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Senior Software Architect - Deep Learning and HPC...
NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build communication libraries like NCCL, NVSHMEM, and UCX that are crucial for scaling Deep Learning and HPC. We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software. DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision? What you will be doing: - Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. - Design and implement new communication technologies to accelerate AI and HPC workloads. - Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects. - Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations. - Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs) What we need to see: - M.S./Ph.D. degree in CS/CE or equivalent experience. - 12+ years of relevant experience. - Excellent C/C++ programming and debugging skills. - Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC). - Deep understanding of operating systems, computer and system architecture. - Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads. - Strong experience with Linux. - Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: - Expertise in related technology and passion for what you do. Experience with CUDA programming and NVIDIA GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc. - Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications. - Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 16, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Accelerated Computing Architect
We are now looking for a Senior Accelerated Computing Architect! NVIDIA is developing software and system architectures for accelerated high performance computing, scientific computing, machine learning, AI, datacenter, and automotive computing. This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company. What you'll be doing: - Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs. - Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs. - Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications. - Actively collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing. - Diving into accelerated computing applications to facilitate software-hardware co-design. - Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate. What we need to see: - An MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience - 6+ years of relevant work experience - Strong mathematical fundamentals, including linear algebra and numerical methods. - A passion for performance optimization. - Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL. Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus. - Strong knowledge of C and C++ with solid understanding of software design, programming techniques, and algorithms. Familiarity with threading APIs for multicore CPUs and Unix-style Inter-process Communication (IPC) APIs is a plus. - Familiarity with Python is a plus. - Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. - NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of pushing an architecture to its limits? If so, we want to hear from you.
Product Test Hardware Engineer
We are looking for a creative and independent Product Test hardware Engineer in Hsinchu, Taiwan. NVIDIA's invention of the GPU 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI— the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company and grow with the smartest people in the world! Make the choice to join us now! We need a creative people who can help to manage the test production line (OSAT), sustain the test program, enhance the test yield, improve the test quality cross all devices which include GPU, self-driving devices, AI-computing chips. What you'll be doing: - Work on mechanical design with vendor for ATE HW and qualification for NPI and production. - ATE HW quality control and improvement. - Standardize production process flow / data management, building up robust system to support DFM. - Investigate operation HW related issue and problem solving. - Co-work with functional team to improve operation efficiency. - Evaluate new thermal material and application to improve thermal performance. - Act as a link between planner team and our key chip subcontractors to ensure the daily and weekly production schedule get performed as planned. What we need to see: - MS degree on Electrical and Electronic or Mechanical with min. of 3+ years of working experience is helpful. - Good interpersonal communication skill, good English in verbal/written. - Experience in operation in wafer sort and final test is vital. - Export in change kit and socket design will be plus. - Experience in CP/FT/CPO operation process improvement is good. - Good problem-solving, teamwork, organizational, and quantitative skills. Ways for you to stand out from the crowd: - Demonstrate consistently the ability to work with teams on fixing real operational problems to hit the goals. - Lead internal and external team members to establish preventive action plans that can improve the overall performance of the company. - Good time management skill. 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.
Manager, Software Engineering - AI Infrastructure
Join NVIDIA's Cloud Solution HPC/AI Infrastructure Team! Are you passionate about cutting-edge technology and innovation? NVIDIA is looking for a Software Engineer Manager to join the NCS (Network Cluster Solution) Software Infrastructure team. As a Software Engineer Manager, you'll be part of leading the development efforts of software automations and services/applications for NVIDIA’s Data Center environment. Are you ready for the challenge? What You'll be doing: - Lead and mentor a team of software engineers; set technical direction, define priorities, and grow team capabilities - Design and develop automation platform used to provision, configure, and monitor HPC data centers. - Collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions. - Troubleshoot issues in distributed environments and contribute to system observability and reliability improvements. - Work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases. - Lead the team’s code review process, technical design discussions, and continuous improvement activities. What We Need to See: - B.Sc. degree or equivalent experience in Engineering/Computer Science/related field - 6+ 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 road mapping, and cross-team influence - Strong programming skills, with a clear motivation for automation and tooling. - Strong technical abilities, problem solving, design and debugging skills. - A team player with good communication and interpersonal skills. At NVIDIA, we value diversity and are committed to creating an inclusive environment for all employees. 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 provide reasonable accommodations to ensure all individuals can participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.Join us and be part of a team that's pushing the boundaries of technology and making a real impact in the world.
Software Engineer, Metropolis Vision AI
NVIDIA's technology is at the heart of the AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, co-pilots, and more. Join us at the forefront of technological advancement in intelligent assistants and information retrieval. Metropolis is transforming how the physical world is perceived and understood using advanced computer vision and deep learning. Our team builds large-scale distributed Vision AI platforms that power intelligent spaces, smart cities, retail analytics, and digital twins. This role offers the opportunity to c ontribute to core components of a strategic platform with high visibility and real-world impact. As a System Software Engineer for Vision AI, you will develop and optimize high-performance vision systems that turn massive streams of video, image, and 3D data into actionable insights. You will collaborate with specialists in perception, simulation, and large models to bring research into production at scale. What you’ll be doing: - Implementing high-performance Metropolis Vision AI pipelines for real-time and streaming scenarios using computer vision and deep learning models. - Developing large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings. - Assisting to multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes. - Using simulation and synthetic data tools to build, test, and validate perception algorithms at scale. - Profiling GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets. - Collaborating with partner teams to implement technical builds. - Participating in technical reviews and contributing to guidelines for code quality and testing. What we need to see: - BS or MS in Computer Science, Electrical Engineering, or a related field, or equivalent experience. - 2+ years of professional software development experience using modern C++ (14/17/20) and Python on Linux. - Strong computer science fundamentals, including algorithms, data structures, concurrency, and distributed systems concepts. - Experience in computer vision and deep learning. - Experience in implementing concurrent systems, including multi-threading, asynchronous I/O, and efficient memory management. - Experience in Linux-based environments with containers and microservices, integrating AI components into scalable back-end services.. - Practical experience with PyTorch in training, fine-tuning, and deploying models for vision tasks. - Strong analytical and problem-solving skills, with a data-driven approach to performance optimization and system build. - Excellent written and verbal English communication skills, with demonstrated success collaborating across time zones and functions. Ways to stand out from the crowd: - Practical experience implementing end-to-end computer vision applications in production, such as video analytics, smart cities, autonomous systems, retail analytics, industrial inspection, or digital twins. - Practical experience with low-level optimization for inference and pre/post-processing. - Experience in simulation and synthetic data creation employing tools such as Omniverse, Unreal Engine, Unity, or similar digital-twin platforms.. - Background in multimedia, including video-centric processing and delivery (such as codecs, video pipelines, or media frameworks) and integrating vision models into multimedia workflows.
Senior System Software Engineer - AI Data Platform...
Our team is building the foundational infrastructure that powers NVIDIA's cutting-edge innovations in AI and high-performance computing. We are seeking a Senior Software Engineer to design, build, and optimize highly scalable and reliable automation systems that ensure the peak performance and seamless deployment of our core software offerings across a diverse ecosystem. This is an opportunity to directly impact how AI models and complex applications are validated, tuned, and delivered globally, from cloud environments to on-premises data centers and specialized hardware. What you’ll be doing - Develop efficient infrastructure and tools for automating complex software processes. - Drive Performance Optimization: Implement advanced test harnesses, benchmarking frameworks, and analytical tools to rigorously characterize and optimize the performance and efficiency of our software and hardware platforms. - Apply deep knowledge of operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to build and troubleshoot highly performant systems. - Work with engineering teams to understand needs, define requirements, and deliver efficient solutions. - Set performance goals, monitor feedback, analyze data, and make continuous improvements for system reliability. - Influence Technical Strategy: Contribute to defining technical strategies and roadmaps for our platform automation initiatives, ensuring alignment with company-wide goals and standard methodologies. What we need to see - Bachelor's or equivalent experience in Computer Science, Computer Engineering, or a related technical field, or Master's degree or equivalent experience in a similar field. - 5+ years of industry experience in software development, focusing on infrastructure, distributed systems, automation, and/or performance engineering. - Expertise in System-Level Programming: Proven ability to develop robust tools and automation using programming languages such as C++, Python, or Go. - Deep Understanding of System Software: Experience with operating system internals, device drivers, memory management, and debugging performance issues in complex compute applications. - Distributed Systems: Experience in designing, building, and operating large-scale distributed systems, with knowledge of networking protocols, cluster management, and high-performance interconnects. - Automation and CI/CD Proficiency: Experience building and maintaining automated testing, benchmarking, and continuous integration/continuous deployment pipelines. - Problem-Solving and Analytical Skills: Outstanding analytical, problem-solving, and debugging skills, with a track record of resolving complex technical challenges. - Collaboration and Communication: Excellent interpersonal and communication skills, with the ability to articulate complex technical concepts to diverse audiences and collaborate effectively across teams. Ways to stand out from the crowd - Experience optimizing performance for AI/Machine Learning workloads, especially inference applications, on diverse hardware platforms. - Prior experience building or contributing to large-scale compute infrastructure solutions in cloud environments or on-premises data centers. - Experience with containerization and orchestration technologies, such as Docker and Kubernetes. - Familiarity with performance profiling tools and methodologies for hardware and software systems. - Track record of driving significant efficiency gains or architectural improvements in large-scale systems. 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.
Senior Software Engineer, Metropolis Vision AI
NVIDIA's technology is at the heart of the AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, co-pilots, and more. Join us at the forefront of technological advancement in intelligent assistants and information retrieval. Metropolis is transforming how the physical world is perceived and understood using advanced computer vision and deep learning. Our team builds large-scale distributed Vision AI platforms that power intelligent spaces, smart cities, retail analytics, and digital twins. This role offers the opportunity to c ontribute to core components of a strategic platform with high visibility and real-world impact. As a System Software Engineer for Vision AI, you will develop and optimize high-performance vision systems that turn massive streams of video, image, and 3D data into actionable insights. You will collaborate with specialists in perception, simulation, and large models to bring research into production at scale. What you’ll be doing: - Implementing and optimizing high-performance Metropolis Vision AI pipelines for real-time and streaming scenarios using computer vision and deep learning models. - Developing and refining large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings. - Contributing to multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes. - Using simulation and synthetic data tools to build, test, and validate perception algorithms at scale. - Profiling and tuning GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets. - Collaborating with partner teams across product, research, and platform to translate requirements into clear technical builds and robust implementations. - Participating in technical reviews and contributing to guidelines for code quality and testing. What we need to see: - BS, MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience. - 8+ years of professional software development experience using modern C++ (14/17/20) and Python on Linux. - Strong computer science fundamentals, including algorithms, data structures, concurrency, and distributed systems concepts. - Experience in computer vision and deep learning, with a history of deploying production systems in these fields. - Experience building and debugging high-performance, concurrent systems, including multi-threading, asynchronous I/O, and efficient memory management. - Proficiency working in Linux-based environments with containers and microservices, integrating AI components into scalable back-end services. - Ability to rapidly prototype vision models and pipelines, then evolve them into production-quality services. - Practical experience with PyTorch in training, fine-tuning, and deploying models for vision tasks. - Strong analytical and problem-solving skills, with a data-driven approach to performance optimization and system build. - Excellent written and verbal English communication skills, with demonstrated success collaborating across time zones and functions. Ways to stand out from the crowd : - Practical experience delivering end-to-end computer vision applications in production, such as video analytics, smart cities, autonomous systems, retail analytics, industrial inspection, or digital twins. - Practical experience with GPU acceleration (such as CUDA, TensorRT, or comparable technologies) and low-level optimization for inference and pre/post-processing. - Experience in simulation and synthetic data creation employing tools such as Omniverse, Unreal Engine, Unity, or similar digital-twin platforms. - Background in vision-language models or related multi-modal AI, including integrating these models into real products. - Background in multimedia, including video-centric processing and delivery (such as codecs, video pipelines, or media frameworks) and integrating vision models into multimedia workflows.
Senior HPC DevOps Engineer
NVIDIA is looking for an experienced HPC DevOps and Network Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence and GPU computing. Your expertise will drive the latest breakthroughs, providing insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. What you’ll be doing: - Innovate and Implement: Design, implement, and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems. - Infrastructure as Code (IaC): Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments. - Streamline CI/CD Pipelines: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes. - Automate Everything: Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring. - Develop complex Networking automations. - Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency. - Lead and Educate: Serve as a technical resource, developing and sharing best practices with internal teams. - Drive Innovation: Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements. What we need to see: - B.Sc. in Computer Science, Engineering, or a related field with 5+ years of experience. - Deep knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software. - Advanced proficiency in programming and scripting languages, with a solid understanding of object-oriented programming principles. - Familiarity with Jenkins, Ansible, Puppet/Chef. - Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu), networking and OS-level security. - Deep understanding of networking protocols such as InfiniBand and Ethernet. - Experience with job scheduling workloads and orchestration tools such as Slurm and Kubernetes. - Background with multiple storage solutions like Lustre, GPFS, ZFS, and XFS. - Expertise with virtual systems (VMware, Hyper-V, KVM, Citrix). - Familiarity with cloud platforms (AWS, Azure, Google Cloud). Ways to stand out from the crowd: - Proven networking experience or strong knowledge through professional networking training. - Architectural Insight: Knowledge of CPU and/or GPU architecture. - Container Expertise: Understanding of Kubernetes and container-related microservice technologies. - GPU Focus: Experience with GPU-focused hardware/software (DGX, CUDA). - RDMA Fabrics: Background with RDMA (InfiniBand or RoCE) fabrics. At NVIDIA, we value diversity and are committed to creating an inclusive environment for all employees. 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 provide reasonable accommodations to ensure all individuals can participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Join us and be part of a team that's pushing the boundaries of technology and making a real impact in the world.
Senior Product Manager, Physical AI Robotics Data
NVIDIA is seeking a Product Manager to own data strategy for robotics data. Physical Intelligence runs on data. NVIDIA’s robotics data powers the Isaac GR00T and Cosmos models which are advancing the development of Physical A!! NVIDIA Physical AI data roles offer an outstanding opportunity to define the future of deployed physical intelligence. You will collaborate closely with AI researchers, our operations team, and external partners to set an industry standard, build and release datasets, and develop new methodologies for data capture! What You'll be Doing: - First and foremost, you will be the key point person for all things robotics training data: requirements gathering, data collection, quality assurance, partner discussion, and data impact evaluation - We craft and implement robust data frameworks and standards for robotics data: data formats, quality requirements, and data distribution - Provide strategic direction to internal operations on data collection and annotation, ensuring data supports the goals of the research and engineering teams. - Collaborate with internal and external deep learning engineers and researchers to build short and long term data acquisition plans - Forge strategic partnerships and collaborations to acquire high-quality, diverse data sources essential for the development and fine-tuning of robotics foundation models - Contribute to the creation and refinement of tools and technologies for efficient data collection and curation What We Need to See: - Bachelor’s degree in Computer Science, Computer Engineering, or similar technical field or equivalent experience - 8+ years of work experience in robotics data, hardware or software development, or product management at a technology company - Ability to quickly experiment with data to test hypotheses - Track record of delivering data at scale for AI applications - Strong communication skills and evidence of ability to influence others - Prior success delivering ambitious projects for frontier AI Ways to Stand Out from the Crowd: - Experience with Physical AI data, including teleoperation data collection, curation, annotation, or quality control - Development of data collection or annotation workflows, process and guidelines - A background in ML research or robotics - Previous experience owning a product portfolio and delivering results 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/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
AI Hardware Architect
NVIDIA is hiring an AI Hardware Architect to analyze and architect the next generation of Artificial Intelligence hardware. We are looking for special individuals with a passion for delivering innovative products. Together, we will build life-changing AI chips and chiplets for the rapidly growing AI infrastructure market. If you have knowledge of computer architecture, microarchitecture, and chip design, and are looking to learn and grow, this is the opportunity you are looking for. What you'll be doing: - Work on groundbreaking GPU and CPU systems. Understand them across a range of disciplines and identify areas for improvement. - Study the applications and models running on Nvidia hardware and their architectural implications - Come up with microarchitectural solutions for connectivity, coherency, power management, security, memory management and other SOC level issues. - Understand and help drive implementation of bus protocols, networking protocols, memory access and security solutions across a range of products. - Work with software, firmware, platform and multi-functional teams on system architecture. - Model, analyze, and explain the performance and power advantages of Nvidia solutions. - Guide customers and firmware engineers to extract the most performance from microarchitectural structures. What we need to see: - Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience) - 8+ years of relevant industry experience. - Experience building high performance microarchitectural structures. Experience with industry standard bus protocols. - Clear understanding of the performance, power and security implications of microarchitectural features. - Strong interpersonal, communication and teamwork skills. - A drive to continuously learn and expand architectural breadth and depth. - Excellent coding and algorithmic thinking skills. Good understanding of LLMs. - Publications or other evidence of original chip/system architecture work is a plus. Join the future of chip building, you will contribute to innovative products with a dedicated team! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
DFT Methodology Engineer
We are now looking for a DFT Methodology Engineer! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What you'll be doing: - As a member in our team, you will own and work with cross functional teams, implementing state-of-the-art designs in test access mechanisms, I1149.1, I1500, I1687, 1838, memory BIST, scan and memory dump and DFX security methodology. - In addition, you will help architect, develop and deploy DFT methodologies for our next generation products including RTL design, Verification, pattern generation, partnering with teams like timing, physical design, software, bringup, production - You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: - Master’s degree (or equivalent experience) in Electrical Engineering or related field with proven experience in DFT or related domains. - 10+ years of hands-on experience in SoC architecture, RTL design, and verification. - Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate designs using vendor tools - Good exposure to cross functional areas including RTL & clocks design, STA, place-n-route and power, to ensure we are making the right trade-offs - Experience in Silicon debug and bring-up on the ATE with an understanding of pattern formats, failure processing, and test program development - Knowledge of DFT security and hardware system security is a plus. - Exceptional written and oral interpersonal skills with the curiosity to work on rare challenges NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA offers highly competitive salaries and a comprehensive benefits package. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior DFT Power Methodology Engineer
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips. What you'll be doing: - As a senior member in our team, you will work on innovating in the DFT Power, Thermal & Voltage Noise Methodology areas. - This will include working on groundbreaking low power & thermal solutions for our manufacturing tests to be enabled at conditions that push the boundaries for our datacenter GPUs. - Partner with multi-functional teams including Product Development & Power Architecture, implementing brand-new methodologies on hard-to-solve problems for improving our outgoing quality of chips. - You will work on post-silicon data analysis for power to architect the next-gen solutions. - In addition, you will help develop and deploy DFT methodologies for our next generation products using Applied ML & Gen AI solutions. - Help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: - BSEE (or equivalent experience) with 12+, MSEE with 10+, or PhD with 6+ years of experience in DFT design & power - Understanding of fundamental DFT topics and VLSI areas of power, timing & voltage noise - Experience in Power Analysis, Thermal Analysis & IR Drop tools is a plus. - Experience in application of AI for EDA-related problem-solving is a plus. - Excellent knowledge in using statistical tools for data analysis & insights. - Good exposure to multi-functional areas including RTL & clocks design, STA, place-n-route and power. - Experience in Silicon debug and bring-up on the ATE or SLT platforms. - Be able to think like a programmer so that this can be translated into action using AI Coding harnesses Ways to stand out from the crowd: - Outstanding written and oral communication skills with the curiosity to work on rare challenges. - Experience in managing DFT Power Methodology for designs - Experience in post-silicon debug for thermal & IR Drop - Good understanding of technology and passionate about what you do - Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Compiler Engineer, AI Inference- New College Grad...
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. NVIDIA is seeking top-tier AI Compiler Engineers to drive innovation within our world-class compiler organization. In this role, you will push the boundaries of what is possible in AI performance and help build the technology that powers the next generation of computing. Join us and make a tangible impact on a global scale. What you’ll be doing: - Drive technical innovation: Participating in hands-on development focusing on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs. - Advance the state-of-the-art: Solve complex compilation problems for AI workloads (both inference and training) and successfully transition these breakthroughs into enterprise and consumer products. - Collaborate on hardware/software co-design: Partner with leading experts across our software, hardware, and research divisions to architect and co-design future silicon. - Scale AI to the datacenter: Participating in the advancement and optimization of datacenter-scale AI workload deployments. What we need to see: - BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience). A PhD is strongly preferred. - Experience specializing in compiler optimizations, synthesis, and placement. - MLIR Knowledge: Demonstrated, hands-on experience working with MLIR. - Programming Excellence: Exceptional C/C++ and Python programming and software design skills, including rigorous debugging, performance analysis, and test design. - Team Dynamics: Strong communication and interpersonal skills, with the ability to collaborate effectively in a dynamic, fast-paced, and product-oriented environment. Ways to stand out from the crowd: - Hardware Implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures. - LLM Knowledge: Deep understanding of Large Language Model (LLM) inference and its profound implications on computer architecture. - Architecture & Design: Demonstrated understanding in the designing and architecting of comprehensive compiler frameworks from the ground up. 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 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Deep Learning Software Engineer, Inference
NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications. Our team is responsible for developing and maintaining high-performance open-source frameworks, which are at the forefront of efficient large-scale model serving and inference. You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models. You’ll work closely with the deep learning community to implement the latest algorithms for public release in inference frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You'll bring to bear open-source tools and plugins—including CUTLASS, OAI Triton, NCCL, and CUDA kernels—to implement and optimize model serving pipelines. What you'll be doing: - Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI. - Scale performance of DL models across different architectures and types of NVIDIA accelerators. - Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions. - Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions. What we need to see: - Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI). - 5+ years of relevant software development experience. - You'll need excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus. - Prior experience with training, deploying or optimizing the inference of DL models in production is a plus. - Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus. - GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus. Ways to Stand out from The Crowd - Contribute to deep learning software projects, such as PyTorch, vLLM, and SGLang to drive advancements in the field. - Experience with Multi GPU Communications (NCCL, NVSHMEM) With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Backend Compiler Engineer - New College Grad 2026
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. We are looking for you: a Computer Science or Computing Engineer to support our NVIDIA Back End Compiler Team! Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures. What you’ll be doing: - Investigate problems or improvement opportunities within the NVIDIA Compiler Back End – consistent with your compiler experience and knowledge. - Work with global compiler, hardware and application teams to oversee improvements and problem resolutions - Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages What we need to see: - Recent graduate with a Bachelors or Master's degree in Computer Science or Computer Engineering or equivalent experience. - Successful completion of an undergraduate Compiler Design class. Background in LLVM code generation. - Strong writing and oral skills, as well as an ability to follow best practices for Software Engineering. - You possess strong coding skills with C/C++ Ways to stand out from the crowd: - You wish to specialize in Compiler Design and Construction and have pursued graduate coursework in these areas. - Possess hands-on experience with backend compiler design and code generation. - Background in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR) - Experience with in any of the following areas is a plus: GPU and parallel architectures; CUDA and/or PTX; Graphics (OpenGL, DX or Vulkan). 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 brightest people in the world working for us and, due to unprecedented growth, our elite 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! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Solutions Architect – AI Factory
NVIDIA is seeking an outstanding Solutions Architect for AI Factory to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our Solutions Architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts passionate about AI Factory. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA! What you will be doing: - Maintain an up-to-date understanding of the philosophy, architecture, and deployment methods of various evolving NVIDIA Reference Architectures—e.g., NVIDIA DGX SuperPOD Reference Architecture, NVIDIA Cloud Partner Reference Design, and NVIDIA Enterprise Reference Architecture. - Analyze and understand the requirements of customer-initiated AI training or inference clusters. - Identify the NVIDIA Reference Architecture that best matches customer needs and effectively communicate its value proposition to collaborators. - Facilitate seamless communication between NVIDIA's internal deployment teams and customers during the implementation of AI clusters based on Reference Architectures. - Provide hands-on technical support to developers after the AI Factory has been deployed, ensuring that AI training and inference workloads run effectively on the infrastructure. What we need to see: - Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field. - Minimum of 5+ years of hands-on experience designing, deploying, and operating AI training or inference clusters with sever, storage, and network, that leverage Kubernetes with NVIDIA GPUs. - Foundational knowledge and experience with networking technologies—such as InfiniBand and Ethernet—in AI cluster environments, including compute fabric interconnects between GPU servers, storage fabric integration, and out-of-band and in-band management fabrics. Ways to stand out from the crowd: - Proficiency in key technologies including: Container Runtime Interface (CRI), Container Network Interface (CNI), Calico, NVIDIA GPU Operator, NVIDIA Network Operator, and Kubeflow Training Operator. - Knowledge and experience of facilities being used in building AI Factories, including cooling devices, power distribution, or plumbing. 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, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
Senior Machine Learning Applications and Compiler...
We are now looking for a Senior Machine Learning Applications and Compiler Engineer! NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative! What you’ll be doing: - Build, develop, and maintain high-performance runtime and compiler components, focusing on end-to-end inference optimization. - Define and implement mappings of large-scale inference workloads onto NVIDIA’s systems. - Extend and integrate with NVIDIA’s SW ecosystem, contributing to libraries, tooling, and interfaces that enable seamless deployment of models across platforms. - Benchmark, profile, and monitor key performance and efficiency metrics to ensure the compiler generates efficient mappings of neural network graphs to our inference hardware. - Collaborate closely with hardware architects and design teams to feedback software observations, influence future architectures, and codesign features that unlock new performance and efficiency points. - Prototype and evaluate new compilation and runtime techniques, including graph transformations, scheduling strategies, and memory/layout optimizations tailored to spatial processors. - Publish and present technical work on novel compilation approaches for inference and related spatial accelerators at top tier ML, compiler, and computer architecture venues. What we need to see: - MS or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent experience, with 5 years of relevant experience. - Strong software engineering background with proficiency in systems level programming (e.g., C/C++ and/or Rust) and solid CS fundamentals in data structures, algorithms, and concurrency. - Hands on experience with compiler or runtime development, including IR design, optimization passes, or code generation. - Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations. - Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX. - Solid understanding of parallel and heterogeneous compute architectures, such as GPUs, spatial accelerators, or other domain specific processors. - Strong analytical and debugging skills, with experience using profiling, tracing, and benchmarking tools to drive performance improvements. - Excellent communication and collaboration skills, with the ability to work across hardware, systems, and software teams. - Ideal candidates will have direct experience with MLIR based compilers or other multilevel IR stacks, especially in the context of graph based deep learning workloads. Ways to stand out from the crowd: - Prior work on spatial or dataflow architectures, including static scheduling, pipeline parallelism, or tensor parallelism at scale. - Contributions to opensource ML frameworks, compilers, or runtime systems, particularly in areas related to performance or scalability. - Demonstrated research impact, such as publications or presentations at conferences like PLDI, CGO, ASPLOS, ISCA, MICRO, MLSys, NeurIPS, or similar. - Experience with large-scale AI distributed inference or training systems, including performance modeling and capacity planning for multi rack deployments. LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Solutions Architect - Rack Scale AI Systems
NVIDIA is looking for a Solutions Architect to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the productivity of thousands of NVIDIA's software engineers worldwide. The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors. Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them? What you'll be doing: - Work with NVIDIA Product Teams to understand new product roadmaps and requirements primarily Rack Scale AI Products. - Finding Optimum Solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services and tools. - Assist in roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies. - Work closely with world-class engineers, architects, technical product managers and application developers setting the best strategies in place for a product launch. - Defining and implementing full scale solutions for product onboarding into our hosted and private cloud environments. - Solve sophisticated problems involving multi-site deployments of NVIDIA products and directly contribute to the overall quality of deployments and improve time to market next gen products. - Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments. - Integrate and Optimize Cluster Deployment methods and manage SW stack deployments, including provisioning these services into the cloud. What we need to see: - Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience. - 12+ years of relevant experience. - 6+ years of Linux and Scripting experience. - Solid background on OS Kernels and system engineering. - A track record of quickly understanding new technologies outside of your domain expertise and deploying systems in sophisticated configurations from hardware through multiple layers of software in a fast-paced environment. - Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture, as well as excellent communication and planning skills. - Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design. - Understanding of dense datacenter design including compute, Storage and networking. Ways to stand out from the crowd: - Understanding of software engineering principles and enterprise system architecture. - Experience with gpu and compute clusters administration & automation. - Experience in large scale QA environments, for product bring ups. - Special skills in large-scale computing and cluster computing(MPI), data center design include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. 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 passionate about new technologies we want you on our team! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD for Level 5, and 256,000 USD - 414,000 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Software Architect, AI Cloud
NVIDIA seeks a highly motivated senior AI cloud Software architect to join our team in Israel. Work on innovative technologies shaping the future of AI and cloud. We are developing RDMA Transport protocols within the Networking software architecture team at NVIDIA. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision? What you'll be doing: - Translate requirements into vision, architecture, and roadmap - Design infrastructure to support programmable improvements to RDMA protocols for E/W AI networking stack - Collaborate with multi-functional teams to innovate and deliver networking solutions - Explore innovative solutions in HW and SW for our next-generation platforms as part of programmable RDMA architecture - Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations What we need to see: - Bachelor's or Master’s degree in Computer Science or equivalent experience - 8+ years of proven experience in the field - Background in networking stack and protocols such as RDMA, TCP/IP, and InfiniBand - Strong articulation skills for crafting and improving technical documents and the ability to engage with a globally distributed engineering team - Eagerness to learn new technologies and constantly improve your expertise NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere real passion for technology, we want to hear from you.
LLM Engineer, Agentic Researcher Platform
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 pioneering the next step in AI: systems that do research themselves. Our team is building an autonomous, agentic platform that optimizes machine-learning models end-to-end: the model itself (architecture, hyperparameters) and its implementation (the CUDA/Triton code it compiles to) across domains. We're seeking a Machine Learning Engineer to help build the core of this platform and prove it against existing automated baselines on real model-optimization problems. What you'll be doing: - Develop and advance a self-governing, agentic platform that optimizes AI models end-to-end — architecture, hyperparameters, and the GPU code they compile to. - Leverage AI-native and agentic workflows to accelerate research, experimentation, evaluation, and deployment of AI systems. - Establish and drive benchmarking frameworks that measure accuracy, latency, memory footprint, throughput, and cost — including head-to-head comparisons that prove the agent beats existing automated search. - Design and deploy with strong consideration for reproducibility, AI safety, sandboxing, and compute-cost governance. - Lead technical initiatives, mentor engineers, and foster a One Team culture through close collaboration across research, engineering, and product teams. What we need to see: - Master's degree in Computer Science, AI, Electrical Engineering, or equivalent experience. - 3+ years of experience building and deploying ML, LLM, or model-optimization systems. - Strong Python skills and hands-on experience with PyTorch (or TensorFlow). - Hands-on experience with automated experimentation — hyperparameter optimization, AutoML, or NAS. - Experience building LLM-agent systems (reasoning, tool use, multi-step orchestration) and/or production ML pipelines and MLOps infrastructure. - Proven technical leadership and mentoring experience, and strong problem-solving, communication, and teamwork skills. Ways to stand out from the crowd: - Hands-on experience with NVIDIA AI technologies such as NeMo, TAO, Triton, CUDA, NIM, and Nemotron. - Experience building agentic AI systems with reasoning, tool use, and code generation. - Expertise in optimization: evolutionary and quality-diversity search (e.g. MAP-Elites), Bayesian optimization, and multi-fidelity methods (Hyperband/ASHA). - GPU performance work — CUDA/Triton kernels, torch.compile, operator fusion, quantization — and interest in inference-efficiency domains such as AI-RAN. - Experience benchmarking AI systems for accuracy, latency, memory, reliability, and cost. A research track record (publications or credible reproductions) in AutoML, NAS, LLM agents, or optimization. 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/
Senior Software QA Test Development Engineer
NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior Software QA Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks. SWQA test developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions. What you’ll be doing: - Review product requirements and develop test matrix. - Build testing-related documentation, including test plans, test approach, test cases and bug reports assessing quality and associated risks. - Manage bug lifecycle and co-work with inter-groups to work towards solutions. - Automate manual tests and assist in the architecture, building and implementing test frameworks. - Enhance the existing testing frameworks used in the organization by our engineers, including yourself, for areas such as UIs, REST APIs, process automation and performance validation. - Support a reliable fast feedback loop by integrating automation testing in CI and discovery pipelines. What we need to see: - BS or higher degree or equivalent experience in Computer Science, Electronics or related discipline with 5+ years QA experience. - Proficient with web based UI and RESTful APIs validation via code as well as Unix/Linux and shell/python programming skills. - Familiarity with networking protocols as well as working command of the Python programming language. - Rich experience in test cases development and failure root cause analysis. - Track record in identifying areas of process improvement - Good command of Cloud management systems and Kubernetes and supporting cloud infrastructure (Grafana etc) - Experience with building and handling CI/CD pipelines. - Hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, or integration into QA workflows - Fine-tuning or training models for QA-specific tasks - adapting LLMs or other models specifically for testing, documentation analysis, or requirement validation - Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc. - Excellent communicator, fluent written and verbal English. Ways to stand out from the crowd: - Experience building AI systems such as RAG (Retrieval-Augmented Generation) pipelines, MRC (Machine Reading Comprehension) solutions, or AI agents - Building AI-powered test generation tools - using LLMs to automatically generate test cases, test code, edge cases, or synthetic test data - Experience working with NVIDIA GPU hardware is a strong plus - Scalability or performance testing knowledge is a plus - Experience with data analysis and system monitoring across distributed systems as well as experience with Golang NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.
Senior Financial Analyst - Graphics Finance
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 now looking for a Senior Financial Analyst for our Graphics FP&A team, based out of our Santa Clara office. Our organization’s overarching responsibilities are to provide the highest caliber of relevant financial and business analysis that is both insightful and measurable, enabling effective decision-making at all levels of the company. This is a critical position within the Finance organization, requiring knowledge of product, advanced tool and analytical skills, accuracy, great attention to detail, and ability to implement to company’s timelines. It is a visible role within Finance for an energetic individual who thrives on inspiring change and impacting the business in a dynamic, fast-paced environment. What you'll be doing: Drive, execute and deliver forecasting, planning and analytics relevant to the company’s financial calendar Develop ownership of product margin analytics across the Graphics stacks Partner with product management teams to deep dive into product configurations and associated cost implications Build and maintain AI-enabled analytical tools to track and analyze pricing, component costs, supply and demand dynamics and industry trends, etc. Establish predictive models to facilitate new product development decisions Drive the design, development, testing and implementation of AI tools to improve workflow efficiency, replace manual workload with automated system solutions Create single-source of truth and improve the back-end architect of existing dashboards to deliver real-time insights Build strong partnership cross-functionally; provide consistent and timely support to senior leaders within a constantly changing environment What we need to see: 8+ years of experience in finance, business or data analytics, with costing, operational finance, data management and system automation background, within a global, high-tech corporation, supporting business divisions and/or operations Relevant degree from a leading university in Finance, Economics, Business, MBA a plus (or equivalent experience) Expert proficiency with MS Office, especially Excel. Experience with SAP, IBP, PowerBI, Tableau and other visualization tools, reporting/financial applications is required Hands-on experience building and deploying Artificial Intelligence (AI) / Machine Learning (ML) solutions, Cursor, Claude Agents as well as SQL skills for querying large-scale datasets is a plus Expert analytical skills and advanced financial modeling techniques, with ability to build and convey business insight Detail-orientated with the highest regard for accuracy and completeness Strong work ethics, interpersonal and communication skills Ways to stand out from the crowd: Expert analytical and complex financial modeling skills, high attention to details, critical thinking and problem-solving skills A strong ownership ethic and intense focus on accuracy and accountability; take pride in work quality, strive for improvements; operate with strong team spirit Experience collaborating across a large organization to influence and inspire changes, with excellent communication and interpersonal skills, and proven ability to build successful relationships and partner with all levels of a company’s organization Self-starter & problem solver, comfortable dealing with complexity, ambiguity, changes and tight deadlines Energy and real passion for delivering results in a dynamic growth company 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/ Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 128,000 USD – 201,250 USD for Level 4; and 168,000 USD – 258,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Solutions Architect, First Time Deployment...
NVIDIA is looking for a Senior Solutions Architect Academic that excels in bringing the latest NVIDIA products from research labs to fully operational AI Factories. Commercial and government groups around the world. Be part of the group using NVIDIA products to redefine deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic, customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI/HPC projects. These efforts include a combination of networking, system design and automation and validation. What you will be doing: - Primary responsibilities will include deploying, managing, and validating AI/HPC infrastructure in Linux-based environments for first of kind NVIDIA hardware. - Be the domain authority with NVIDIA design engineering teams and external customers during planning calls through implementation. - Create and handover related documentation and perform knowledge transfers required to support customers as they roll out some of the most sophisticated systems in the world! - Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: - 6+ years providing in-depth support and deployment services; solving problems for hardware and software products. - Knowledge and experience with Linux system administration/dev ops, process management, package management, task scheduling, kernel management, boot procedures, troubleshooting, performance reporting/optimization/logging, and network-routing/advanced networking (tuning and monitoring). - Experience in configuring, testing, validating, and issue resolution of LAN and InfiniBand networking, including use of validation tools for InfiniBand health and performance (ibdiag, etc.) and UFM (Unified Fabric Manager.) - Experience with benchmarking tools such as HPL, NCCL tests, MLPERF. - Scripting proficiency (Bash, Python, Ansible, etc.) and Automation tooling background (Ansible, Puppet, etc.) - Familiarity with schedulers such as SLURM, LSF, UGE, etc. - Kubernetes experience. - Excellent interpersonal communication skills and the ability to deliver resolutions for customer issues as they arise. Strong self-organizational skills and ability to prioritize/multi-task easily with limited supervision. - A willingness to travel to customer sites within the United States. - Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering, or equivalent experience. Ways to stand out from crowd: - Cluster management technologies knowledge (bonus credit for BCM (Base Command Manager).) - Experience with GPU (Graphics Processing Unit) focused hardware/software. - Experience with MPI (Message Passing Interface.) - Storage technologies such as Lustre or GPFS. - Familiarity with Dell and Supermicro GPU platforms. 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! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Engagement Tech Lead, Agentic AI
NVIDIA is seeking a highly technical Engagement Lead to drive integration of Generative and Agentic AI software with our highest-priority Enterprise ISV partners. In this role, you will lead the technical engagement with a select set of the world's most strategic enterprises as the trusted advisor their Software Platform Architects trust, and the leader who unites everyone working the account behind one technical vision. You'll stay hands-on, designing and shipping the production agentic systems that run their most demanding workloads, while accelerating adoption of NVIDIA's stack across the initiatives that shape their business. This role demands versatility at the intersection of platform strategy, strong AI/ML background with hands-on execution, and communication calibre required with senior leaders. It's a high-impact role where you will grow a rare breadth of skills and stay close to the frontier. Agentic AI moves fast, and staying at that frontier for your partners is a key part of the job. You will work closely with NVIDIA Product, Engineering, and Research, and your insights on real production deployments will directly shape what they build. What You Will Be Doing: - Lead the technical engagement with a focused set of ISV partners, working closely with their Software Platform Architects. Together you'll set the objectives, timelines, and adoption plan for each account. - Stay hands-on: design and ship the code, methods, and reference architectures that bring RAG, inference, and multi-agent, long-horizon workflows to life on our stack (NeMo, Nemotron, NeMo Agent Toolkit, NIM, Dynamo, TensorRT-LLM) and open tools (vLLM, LangChain, vector DBs, MCP, A2A). - Lead the technical strategy and execution: run the cadence, track adoption, and share what you learn with our Product, Engineering, Research, and Solution Architecture teams to land the best solution. - Build breadth across the agentic AI lifecycle, with depth in a few areas that fit you: fine-tuning (PEFT, SFT), post-training and RL from verifiable rewards, reasoning, advanced RAG, multi-agent workflows, skills/harness engineering, agent evaluation and observability, and production inference. - Be the voice of the partner inside NVIDIA. Bring their needs and architecture to our Product, Engineering, and Research teams, and help shape the roadmap with what you see across industries. - Grow deep expertise in agentic platform architecture, and keep up with our fast-moving field and stack so you can give partners the best guidance. What we need to see: - 12+ years in technical Product, Engineering, or Solutions roles across enterprise software and production AI, including customer- or partner-facing work. - Masters or PhD in Computer Science, Electrical Engineering, or equivalent experience. - A strong AI/ML and deep learning foundation, with hands-on experience building enterprise-grade GenAI systems: advanced RAG, multi-agent architectures, and production LLM deployments. - You enjoy leading technical engagements with customers, earning the trust of senior engineers, architects, and executives, and bringing a cross-functional team along. - Proficiency in Python and PyTorch and the modern agent/LLM stack (LangChain, an inference engine like vLLM or TensorRT-LLM, vector DBs, MCP/A2A). Direct experience with every tool is not required. - Solid grasp of enterprise deployment: MLOps/LLMOps, Kubernetes and Docker, and security, compliance, and governance. - The range to research, prototype, and collaborate across teams, and execution rigor to carry the best solution through to production. Ways to Stand Out from the crowd: - Track record of influencing complex product decisions through trusted partner relationships, showing empathy for customer needs and an instinct for translating those into scalable platform improvements. - Proactive in anticipating market trends, and advocating for innovation inside and outside the org, with an in-depth knowledge of the ISV and cloud provider landscape. - Demonstrated agility in high-stakes environments required to deliver successful outcomes with partner collaborations especially with high-velocity GenAI landscape. - Strong growth and solution outlook, highly collaborative standout colleague, able to build deep trust with engineers, executives, and multi-functional teams at both NVIDIA and Partner organizations. Ready to shape how the biggest software companies build agentic AI? Come build it with us! You'll have the support of our Product, Engineering, Research, and Solutions teams, and work that reaches far beyond any single product. There has never been a better time to join! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Solutions Architect, Networking Ethernet -...
NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you'll be doing: - Primary responsibilities will include building AI/HPC infrastructure for new and existing customers. - Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting. - Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement. - Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. - Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: - BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. At least 5+ years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture - Proficiency in configuring, testing, validating, and resolving issues in LAN and InfiniBand networks, especially in medium to large-scale HPC/AI environments. - Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols. - Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS. - Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python. - Ability to develop CI/CD pipelines for network operations. - Strong focus on customer needs and satisfaction. Self-motivated with leadership skills to work collaboratively with customers and internal teams. Strong written, verbal, and listening skills in English are essential. Willingness to travel, around 30% Ways to stand out from the crowd: - Familiarity with cloud networks (AWS, GCP, Azure) is a plus. - Linux or Networking Certifications. - Experience with High-performance computing architectures. Understanding of how job schedulers(Slurm, PBS) work. - luster management technologies knowledge (bonus credit for BCM (Base Command Manager).) - Experience with GPU (Graphics Processing Unit) focused hardware/software. 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.
Senior Software Architect - Data Center Systems
We are building innovative server systems for GPU accelerated applications, such as Deep Learning. Data Center SW team architects and develops the end to end software and firmware stack for these systems. We are looking for a Senior Software Architect who has deep expertise in designing server platforms and has added understanding of application use cases in Deep Learning workloads. You will work with world class engineering teams, product management, Operations and Customer support to build systems that will truly delight our customers. What you’ll be doing: - You will lead software activities for NVIDIA's deep learning server platforms, from design through production; collaborating with teams across company to deliver software solutions - Drive the system architecture for a complex server platform in a multi-functional environment. - Partner across application software, libraries, system software and firmware teams to design complete software solutions for new server platforms - Work directly with major customers to understand their requirements and work to align their roadmap with NVIDIA’s roadmap. - Work with business partners and vendors to shape their products to meet NVIDIA’s needs. - Develop a roadmap of new technologies and protocols and drive their design and adoption. - Mentor architects and engineering teams to grow them into future leaders. - Make key technical decisions for designs involving complex inter-component dependencies. What we need to see: - Deep experience in designing architecture for scalable and performant server systems, particularly at the SW/HW interface. - Understanding of HPC or Deep learning workloads and use of accelerated computing platforms. - Expertise in Out of Band and In-band management architectures. - Knowledge of server system architecture and implications of architecture decisions on overall performance of end applications. - Demonstrable experience in implementing left shift strategy to de-risk program execution. - Excellent written and verbal communication skills. - BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience. - 10+ years in the area of System architecture and design. Ways to stand out from the crowd: - Knowledge of cloud and cluster level deployment and management systems. - Strong background of device management protocols such as Redfish, IPMI, MCTP, PLDM and RDE. - Knowledge in storage and networking technologies. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. 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 a challenge? If so, we want to hear from you. Come, join our Data center server systems team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior ASIC Design Engineer
We are now looking for a Senior ASIC Design Engineer to join our System ASIC team! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. NVIDIA is seeking best-in-class ASIC Design Engineers to design and implement the world's leading GPU and SoC's. With the System-ASIC team, you will contribute to designing multiple products that will be used in a variety of applications from consumer graphics to self-driving cars and the growing field of artificial intelligence. System-ASIC team works closely with System Architecture team on product definitions, implements new innovative flows to improve our chip yield and to address multiple sectors, defines Reset and Boot Architecture and implements them in complex GPU and Tegra chips. The team is also handling the architecture, design, and synthesis of multiple System-level modules. What you’ll be doing: - Be an integral part of the System ASIC Design team to help develop and improve our RTL and SOC designs - Collaborate with architects, ASIC designers, and verification engineers to design sophisticated system-level modules such as Floorsweep, In-silicon measurement, Reset and Boot controllers. - You will be responsible for the RTL design, logic synthesis, and timing analysis of several modules. - Integrate modules into the overall SOC design and work closely with other teams in the silicon bring-up process and ensure successful SOC level integration. - You will also use your expertise to identify and implement improvements in the current design flow and methodologies to improve efficiency and quality. What we need to see: - BS / MS in Microelectronics/ Electronic Engineering/ Computer Science and related (or equivalent experience). - 5+ years of ASIC design experience or SOC integration design / flow experience - Fundamental digital design concepts and experience in ASIC design flow including RTL design, verification, logic synthesis and timing analysis - Strong coding skills in Perl, Python, C++, or other industry-standard scripting languages - Basic understanding of verification methodology - Excellent analytical and problem-solving skills and attention to detail. Ways to stand out from the crowd: - Familiarity with ARM CPU and SoC system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.) - Experience with reset controllers, boot, fuse controllers or UCIe protocol - Hands-on experience in programming (C/C++) and scripting (Perl/Python). LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Platform AI Engineer
For over 25 years, NVIDIA has been revolutionizing computer graphics, PC gaming, and accelerated computing. 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 be,a ,,ast talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join the team and discover how you can build a lasting impact on the world. NVIDIA's Silicon Co-Design Group (SCG) is seeking Senior AI Platform Engineers. They will set the technical direction and lead the end-to-end delivery of the efficiency platform that supports our intelligent automation ecosystem.. If you are energized by building foundational platforms at the intersection of ML infrastructure and large-scale systems, this is your opportunity! What you'll be doing: - Define the architectural direction, infrastructure investments, and roadmap priorities for the efficiency platform — across silicon architecture, build, methodology, validation, and applied AI teams. - Define platform contracts and onboard new agents and skills from the domain teams across SCG building on the platform. - Owning end-to-end delivery of the platform — from design and implementation through sustained production operation — with accountability for security, reliability, performance, and evolution. - Leading the unified solutions including orchestration patterns, authentication and authorization, observability, and SLA enforcement. Driving platform-wide decisions with multi-functional impact. Managing storage and caching strategies that scale across heterogeneous compute environments. - Serving as the technical authority for infrastructure powered by artificial intelligence across SCG: setting engineering standards, resolving cross-team architectural challenges, and mentoring senior engineers. What we need to see: - BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field, with 8+ years of hands-on experience designing and operating production-grade platform or backend infrastructure. - 5+ years of direct ML infrastructure experience, including end-to-end ownership of a model serving platform or latency-sensitive backend service from initial architecture through sustained production operation. - Demonstrated track record of setting technical direction at the department or company level: defining platform strategy, establishing architectural standards, and leading initiatives spanning multiple teams. - Strong Python skills and proficiency in at least one compiled language such as C, C++, Go, Java, or Rust. - Hands-on experience with job queues + sandboxed execution (Kubernetes Jobs, Celery/Sidekiq/Temporal, container runtimes with resource isolation). - Strong communication and leadership skills, with the ability to align senior team members and drive architectural decisions across organizations with contending priorities. Ways to stand out from the crowd: - Industry recognition in ML infrastructure or distributed systems — through publications, conference talks, open-source contributions, or technical leadership visible beyond your current organization. - Experience driving platform architecture at company scale, including engineering standards or frameworks broadly adopted by other teams. - Exposure to silicon design, methodology, validation or EDA toolchains, especially the cadence of chip development lifecycles. - Experience building or operating AI platforms within a silicon development, validation or EDA environment, with a firsthand understanding of the reliability and scale demands of chip design toolchains. - Track record of mentoring senior engineers and growing technical talent — shaping the capabilities of the team as much as the platform itself. The platform you architect will run every workflow involving NVIDIA silicon — from bring-up, characterization, and debug to production sign-off. If leading the foundation that the next generation of SCG engineers builds on is the problem you want to solve, we'd like to talk! Known throughout the technology industry as a highly attractive employer, NVIDIA delivers highly competitive salaries and a comprehensive benefits package. As you consider your future, explore what we can provide for you and your family at www.nvidiabenefits.com/ LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior AI Compiler Engineer, Algorithms and Code-G...
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 an AI & Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AI, recommendation systems, image classification, speech recognition, etc. With the rapid advancement of AI, our DLC has been the backbone of NVIDIA’s inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Time and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community. What you'll be doing: Analyzing deep learning networks and developing compiler optimization algorithms. Strong programming skills in CUDA including analyzing and debugging performance bottlenecks on GPUs Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs. What we need to see: Bachelor’s, master’s or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience. 3+ years of relevant work or research experience in performance analysis and compiler optimizations. Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.). Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design. Ability to work independently, define project goals and scope, and lead your own development efforts. Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. Ways to stand out from the crowd: Proficient in CPU and/or GPU architecture especially modern Nvidia GPUs like Hopper and Blackwell Understanding of deep learning models, algorithms, and frameworks, such as PyTorch, JAX. GPU kernel authoring and performance analysis using tools such as Nsight Compute. A track record of success in mentoring early-career engineers and interns is a bonus. Track record on new hardware bring-up is a plus. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Site Reliability Engineer
We are now looking for a Sr. Site Reliability Engineer (SRE)! 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 motivated by outstanding 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. NVIDIA is at the forefront of generative AI models, from language to images. 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, encouraging environment where everyone is inspired to do their best work. NVIDIA is looking for a Senior Site Reliability Engineer (SRE) to join its cloud service team for supporting, triaging, and building Geforcenow cloud gaming platform. As SREs are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to tackle a broad spectrum of problems. We live SRE practices that are key to product quality, such as limiting time spent on reactive operational work, blameless postmortems, proactive identification of potential outages, and iterative improvements, which all make for interesting and dynamic day-to-day work. The person in this position will be responsible for Service Response and workflow and will drive tools/service development to maintain and improve service SLOs. We partner with Service Owners to drive the reliability of the service. Continuously evaluate operational processes, identify opportunities for improvement, and build custom tools, automation, and self-service solutions that improve the overall reliability and operational efficiency of GeForce NOW. What You Will Be Doing - Monitor, support, and maintain the reliability, availability, and performance of large-scale GeForce NOW production services running across cloud and datacenter environments. - Participate in production incident triage, troubleshooting, and resolution of complex infrastructure and application issues. Take part in the team's on-call rotation, including occasional weekend coverage, to ensure timely restoration of customer-facing services. - Monitor service health using metrics, logs, traces, and dashboards, and proactively identify reliability, performance, and capacity issues before they impact customers. - Collaborate with software engineering, platform, networking, and infrastructure teams to improve operational readiness, reliability, and service resilience. - Drive observability initiatives by improving monitoring, alerting, dashboards, and telemetry to enable faster detection and diagnosis of production issues. - Scale services sustainably by building automation, eliminating operational toil, and continuously improving deployment, recovery, and operational workflows. - Lead and participate in incident response, root cause analysis, and blameless postmortems, driving corrective and preventive actions to improve long-term service reliability. - Design and develop custom tools, automation, and self-service solutions that simplify operations, improve engineer productivity, and enhance the overall GeForce NOW platform. - Continuously evaluate existing operational processes and identify opportunities to improve service reliability, operational efficiency, and customer experience through engineering-driven solutions. - Contribute to the design, deployment, and operation of Kubernetes-based services, ensuring they meet scalability, reliability, and performance requirements. What we need to see: - BS degree in Computer Science, Computer Engineering, Information Technology, or a related technical field (or equivalent experience). - 5+ years of experience supporting and operating mission-critical production services in a live-site environment as a Site Reliability Engineer (SRE), Production Engineer, or similar role. - Strong understanding of containerization, microservices architecture, and Kubernetes, including Kubernetes ecosystem components and operational best practices. - Demonstrated ability to troubleshoot complex production issues, identify root causes, and drive issues to resolution. - Strong understanding of distributed systems and how complex production environments interact across applications, infrastructure, networking, and cloud services. - Experience supporting production operations, including incident management, change management, postmortem reviews, and operational excellence initiatives. - Hands-on experience developing automation using Python, Go, Bash, or similar scripting/programming languages. - Strong understanding of SLOs, SLIs, error budgets, KPIs, and service reliability best practices. - Experience with observability platforms such as Prometheus, Grafana, ELK/OpenSearch, and modern monitoring and alerting solutions. - Experience operating services in public cloud environments such as AWS, Azure, GCP, or equivalent cloud platforms. Ways to stand out from the crowd: - Experience supporting large-scale customer-facing cloud or gaming services. - Strong Kubernetes operational and troubleshooting expertise. - Experience with observability platforms, including Prometheus, Grafana, ELK/OpenSearch, and OpenTelemetry. - Strong scripting or programming skills in Python, Go, or similar languages with a focus on automation. - Experience driving production incident response, postmortems, and operational excellence initiatives. 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.
Senior Technical Program Manager, Resilience Autom...
NVIDIA’s deep learning platforms have significantly influenced many fields and are widely embraced by top academic institutions, startups, and industry leaders, including the largest Internet companies worldwide. We are looking for an experienced and skilled Technical Program Manager for NVIDIA's DGX Cloud Infrastructure Team. We need dedicated, hardworking, and innovative individuals to help us deliver consistent reliable infrastructure and experience to Researchers. What you'll be doing: As a DGX Cloud Technical Program Manager, you will be the vital link between global cloud service providers and NVIDIA engineering teams, delivering reliable cloud infrastructure and user experiences for DGX Cloud customers! You will gather requirements, lead prioritization, schedules, and planning for all phases of the product life cycle. You will manage risks and resolve issues that impact scope, schedule, and quality while ensuring the programs meet their quality standards. - Develop and drive delivery of roadmaps and schedules for the many moving parts that need to come together. - Manage and improve existing product development; collaborate with engineering management to improve the development workflow and engineering efficiency. - You will have the opportunity to interact with diverse technical groups, spanning across both NVIDIA and our Partners. - Partner with the engineering team and product management to define project roadmaps, schedules, and achievements. - Identify and address risks that impact every element of scope, schedule, and quality. - Regularly communicate program status and key issues to management and across teams within the organization. What we need to see: - 10+ years of Program/Project Management experience driving the planning and execution of large programs, software engineering projects in a matrixed environment. - Curious, driven and passionate about finding opportunities for process improvement! - Experience in successfully leading global projects across time zones. - Experience with Jira and/or JAMA, enabling you to guide an engineering team on how to use these tools and implement Agile/scrum processes. - Ability to think strategically and tactically and to build consensus in making programs successful; ability to resolve technical issues and resource conflicts. - Possess excellent communications and technical presentation skills. - MS EE or CS degree, or equivalent experience. Ways to stand out from the crowd: - Highly motivated with strong communication skills, with proven ability to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies. - Natural ability to influence without authority. - Working knowledge of cloud technologies is a plus. - Experience with new product introduction and program managing research teams. - Experience with efficiency tools and process automation is a big plus. - Direct experience with crafting and rolling out Repair and Breakfix workflows. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Applied AI Engineer - VLSI Design
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. Join NVIDIA's custom RAM design team, where we are pushing the boundaries of memory technology to power the next generation of AI and accelerated computing. Our team operates at the intersection of innovative circuit design and scalable CAD infrastructure, tackling some of the most complex memory design challenges in the industry. We are looking for dedicated Software Engineers to work on developing and deploying AI agents that leverage machine learning models to solve complex problems in VLSI design. The ideal candidate will have a strong background in computer science, electrical engineering, or related field, with experience in machine learning, deep learning, and software development. The successful candidate will work closely with our team of experts in VLSI design, machine learning, and software engineering to create and integrate machine learning-based solutions that enhance the efficiency, productivity, and quality of our VLSI design flows. What you'll be doing: - Play a key role in design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and other related technologies. - Drive impact by designing and building the needed infrastructure to deploy LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems. - Develop agentic AI solutions that help solve complex VLSI engineering problems, fine tune & integrate them with CAD flow systems. - Make a difference by using AI technologies to help solve complex problems in chip design more efficiently. - Build and maintain design databases and dashboards that may use agentic and deterministic retrieval mechanisms to fetch pertinent engineering data expediting circuit design closure. - Collaborate with circuit design, layout, technology, and 3rd party EDA vendor teams distributed across geographies and time zones. What we need to see: - Master's or PhD degree in Electrical Engineering, Computer Science/Engineering or equivalent experience. - 5+ years of proven industry experience in a related field. - Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles. - Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases. - Strong analytical, communication, and interpersonal skills, with a proven ability to thrive in dynamic, product-focused, and distributed teams. - A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results. Ways to stand out from the crowd: - Experience with Large Language Models (LLMs) and their applications in software and AI development - Proficiency in standard methodologies for software development, including version control, testing, and CI/CD. - Deeply interested in learning disparate concepts and putting them together in innovative new ways. - Prior experience with circuit design, HW design is a plus. 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/ LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Network Solution Architect – AI Fabrics
NVIDIA is looking for an experienced Network Solutions Architect Engineer to help bring our next-generation AI networking platforms into production at customer data centers. Do you want to be part of a team that brings new AI hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap. What you will be doing: - Partner with AI-native / consumer internet customers on large data center GPU and networking deployments. Guide architecture decisions across network, compute, and storage, including fabric design. Support on-site bring-up of server, network, and cluster infrastructure in customer data centers. - Demonstrate expertise on advanced GPU and network systems (Spectrum-X, BlueField DPU, InfiniBand/RoCE, etc.) for key accounts. Run regular technical account reviews covering roadmap alignment, cluster issues, feature discussions, and new technology introductions. Capture customer-specific requirements and translate them into concrete feedback for product, architecture, and engineering teams. - Analyze and debug configuration and performance issues in RoCE and InfiniBand environments. Work across NICs, switches, Linux, and system software to deliver performant, reliable AI clusters. - Identify and shape new project opportunities for NVIDIA GPUs, networking, and software in AI and data center use cases. Collaborate closely with Systems Engineering, Product Management, and Sales to align solutions with customer outcomes. Build targeted POCs that showcase the value of NVIDIA’s networking stack (e.g., Spectrum-X fabrics, BlueField DPUs) in real customer environments. What we need to see: - BS/MS/PhD in Electrical/Computer Engineering, Computer Science, or other Engineering fields or equivalent experience. - 6+ years of hands-on network engineering experience in data center or cloud environments. - Proven, expert-level troubleshooting of data center networks (packet-level, control plane, and fabric behavior). - Deep protocol knowledge of BGP, OSPF, and L2/L3 switching in large-scale data center or cloud networks (ECMP, Clos/leaf–spine). Experience with high-density switching at cloud or hyperscale is strongly preferred. Experience with InfiniBand or RoCE is a major plus. - Solid understanding of CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers - Strong time management and ability to context-switch across multiple customers and projects. - Excellent written and verbal communication, including clear design docs, customer presentations, and root-cause summaries. Ways to stand out from the crowd: - Advanced certifications: CCIE, JNCIE, or equivalent expert-level certifications. - Automation & tooling: Experience in Python, Bash, or C/C++ for automating network workflows, validation, and debug. - NVIDIA platform experience: Hands-on work with NVIDIA GPUs, NICs, DPUs, or ARM-based CPU platforms. - Customer-facing background: Pre-sales, post-sales, field engineering, or consulting experience with external enterprise or cloud customers. - Large-scale deployments: Direct experience bringing up and operating large clusters or supercomputing environments. - Virtualization / cloud: Familiarity with virtualization, containers, and cloud networking concepts. We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team! 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! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Architect, Camera ISP
NVIDIA is an innovative technology company committed to advancing camera technologies. We drive AI and computer vision innovation and improve visual data quality for various Physical AI uses, including autonomous vehicles, robots, and smart cities. We are looking for creative, dedicated, and highly motivated individuals to join us in making a lasting impact in the world. As Senior Architect, Camera ISP, you will have the opportunity to push the boundaries of camera imaging technologies for both human and machine vision systems. Join us to build the next-generation camera imaging technology and enable a safe, smart, and fun future! What you'll be doing: - Contribute to the build and development of world-class ISP to meet the ambitious performance and quality standards of NVIDIA's autonomous driving and robotics applications - Apply your expertise to drive continuous improvement and innovation in image processing algorithms and architectures including SOTA deep learning methods to achieve unprecedented image quality and camera usability - Engage with new camera application areas including Vision-Language-Action AI to understand needs and constraints, and discover opportunities to innovate ISP - Develop ISP architecture specifications, functional models, and tests by working closely with other IP architects, hardware engineers, and software teams - Represent new and existing NVIDIA ISP capabilities to internal groups, partners, and customers What we need to see: - A Master's degree or equivalent experience in Electrical Engineering, Computer Science, or a related field - 10+ years of proven experience in ISP architecture and imaging science for automotive, robotics, surveillance, and consumer cameras - Strong foundation in human- and machine-centric image quality assessment and algorithm complexity analysis - Proficiency in C/C++, MATLAB, Python, DL framework (PyTorch, TensorFlow) - Excellent communication skills for productive personal interactions as well as for effective documentation and presentation Ways to stand out from the crowd: - Ph.D. in relevant field or equivalent experience - Deep expertise in image science covering optics, HDR image sensors, and color/tone management - Experience in developing and successfully deploying deep learning-based ISP technologies in real-time camera systems - Knowledge of industry standards and benchmarks for consumer, automotive, and medical imaging systems - Track record in building a culture of imaging excellence based on first principles and attention to detail through mentorship, teaching, and personal examples 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 doing lifeworks for us. Do you love the challenge of crafting the smartest, fastest, and most efficient ISP solutions? If so, we want to hear from you! LI-Hybrind Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Principal SoC Architect, Robotics and Automotive
NVIDIA is seeking a Principal SoC Architect to join our architecture team and drive the next generation of Edge AI, Robotics, and Autonomous Driving platforms. NVIDIA is developing processor and system architectures that power the world’s most advanced autonomous machines—from factory-floor AMRs and humanoids running NVIDIA Isaac, to next-generation software-defined vehicles running NVIDIA DRIVE. In this position, you will own the architectural definition of SoCs that bring together NVIDIA GPUs, world-class computer vision accelerators, and real-time processors into a single silicon fabric. Your role will be inherently cross-disciplinary, bridging the gap between pioneering robotic applications, automotive safety standards, and silicon design. What You’ll Be Doing: - End-to-End SoC Lifecycle Ownership: Define and drive the hardware architecture from early concept through bring-up and ecosystem enablement. - Robotics & Automotive Co-Design: Collaborate with software, deep learning, and safety teams to co-design hardware feature sets tailored for low-latency robotics spatial computing, sensor fusion, and autonomous driving pipelines. - PPA Modeling & Analysis: Perform rigorous performance, power, and area modeling, optimizing specifically for thermally constrained robotic enclosures and automotive ECUs. - Specification & Modeling: Author high-quality architecture specifications and drive the development of models to validate architectural choices. - Architectural Validation: Define validation plans to ensure hardware meets strict real-time execution and safety metrics. - Post-Silicon & Production Support: Participate in silicon debug, performance tuning, and the generation of user documentation for tier-1 robotics and automotive customers. What We Need to See: - Experience: 15+ years of deep architecture design experience in high-performance silicon. - SoC Architecture Expertise: Meaningful industry expertise in top-level SoC definition - Robotics & Automotive I/O: Practical knowledge of high-speed interfaces (PCIe, GMSL/Camera interfaces, Time-Sensitive Networking/TSN). - Advanced Subsystems: Multimedia/vision accelerator pipelines, CPU/GPU cache coherency, Virtualization, and Hardware Security. - Deterministic & Real-Time Compute: Deep understanding of hardware support for real-time operating systems (RTOS), deterministic latency, and mixed-criticality workloads. - Cross-Functional Technical Leadership: Exceptional ability to communicate, negotiate, and solve technical hurdles across all abstraction levels—from micro-architecture to software application layers. - Education: Master’s or PhD degree in Computer Engineering, Electrical Engineering, or equivalent experience. Ways to Stand Out from the Crowd: - Experience in functional safety and building end to end solutions fulfilling safety requirements - A proven background in mapping complex Edge AI workloads ( e.g., transformer-based vision models, SLAM, or path planning) directly onto custom hardware architectures. - Advanced programming skills in SystemC, C++, or Python for architectural simulation and modeling. 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 love a challenge, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 6, and 320,000 USD - 488,750 USD for Level 7. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Applied Agentic AI Lead, Partner Co-Design
NVIDIA is seeking a highly technical, partner-facing Agentic AI Lead to drive the co-design of Generative and Agentic AI software with our highest-priority Enterprise ISV partners. As Technical Lead for your assigned strategic partners, you'll collaborate hand-in-hand with their Software Platform Architects, co-designing the production agentic systems that run their most demanding workloads. You are the senior technical mind on the account, the person the partner trusts to turn hard, ambiguous problems into shipped software, and the one who accelerates adoption of NVIDIA's stack across the initiatives that matter most to their business. This role demands versatility at the intersection of platform strategy, strong Deep Learning fundamentals with hands-on execution, and business acuity with senior leaders. It's an important, high-impact role: you'll grow a rare breadth of skills and stay at the frontier at all times, with your work visible from the partner's leadership to NVIDIA's roadmap. Agentic AI moves fast, and staying at that frontier for your partners is the heart of the job. You will work closely with NVIDIA Product, Engineering, and Research, and your read on real production deployments will directly shape what they build. What You Will Be Doing: - Co-design and build production agentic systems hand-in-hand with a focused set of ISV Software Platform Architects. Define technical objectives, timelines, and adoption strategy aligned to their critical business objectives. - Bring these to life across RAG, inference, multi-agent, and long-horizon workflows on NVIDIA's stack (NeMo, Nemotron, NIM, Dynamo, TensorRT-LLM) and ecosystem tools (vLLM, LangChain, MCP/A2A, and emerging agent frameworks). Drive evaluations of NVIDIA libraries and ship the code and reference architectures that turn each engagement into durable software the ecosystem builds on. - Take charge of the technical engagement, ensuring software adoption through strong execution rigor. Collaborate directly with NVIDIA Product, Engineering, NV Research, and Solution Architecture groups. Share insights and impact to reach the best solution. - Develop technical breadth, and go deep in select areas as applicable: eg. Fine-tuning (PEFT, SFT), post-training and RL from verifiable rewards, Reasoning, RAG, Agent Evaluations and Observability, and Production inference. - Represent partner needs and architecture design to Product and Engineering teams. Contribute to the product roadmap by articulating insights from large-scale enterprise environments and cross-industry patterns captured from ISV engagements. - Stay ahead in a fast paced field and NVIDIA's evolving models, libraries, and frameworks to keep your partners on the cutting edge. What we need to see: - 12+ years in technical Engineering, Product, or Solutions roles across enterprise software and production AI, including customer- or partner-facing work. - Masters or PhD in Computer Science, Electrical Engineering, or equivalent experience. - A strong AI/ML and Deep Learning foundation, with hands-on experience building enterprise-grade GenAI systems, e.g. advanced RAG, multi-agent architectures/harnesses, and production LLM evaluations and deployments. - Ability to swiftly research, prototype, and collaborate with multiple teams to arrive at the best technical solution for new and evolving customer scenarios, driving to completion with ownership of large projects. - Fluency in Python and the modern agent/LLM stack (eg. LangChain, inference engines such as vLLM/TensorRT-LLM, NVIDIA NeMo, vector DBs, MCP/A2A). Direct experience with every tool is not required but foundational breadth is desired. - Strong grasp of enterprise deployment realities: MLOps/LLMOps, Kubernetes and Docker, and Security, Compliance, and Governance. - Strong executive-caliber communication and deep curiosity for emerging AI technologies. High ownership and initiative, with the relationship-building instinct to keep internal and external collaborators aligned. Ways to Stand Out from the crowd: - Track record of influencing sophisticated product decisions through trusted partner relationships, with empathy for customer needs and an instinct for translating them into scalable platform improvements. - Proactive in anticipating market trends and advocating for innovation inside and outside the org, with in-depth knowledge of the ISV and enterprise agent-platform landscape. - Proven agility in high-stakes environments, delivering successful partner outcomes in a high-velocity agentic AI landscape. - Strong growth and solution outlook, a highly collaborative standout colleague able to build deep trust with engineers, executives, and cross-functional teams at both NVIDIA and Partner organizations. We’re entering a defining chapter in NVIDIA’s history! This role offers an exceptional opportunity to help build our Enterprise Generative AI business as part of a stellar high-impact team. You'll have the support of Engineering, NVIDIA Research, Solutions Architects, and Product teams to empower enterprises and redefine their operations with pioneering AI applications. Your contributions will directly impact the trajectory of our Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Developer Technology Engineer - AI
NVIDIA is seeking a passionate, world-class software engineer to join its Compute Developer Technology team(DevTech). Our team has over 150 engineers across Beijing, Shanghai, Shenzhen, Taipei, Seoul, and Sydney. We understand algorithms, GPU, and real-world applications. Our mission is to connect the NVIDIA platform with developers worldwide. We dive deep into customer projects to solve performance bottlenecks. We use insights from workloads to guide next-generation NVIDIA hardware and software. If you are driven by innovation and ambition, this is the team for you! What you'll be doing: - Working directly with key application developers to understand the current and future problems they are solving. You will build and optimize core parallel algorithms and data structures to deliver the most effective solutions using GPUs, through both library development and direct contribution to applications. This includes training and inference optimization for large language models (LLM), contributing to frameworks and open-source projects in the large language models ecosystem, such as Megatron and TRTLLM, SGLang, vLLM... - Collaborating closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the build of next-generation architectures, software platforms, and programming models. This includes investigating impact on application performance and developer efficiency, and turning real-world developer feedback into actionable platform improvements. - Engaging in deep optimization of high-performance operators, involving but not limited to GPU kernel optimization, instruction-level tuning, and compiler optimization. These optimizations will directly support customers or be coordinated within computation libraries and open-source projects across the community, like cuDNN, cuBLAS, and CUTLASS and Open- source libs like DeepGEMM, FlashMLA, FlashAttention, Flashinfer... - Improving communication for broad distributed large language models workloads. You will spearhead advancements in distributed training and inference by refining communication libraries(NCCL，NCCL GIN , NVSHMEM ) and engaging in open-source communication libraries(like DeepEP, NCCL EP). This demands in-depth study of interconnect topologies(NVLINK) and network protocols( InfiniBand/RoCE) to design efficient data transfer strategies and methods for compute-communication overlap. What we need to see: - A degree or equivalent experience from a university in an engineering or computer science related field. A masters or doctoral degree is preferred. - 2+ years of work experience. - Solid understanding of C, C++, Python, or Fortran. - Strong knowledge of software development, programming techniques, and algorithms. - Strong mathematical fundamentals, including linear algebra and numerical methods. - Background in parallel programming and accelerated computing, with comprehensive knowledge of parallel architectures and methods for performance analysis and tuning. Experience in GPU programming is desirable. - Experience in full-stack performance analysis and optimization within at least one of these areas: large language models and high-performance computing. Having expertise ranging from operator-level through framework-level to algorithm-level optimization is strongly preferred. - Experience in distributed communication optimization is highly advantageous. This involves familiarity with remote direct memory access, GPU interconnects, collective communication algorithms, and associated open-source libraries used in large-scale model training and inference. - Solid software engineering fundamentals and system architecture thinking, with the ability to build modules and drive engineering practices in complex systems. - Strong communication and cooperation abilities, with the capability to work efficiently alongside architecture, research, and software product teams to promote optimization from concept to production.
Senior Solutions Architect, Infiniband and Network...
NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you'll be doing: - Primary responsibilities will include building AI/HPC infrastructure for new and existing customers. - Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting. - Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement. - Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. - Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: - BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. - At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture - Proficiency in configuring, testing, validating , and resolving issues in LAN and InfiniBand networks, especially in medium to large-scale HPC/AI environments. - Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols. - Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC , IOS, JunosOS , and EOS. - Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python. - Ability to develop CI/CD pipelines for network operations. - Strong focus on customer needs and satisfaction. - Self-motivated with leadership skills to work collaboratively with customers and internal teams. - Strong written, verbal, and listening skills in English are essential. Ways to stand out from the crowd: - Familiarity with cloud networks (AWS, GCP, Azure) is a plus. - Linux or Networking Certifications. - Experience with High-performance computing architectures. Understanding of how job schedulers( Slurm , PBS) work. - Luster management technologies knowledge (bonus credit for BCM (Base Command Manager).) - Experience with GPU (Graphics Processing Unit) focused hardware/software. 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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 292,500 PLN - 507,000 PLN for Level 4, and 375,000 PLN - 650,000 PLN for Level 5.
Senior Computer Vision and Deep Learning Hardware...
We’re looking for an Autonomous Vehicle Performance Architecture Engineer. NVIDIA MMPLEX PVA team is designing the state-of-art programmable vision accelerator (PVA) which targets the automotive and robotic area. We are responsible for the architecture modeling, designing and verifying. We also deliver most high-performance/efficient computer vision applications and kernels to the world-wide customers. What you'll be doing: - Work on delivering most efficient software on PVA for Autonomous Driving solutions - Analyze, prototype and optimize key applications for both existing and new architectures for PVA - Build model to predict performance, power and reliability on future architectures and propose and evaluate new architecture features - Be involved in crafting tools to analyze, simulate, validate and verify application performance and energy consumption - Collaborate with different teams to improve the PVA architecture to extend the state of the art in performance, efficiency, reliability and programmability What we need to see: - Master's or PhD (or equivalent experience) - 3+ years of experience equivalent experience in relevant discipline (CE, CS&E, CS, AI) - Excellent C/C++ programming and software design skills - Strong background in computer architecture, high performance computing - Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and DSP Ways to stand out from the crowd: - DSP programming, performance analysis, modelling and optimization experience (GPU programming experience is a plus) - Autonomous vehicle software development experience - Expertise in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results - Experience in deep learning, computer vision and self-driving car domain
Senior CUDA Test Development Software Engineer, SD...
NVIDIA is the world leader in GPU Computing. We are passionate about markets including Data centers, Gaming, Professional vision, Automotive, HPC and networking. We are well positioned as the “AI Computing Company”, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles. We have some of the most brilliant and talented people in the world working for us. If you are talented, bright, driven and if working with smart technical people across countries sounds interesting, this job is for you. We are the CUDA Test Development team, responsible for all aspects of quality assurance, including regression testing, release testing, test automation, and test development. We ensure the highest quality standards for every CUDA product. We are now seeking a highly skilled and motivated Senior CUDA Test Development Software Engineer. What you will be doing: - Design and implement functional/performance tests for CUDA products, like driver and library. - Automate CUDA tests, design test plans and integrate into automation testing infrastructure. - Triage test results, root cause test failures or performance drops, and drive through bugs to fix. - Develop scripts/tools and optimize workflow to improve efficiency and productivity. What we need to see: - MS or PhD degree from a leading university in computer science or a related field. - At least 3 years of relevant professional experience. - Excellent QA sense, knowledge, and experience in software testing. - Rich experience in test case development, tests automation and failure analysis. - Proficient programming and debugging skills in C/C++ and Python. - Comprehensive knowledge of Linux and Windows operating systems. - Experience in using AI development tools for test plans creation, test cases development and test cases automation. Ways to stand out from the crowd: - Excellent English communication and collaboration skills. - Strong understanding of CUDA, HPC, Gcov, VectorCAST, Coverity.
Software Engineer, AI Networking Architect
NVIDIA is building the world’s most advanced 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 an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture. You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape NVIDIA products across the full stack - from applications and software libraries to hardware architecture and physical design. What You’ll Be Doing: - Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations. - Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements. - Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior. - Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements. - Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps. - Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks. What we need to see: - B.Sc. Or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. - 3+ years of relevant industry or research experience. - Strong machine learning or data science background, with hands-on experience in LLMs, generative AI, or deep learning systems. - Strong systems-level thinking, capable of estimating end-to-end requirements across the AI stack. - Shown ability to translate research findings and product requirements into clear software and hardware specifications. - Excellent research skills, including the ability to digest academic papers, self-learn new domains, and independently test hypotheses. - Advanced programming skills for performance modeling, data analysis, and prototyping. - Excellent communication skills, demonstrating proficiency in presenting complex technical findings clearly and confidently. Ways to Stand Out from the crowd: - Experience with distributed training, distributed inference, or large-scale AI serving systems. - Experience in Agentic programming, and AI tools - Familiarity with GPU clusters, collective communication, storage systems, or AI networking bottlenecks. 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.
Senior Account Manager, Ford and Rivian
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 Automotive Account Manager to support Ford and Rivianin automated driving, cockpit applications and the automotive ecosystem. This full-time position requires close working relationships with NVIDIA solution architects and business development leaders to drive design wins and revenue growth. If you have a passion for how technology is transforming the automotive industry through Artificial Intelligence, Deep Learning, and autonomous driving, we’d like to talk with you! What you'll be doing: - Work with OEM’s, manufacturers and ISVs in the areas of autonomous driving and cockpit electronics, and evangelize our deep learning based approach - Develop outstanding strategic relationships with customers’ R&D and procurement teams to identify new opportunities and drive design wins - Acquire deep understanding of customers’ system architecture, existing solutions, development plans and competition status, including product strengths / weaknesses, market position and technical / commercial challenges to best position NVIDIA - Engage and steer internal stake holders e.g. Development, Marketing and Operations teams to provide customer best-in-class service and drive business growth - Identify vehicle platforms and respective key personnel at Tier 1 customers, as they relate to applications of NVIDIA’s automotive products What we need to see: - Possess account management skills, and have the technical depth that allows them to understand the needs of the account - Experience developing relationships with key technical and business roles at top automotive companies - 15+ years of experience in business development or sales in technology for automotive - Strong written and verbal communication skills are a must, as well as leadership skills - BS in Engineering, Business or equivalent experience Ways to stand out from the crowd: - Pre-existing relationships at targeted accounts are desirable - Knowledge of CPU, GPU, and artificial intelligence/deep learning - Knowledge of ADAS and automated driving application and technology - Background of advanced cockpit and infotainment designs 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! Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 248,000 USD - 396,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Account Manager, Tesla Motors
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 Automotive Account Manager to support Tesla Motors in automated driving, cockpit applications and the automotive ecosystem. This full-time position requires close working relationships with NVIDIA solution architects and business development leaders to drive design wins and revenue growth. If you have a passion for how technology is transforming the automotive industry through Artificial Intelligence, Deep Learning, and autonomous driving, we’d like to talk with you! What you'll be doing: - Work with OEM’s, manufacturers and ISVs in the areas of autonomous driving and cockpit electronics, and evangelize our deep learning based approach - Develop outstanding strategic relationships with customers’ R&D and procurement teams to identify new opportunities and drive design wins - Acquire deep understanding of customers’ system architecture, existing solutions, development plans and competition status, including product strengths / weaknesses, market position and technical / commercial challenges to best position NVIDIA - Engage and steer internal stake holders e.g. Development, Marketing and Operations teams to provide customer best-in-class service and drive business growth - Identify vehicle platforms and respective key personnel at Tier 1 customers, as they relate to applications of NVIDIA’s automotive products What we need to see: - Possess account management skills, and have the technical depth that allows them to understand the needs of the account - Experience developing relationships with key technical and business roles at top automotive companies - 12+ years of experience in business development or sales in technology for automotive - Strong written and verbal communication skills are a must, as well as leadership skills - BS in Engineering, Business or equivalent experience Ways to stand out from the crowd: - Pre-existing relationships at targeted accounts are desirable - Knowledge of CPU, GPU, and artificial intelligence/deep learning - Knowledge of ADAS and automated driving application and technology - Background of advanced cockpit and infotainment designs 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! Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Applied Research Engineer, Accelerator Algo...
As the world’s leading accelerated computing company, we are paving the way with innovations in self-driving cars, robotics, machine learning, supercomputing, and visualization. We are building a team that will truly change the world and would love for you to join us. We are seeking a Senior Applied Research Engineer, Accelerator Algorithms to drive applied research and architecture for algorithms on NVIDIA’s Programmable Vision Accelerator (PVA), a power-efficient, deterministic VLIW/SIMD processor used across NVIDIA DRIVE, Jetson, and IGX platforms. In this role, you will analyze real-world AV and physical AI workloads across multimodal sensor processing, perception pipelines, sensor fusion, and real-time control loops, identify workloads well suited for the PVA and translate them into optimized algorithms. The successful candidate will be equally comfortable analyzing emerging workloads, prototyping accelerator-friendly algorithms, reasoning about memory and execution models, and collaborating across research, compiler, SDK, systems software, and hardware architecture teams. This role will directly influence future PVA hardware architecture, programming model, compiler, SDK, and systems software features. What You Will Be Doing: - Research and characterize real-world AV and physical AI workloads to identify algorithms that map well to PVA. - Develop and optimize PVA algorithms using instruction-level parallelism, memory-aware scheduling, efficient data movement and vectorized execution. - Translate workload and algorithm insights into requirements for PVA hardware architecture, compilers, SDKs, profiling tools, and systems software. - Build prototypes, benchmarks, and performance models to evaluate PVA algorithm performance across current and future hardware architectures. - Leverage modern AI-assisted development tools and agentic workflows to accelerate workload analysis, algorithm creation, benchmarking, and performance exploration. - Partner with internal teams and customers to understand their systems and production workloads, and drive integration of PVA-accelerated algorithms into final products to deliver real-world performance, power, and latency benefits. - Publish, present, and communicate technical findings across research and engineering teams where appropriate. What We Need To See: - BS/MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related field, or equivalent experience. - 12+ years of experience in applied research, programmable accelerator algorithm design, computer architecture, or high-performance computing. - Experience with DSP, SIMD, VLIW, fixed-point arithmetic, memory hierarchy, and low-level performance optimization. - Experience with HW/SW co-design, workload characterization, performance modeling, benchmarking, and bottleneck analysis. - Familiarity with emerging physical AI workloads such as VLA models, multimodal perception, sensor processing, autonomous systems, or robotics systems. - Strong programming skills in C++, Python, CUDA, or similar environments. - Excellent communication skills and the ability to explain complex technical tradeoffs clearly. - Strong ownership, technical judgment, and ability to operate in ambiguous problem spaces. Ways To Stand Out From The Crowd: - Hands-on experience with CUDA, ROS/ROS2, AV or robotics middleware, sensor processing frameworks, profiling tools, and heterogeneous compute pipelines. - Strong research track record in computer architecture, autonomous systems or sensor processing. - Familiarity with safety-conscious development processes such as ISO 26262, IEC 61508, or similar standards. 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 love a challenge, we want to hear from you. NVIDIA is leading the way in accelerated computing, robotics, high-performance computing, and physical AI. We are looking for extraordinary people to help us shape the programmable accelerators that will power the next generation of autonomous machines.
Senior Technical Program Manager - Platform Soluti...
NVIDIA’s deep learning platforms have made major impact to various fields is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these unique opportunities in deep learning cloud solutions. Our work makes a major impact in various fields and is being actively used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working, and creative people to help us reach our Data Centers Engineering goals. What you’ll be doing: - You will lead planning and engineering activities for t he NVIDIA Platforms and Solutions teams. The program includes a comprehensive catalog of GPU-accelerated software and services that empower organizations to develop and deploy AI projects. - You will collaborate with multiple NVIDIA product and engineering teams to program manage the solutions for developers to build AI services using NVIDIA software made available through NGC. - You will be the bridge between global OEMs, partners and NVIDIA product teams, creating awesome platforms for AI development. - You will also partner with Engineering, Sales, Marketing, PR and Legal teams to drive the adoption and growth of NVIDIA’s software portfolio across Conversational AI, Robotics, Medical Imaging, Autonomous Driving. - In this role you'll be gathering requirements, helping prioritization, scheduling, and planning for all phases of the product life cycle. Develop and manage milestones and schedules for the many moving parts that need to come together. - Manage and improve existing product development and software release processes; collaborate with engineering management on improving the development workflow and engineering efficiency. You will have the opportunity to interact with diverse technical groups, spanning all organizational levels. What we need to see: - Ability to think strategically and tactically and to build consensus to make programs successful - You should be detail oriented with proven ability to multitask, in a dynamic environment with shifting priorities and changing requirements. Must have hands on experience with software development and process specifically for system software development. - Thorough knowledge of software /hardware engineering principles - Proven experience to creatively resolve technical issues and resource conflicts. - Enthusiastic, energetic, responsive and passionate about finding opportunities for process improvement. - Ability to think strategically and tactically and to build consensus to make programs successful. You should have strong problem-solving skills, consistently successful implementing systematic solutions. - MS EE or CS (or equivalent experience) with 8+ years of experience Ways to stand out from the crowd: - 5 years programming of a modern programming language is highly desired - Significant experience in building solutions for on-premises and Cloud infrastructure - Deep understanding of software engineering principles and enterprise system architecture - Previous experience with productizing enterprise server systems including experience of - coordinating activities between HW / SW organizations is highly desirable - Having experience with Agile tools and process in support of this role, is a plus and xperience with productivity tools and process automation is big plus NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come, join our Platform and Services team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
AI Factory CPU focused Solutions Architect
Do you want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect with experience in designing, building, and maintaining large-scale HPC and AI infrastructure to join our team at NVIDIA. As Solution Architects, we are actively helping make AI Factories a reality. Working closely with customers and partners to address unsolved problems in the industry, our team helps to deploy and operationalize AI solutions at scale. What you'll be doing: Our day-to-day work involves helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks. For this particular role, that means having a deep technical understanding of NVIDIA Reference Architectures, and using that understanding to enable customers adopting our CPU-based solutions as part of the overall NVIDIA AI Factory. This is a multi-faceted role necessitating being comfortable working on not just hardware and software elements, but also the larger AI workflow and operationalization of large scale compute resources. We succeed when we help our customers overcome barriers to adopting our best known methods. As the technical leader for the CPU components within the NVIDIA AI Factory, you will play an instrumental role in driving that success. If this sounds exciting to you, then NVIDIA might be your new home. As a team, we also excel at sharing knowledge with our colleagues, whether it's delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. By collaborating with executives and engineering, we tackle sophisticated problems and help bring NVIDIA's premiere technologies to life. Our mission is to solve the problems that nobody else has solved yet, and we need someone to be an instrumental part of that! What we need to see: - Experience with defining, deploying, and testing large scale reference architectures for High Performance Computing and AI. - A track record of defining and using MLOps and AI workflow tools and processes. - 6 or more years of hands-on expertise with modern data center architectures and interaction between CPUs, GPUs, and networking. - Strong foundational expertise and a BS, MS, or equivalent experience in Engineering. - Strong analytical and problem-solving skills, along with an ability to articulate what you know to others. - Ability to multitask efficiently in a multifaceted environment. - Experienced with organizing, presenting, and discussing technical materials with groups that can be comprised of a range of technical capability. - Flexibility to adapt in fluid situations, especially with partners or customers. - Comfortable with occasional travel to customer sites. Ways to stand out from the crowd: - Hands-on experience with Arm-based server processors and the Arm software ecosystem. - Proficiency with tooling, automation, and performance testing for large-scale clusters, preferably using AI tools. - Deep understanding of Agentic AI and inference workflows. - Experience building, using, and explaining reinforcement learning. - Willingness and ability to learn quickly as we address sophisticated problems, and an understanding of how all elements of the AI Factory interact with each other. 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! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Software Engineer, Multi-Sensor Fusion
Intelligent machines powered by Artificial Intelligence computers that can learn, reason, and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are now looking for an extraordinary senior software engineer in multi-sensor fusion for obstacle perception to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will work on building world-class solutions for obstacle perception by tracking and fusing multiple frames from multiple sources of detections. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime. What You'll Be Doing: - Design and develop a robust tracking and fusion algorithm that improves the accuracy and consistency of the detection of dynamic obstacles, moving or stationary, such as vehicles, VRUs, cones and barrels, and road hazards. - Identify and analyze the strength and weakness of the developed obstacle perception and fusion under complicated and diverse scenarios. - Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness. - Define and develop meaningful performance metrics for the perception of dynamic obstacles, which guide the algorithm iterations and prevent regression with large-scale offline data sets. What We Need To See: - BS/MS/PhD in CS, EE, sciences or related fields (or equivalent experience) - 5+ years of total experience in related fields of SW development, with the most recent 3+ years of hands-on work experience in developing perception and fusion algorithms to solve sophisticated real world problems. - Familiar with common data association and fusion algorithms. - Experience in data-driven development and collaboration with data and ground truth teams. - Strong programming skills in modern C++. - Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other. Ways To Stand Out From The Crowd: - Proven expertise in developing perception solutions for autonomous driving or robotics. - Hands-on experience in Camera, Radar, Lidar and/or ultrasonic sensors. - Background in multi-view geometry and occupancy grid tracking is a plus, but not required. NVIDIA has some of the most forward-thinking and hardworking people in the world. If you're creative and autonomous, 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, 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 an accommodation.
Senior AI Compute Engineer
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 brain 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 a 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 is looking for an AI Computer Engineer to join its NVIDIA Infrastructure Specialists (NVIS) team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI factory systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyse, define and implement large scale AI Factory projects. The scope of these efforts includes a combination of Networking, System Design and Automation while being the face to the customer. What you will be doing: - Primary responsibilities will include deploying, managing, and maintaining AI infrastructure for new and existing customers. - Be the domain expert with customers during planning calls through implementation. - Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world! - Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: - Bachelor’s degree in computer science, Electrical Engineering, or a related field, or equivalent experience. - 8+ years providing in-depth support and deployment services in data centers, solving problems for hardware and software products. - Knowledge and experience with Linux Operating System, administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging. - Knowledge and experience with Data center network products and protocols. - Knowledge and experience with Data center monitoring solutions. - Good interpersonal skills with the ability to maintain and deliver resolutions for customer-blocking issues as they arise. Excellent verbal and written English skills. - Strong organizational skills and ability to prioritize/multi-task easily with limited supervision. Ways to stand out from the crowd: - NVIDIA Certification like: AI Infrastructure and Operations/AI Infrastructure/AI Operations or equivalent. - Kubernetes Experience. - Experience with AI-focused hardware(GPUs) or software(Training/Inferencing). - Scripting/Automation tooling background - Industry-standard data center certifications. 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 manager who loves a challenge? Are you ready to become the staff member you always wanted to be? Come and be part of the best SW design team in the industry! We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. We are considering the following: Italy: The base salary range is 66,000 EUR – 114,000 EUR for level 4, and 86,250 EUR – 149,500 EUR for level 5.
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