluate facility footprint and maintenance limits, directing vendors to deliver compliant scenes and equipment models within Omniverse. Formulate simulation and Cycle Time (CT) demo examples and evaluation standards for axis/robotics in NVIDIA Isaac Sim / PhysX. This drives vendors to improve CT and remove efficiency bottlenecks virtually in Omniverse. Define communication interface standards (OPC UA/Modbus) using Omniverse Python APIs. Connect the equipment software platform with controllers. Guide vendors to plug into Omniverse for Software-in-the-Loop (SIL) commissioning. Build digital twin reference implementations by ingesting real-time sensor and machine telemetry data into NVIDIA Omniverse. Establish standardized technical frameworks and API guidelines to empower and guide vendors in replicating live 3D sync and supervising across their own equipment. Fully bring to bear NVIDIA Omniverse technologies and ecosystem capabilities to translate Physical AI into real-world industrial efficiency, exploring emerging business models for digital twins in automation. What we need to see: Currently pursuing a degree (BS or MS) in Computer Science, Automation, Robotics, Mechatronics, Software Engineering, or a related technical domain. Strong Python programming skills (Required; ability to write clean, object-oriented scripts and APIs). Familiarity with Linux environments and common industrial communication protocols (e.g., OPC UA, Modbus, TCP/IP) is preferred. Practical experience with at least one 3D simulation or game engine (e.g., NVIDIA Omniverse, Isaac Sim, Unreal Engine, Unity) or 3D CAD software (SolidWorks, Creo, NX, Blender, etc.). Excellent analytical problem-solving skills; strong cross-functional communication approach to collaborate effectively with mechanical engineers, omniverse developers, and third-party equipment vendors. Skilled in both Chinese and English, capable of independently guiding and engaging in technical business discussions in English. Ways to stand out from the crowd: Practical experience working directly with NVIDIA Omniverse and its essential ecosystem components, including Isaac Sim (robotics & automation simulation). Familiarity with Pixar OpenUSD structures is a strong plus. Familiarity with industrial control software or automation equipment software is preferred. Practical project experience in software/hardware communication setup via OPC UA, Modbus-TCP, MQTT, or WebSockets; familiarity with Software-in-the-Loop (SIL) virtual commissioning workflows. * Strong engineering standardization approach with the ability to distill reference implementations from practical projects. Write structured API documentation and standard specifications. Empower external vendors and ecosystem partners. Join us at NVIDIA and help build the future of industrial automation with innovative technology!

China, Shenzhen

Engineering

NVIDIA

Israel, Raanana | Israel, Tel Aviv

Distinguished AI Researcher, Advanced Development Engineer

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology and extraordinary people, NVIDIA is looking for a Distinguished Engineer to help shape the future of AI infrastructure. As part of our advanced development and research efforts, you will drive technical vision and innovation across the AI software stack, spanning GPU computing, RDMA, NVLink, storage, and large-scale distributed systems. You will research next-generation system designs, influence product and platform direction, and help define how massive-scale AI environments are built, optimized, and operated through hardware-software co-design. What you’ll be doing: Research, define, and drive co-design solutions across AI software stacks involving GPU computing, RDMA networking, NVLink interconnects, storage, and large-scale distributed infrastructure Lead deep technical investigations and proof-of-concept development in areas related to distributed AI, deep learning systems, high-performance computing, virtualization, memory management, and large-scale systems design Work closely with multiple teams across NVIDIA to advance next-generation AI infrastructure technologies and influence cross-stack co-design decisions Analyze end-to-end system bottlenecks and opportunities across compute, networking, memory, and storage layers to improve performance, scalability, and efficiency Guide the design of environments that support massive-scale AI training and inference workloads in production What we need to see: M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience 20+ years of industry experience in systems design, distributed systems, system software, or related fields Chief Scientist, CTO, or equivalent senior technical leadership experience in smaller companies is highly desirable Deep background in distributed systems, parallel computation, networking, storage, virtualization, and memory management Experience building, scaling, and supporting environments for massive AI workloads Strong understanding of large-scale systems operational aspects, including performance, reliability, scalability, and supportability Excellent communication, collaboration, and technical leadership skills in a multi-national, multi-time-zone environment Ways to stand out from the crowd: Proven research track record in AI systems, large-scale infrastructure, or advanced systems co-design Deep expertise in GPU systems, RDMA, NVLink, and storage technologies for AI and HPC workloads * Strong record of cross-functional influence spanning hardware, system software, networking, and infrastructure NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous, and excited to drive the future of AI infrastructure at scale, 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.