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Senior Software Engineer, CUTLASS Kernels
NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs. If you are passionate about developing and optimizing math kernels to extract the highest performance out of the hardware architecture, apply to join the CUTLASS team today! What you'll get to do: - Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution using CUTLASS CUDA C++ and Python DSL for Blackwell, Rubin, and future architectures. - Optimize kernels for peak throughput on both silicon and software performance simulators. - Collaborate with teams across NVIDIA including the GPU architecture, NVVM/PTX compiler, CUDA library, and DL frameworks teams to ensure fast, functional, and timely kernel delivery to customers. What we need to see: - Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience). - 3+ years of relevant industry experience. - Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing. - Experience with CUDA, OpenCL, HIP, SYCL, Mojo, Pallas, Triton, Mosaic, Halide, or any general-purpose or domain-specific programming language targeting highly parallel accelerators. - Deep understanding of computer architecture and some experience working at the assembly level. Ways to stand out from the crowd: - Experience writing code specifically targeting NVIDIA Tensor Cores, particularly through PTX or CUDA/cuTile. - Open-source contributions to math kernel libraries or frameworks. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us 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 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 June 5, 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.
Deep Learning Performance Architect, CUTLASS DSL
Are you passionate about programming languages, compiler technology, and GPU performance? Do you want to help shape the future of high-performance kernel development for AI? We are looking for outstanding engineers to build CUTLASS DSL, a Python-native language for GPU kernel development, along with the MLIR dialects and lowering passes behind it. In this role, you will also help accelerate kernel compilation while delivering performance comparable to CUTLASS C++, enabling efficient hardware-software co-design for NVIDIA's next generation of AI platforms. What you'll be doing: - Design, develop, and optimize C UTLASS DSL, a Python-native language for high-performance GPU kernel development - Build and advance the MLIR dialects, lowering passes, and code generation flows that power the C UTLASS DSL stack - Drive innovations that improve kernel compilation speed while maintaining performance on par with CUTLASS C++ - Collaborate closely with architecture, research, software product teams, and the open-source community to bring cutting-edge optimizations into real products What we need to see: - MS, PhD, or equivalent experience in Computer Science, Software Engineering, or a related field - 2+ years of relevant work experience - Excellent programming skills in Python and strong proficiency in C++ - Hands-on experience with DSLs, compilers, or code generation systems - Strong command of the MLIR/LLVM stack, including IR design and pass optimization - Strong communication skills and the ability to thrive in a highly collaborative environment Ways to stand out from the crowd: - Deep understanding of the CUDA GPU programming model, GPU microarchitecture, and performance analysis and optimization techniques - Familiarity with key high-performance computing abstractions such as Layout, Tile, MMA, and TMA in the CuTe ecosystem
Senior Developer Relations Manager - Gen AI
We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to champion the adoption of NVIDIA’s advanced AI and computing platforms in the area of Agentic AI, Generative AI and Sovereign AI. The ideal candidate brings a blend of deep technical expertise combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. What you'll be doing: - Develop and maintain deep technical expertise in Agentic AI, Generative AI and AI Models for multimodality data & models. Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in Sovereign AI, with cross-functional partners to drive adoption of NVIDIA technologies. - Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, platforms, and pipelines. - Guide partners through onboarding and integration by providing technical resources—such as sample code, guides, and demo pipelines—to accelerate Sovereign AI-specific technology adoption and foster co-innovation of next-generation solutions. - Map and monitor the developer ecosystem to identify growth opportunities, collaborating with engineering, product management, and marketing to inform roadmaps and optimize partner adoption strategies. - Engage partner technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams. - Deep understanding of Sovereign AI Technology and Use Cases enabling both governments and enterprises adopters. - Discover new workflows, identify blockers to ISV adoption, and report back to the product teams. - Collaborate with NVIDIA partner managers, solution architects, industry business development managers, local and regional Sovereign AI entities, sales and marketing. - We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful. What we need to see: - Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field. - A minimum of 10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architect, product management, including 5+ years of direct hands-on experience in Agentic AI, Gen AI, LLMs and VLM in Enterprise-scale ISV software development, government workflow etc. - Proven experience leading, partnering, scaling developer programs at major technology companies, and ISVs, or within relevant verticals. - Significant technical depth in Agentic AI, Gen AI, LLMs and VLM software including for areas such as smart cities, healthcare, citizen services robotics, cloud and AI/ML and contributions to product integrations and software libraries. - Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops - Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators (across sales, legal, product or marketing teams as needed). - Skilled at distilling complex technical concepts for audiences from engineers to executives, with end-to-end experience in defining, integrating, building, and jointly marketing solutions with strategic ISV partners. - Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders. - Handson experience with software architecture design, implementation and programming skills - Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome-oriented activities and empathy for developers Ways to stand out from the crowd: - Experience creating or optimizing vertical-specific technical solutions using Agentic AI, Gen AI, LLMs and VLM for software workflows - Hands-on familiarity with advanced computing, AI, and/or GPU acceleration platforms, NVIDIA AI platforms & frameworks such as NEMO Framework, TRT, TRITON, Nemotron Models, RAPIDS, CUDA etc along with vertical specific model/algorithm optimization skills - Successful history of building and scaling developer communities and delivering impactful technical enablement programs. - Skilled in developing systems and tools to measure developer sentiment and track market trends, turning ecosystem insights into practical recommendations that guide product direction and strategic planning in Sovereign AI space - Expertise in building frameworks to capture developer sentiment and market shifts, translating real-time ecosystem dynamics into actionable intelligence for industry strategy and product rationalization in Agentic AI, Gen AI, LLMs and VLM for Sovereign AI and Government/Citizen services centric workflows With competitive salaries and a generous benefits package, we are widely considered to be one of the 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 best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, 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 accommodation.
Senior Software Engineer
We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking and virtualization. You will play a key role in validating and testing complex software products that support the InfiniBand protocol, delivering advanced networking services for cloud, HCP machine learning, and AI workloads. What You’ll Be Doing: - Build automated verification tests in a simulated environment for high-end hardware and software. - Collaborate with multiple teams to understand new network technologies, ensuring accurate modeling of complex network behaviors. - Enhance product quality by improving test coverage and developing comprehensive verification strategies. What We Need to See: - Bachelor’s or master’s degree in computer science, Data Science, or a related field, or equivalent experience. - Proven experience in Python programming. - Experience in developing modern Software Verification Systems, with a passion for algorithms. - 5+ years of experience in similar roles. - Strong skills in implementing and debugging software. - Outstanding software debugging and problem-solving skills. Ways to Stand Out from the Crowd: - Understanding of the OCI/network model. - Experience with Docker and Kubernetes. - Knowledge of C/C++ programming. - A scripting background (e.g., Bash, Groovy). Joining NVIDIA means being part of an exceptionally hard-working and ambitious team. We thrive on innovation and collaboration, and we strictly adhere to our mission of delivering world-class products. This is your chance to compete at the highest levels in the tech industry and determine the future of AI and supercomputing. We value our employees and provide an encouraging, inclusive environment where you can grow your career and achieve your goals. Be part of something truly groundbreaking and make a significant impact on the world! LI-Hybrid
Senior Solutions Architect, Physical AI and Roboti...
NVIDIA is hiring a Solution Architect for the AI Technology Centre team in Zurich, Switzerland. This role is ideal for scientists who can also clearly define and apply strong strategic capabilities. Applicants must have significant publication records, community recognition, and research credibility to partner with Europe’s outstanding research groups on equal terms. Why Switzerland? Switzerland is considered a leading robotics hub because it combines world‑class research at leading universities such as ETH Zurich, University of Zurich, EPFL with a uniquely dense ecosystem of top companies, AI talent, and industry partners that rapidly turn lab prototypes into real-world robots. What you'll be doing: - Participate in high impact research projects alongside university PIs and their research labs. - Identify and evaluate new high-value research opportunities in Robotics and Physical AI. - Champion the adoption of NVIDIA software platforms (such as Isaac Sim/Lab, Cosmos, GR00T, Warp, and Newton) to tackle groundbreaking scientific challenges. - Shape and nurture strategic institutional agreements with top Switzerland universities and research consortia. - Empower academic partners by helping them secure critical research funding from external sources. - Act as a bridge between academic partners and NVIDIA product, program, and engineering teams. Communicate software and hardware requirements to ensure our solutions continue to drive world-class research. - Deliver strategic insights on emerging trends, breakthroughs from the research ecosystem or labs. - Coordinate and deliver outreach activities (e.g., NVIDIA AI Days, NVIDIA Robotics Days). - Help university PIs mentor postgraduate students. What we need to see: - Ph.D. in Robotics, Mechanical Engineering, Physics, or Computer Science (Computer Vision, AI, HCI specialisations). - Research publications in Physical AI, Robotics and AI topics. - Experience working in academic research groups. - Comprehensive knowledge of Physical AI and Robotics: robot learning, manipulation, locomotion, perception, sim-to-real transfer, world models, or autonomous systems. - Experience with scientific policy engagement, grant processes, or national/European research program structures. - Excellent written and verbal communication skills in English. - Proven ability to work collaboratively in a team environment and learn new technologies quickly. - 5+ years of hands-on experience in AI research for robotics. Ways to stand out from the crowd: - Postdoctoral or faculty experience is a plus, but no more than 10 years following a Ph.D. - Recognition across the research community with awards, named fellowships and grants in the robotics domain. - Experience in technology transfer - advancing research prototypes toward product integration or extensive platform deployment. - Experience building and implementing projects with NVIDIA software 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. NVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer!
Full-Stack Solution Engineer - Sensorized Human
At NVIDIA, we are closing the "embodiment gap." We don’t just build robots; we build digital and physical nervous systems that allow humans to teach robots. You will lead the development of DexUMI (Dexterous Universal Manipulation Interface), a framework that leverages human-worn hardware and advanced computer vision to transfer complex skills from human hands to robotic actuators. This is a True Full-Stack role in Solutions Architecture Team: you will touch everything from the tactile sensor firmware on a wearable exoskeleton to the cloud-based data pipelines that train our diffusion policies. What you'll be doing: - Hardware-Software Co-Design: Maintain and iterate on the DexUMI wearable exoskeleton. You will bridge the kinematics gap between human hands and diverse robot end-effectors (e.g., XHand, Inspire Hand). - Sensor Fusion & Integration: Integrate high-fidelity tactile sensors and IMUs into wearable interfaces. Ensure low-latency data streaming. - Vision & Perception Pipelines: Implement and optimize the "software adaptation" layer—using tools to segment human operators out of training data and robot embodiments. - Data Engineering for AI: Build robust pipelines to collect, clean, and replay dexterous manipulation data for Imitation Learning and Diffusion Policies. - Optimization: Solve bi-level optimization problems to parameterize exoskeleton designs that maximize human wearability while preserving robot-equivalent fingertip workspaces. What we need to see: - A MS/PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience) with at least 1 years of research and engineering experience. - The "Body" (Hardware/Embedded): Proficiency in C/C++ for embedded systems and ROS2, with hands-on experience in tactile sensing, force-feedback (haptics), and motor control. - Mechatronics & Prototyping: Experience with CAD (SolidWorks/Fusion360) and rapid prototyping, including 3D printing and PCB design. - The "Brain" (Software/AI): Expertise in Python and deep learning frameworks (PyTorch), with familiarity in computer vision (CV) models. - Advanced AI Techniques (Plus): Understanding of Imitation Learning or Reinforcement Learning (RL) is a strong plus. - The "Bridge" (Integration): Experience with Record3D or iPhone-based spatial tracking, enabling integration between perception and physical systems. - Systems & Infrastructure: Experience working in Ubuntu/Linux environments with high-performance data serialization tools such as Protobuf and MQTT.
Technical Marketing Engineer - Physical AI for Hea...
We are looking for a Technical Marketing Engineer who is passionate about Physical AI and healthcare. This person will serve as a domain expert on NVIDIA's Physical AI platform stack for medical applications. You will own early enablement for the platform, building the technical content that demonstrates NVIDIA's accelerated computing stack for simulation, orchestration, and physical AI across surgical robotics and medical devices. You will develop video tutorials, technical blog posts, user guides, walk-throughs, demos, developer workshops, and community hackathons that help robotics developers and MedTech engineers adopt and scale Physical AI. You will work alongside our Physical AI, medical imaging, and healthcare AI researchers, engineers, and product teams to demonstrate the latest NVIDIA advancements in MedTech, and partner with the broader TME team covering healthcare AI and smart hospitals to deliver a coherent developer experience across the stack. What you will be doing: - Become an authority on NVIDIA's Physical AI platform stack for healthcare, owning early enablement content and developer onboarding - Develop demos, workshops, Jupyter notebooks, and tutorials that help developers build and accelerate workflows in simulation, orchestration, and physical AI for surgical robotics and medical devices - Build and nurture a vibrant developer community through forums, GitHub, workshops, hackathons, and direct engagement, growing the Physical AI for healthcare ecosystem - Partner with product, product marketing, engineering, and research teams to drive internal benchmarking and validation of GPU-accelerated Physical AI and medical workflows - Promote NVIDIA's MedTech Open Models, Cosmos, Isaac Sim/Lab, Isaac for Healthcare, Holoscan, GR00T, and related Physical AI platforms and ecosystem libraries to customers and the developer community - Channel external community feedback into product, documentation, and developer experience improvements What we need to see: - Bachelor's degree in Computer Science, Robotics, Biomedical Engineering, Electrical Engineering, or equivalent experience - 5+ years of meaningful work experience in software development, robotics engineering, technical evangelism, technical marketing, or similar - Experience with robotics development, medical devices, medical imaging, or healthcare technology applications - Skilled at presenting to technical audiences and generating developer content, including blogs, videos, documentation, and demos - Product sense and the ability to translate product value into compelling demonstrations - Strong time management and organization skills for coordinating multiple initiatives and product launches in parallel - Passion for community building and for improving developer experience through feedback, documentation, and direct engagement Ways to stand out from the crowd: - Background with NVIDIA GPUs and SDKs, especially Isaac Sim, Isaac Lab, Holoscan, or CUDA for robotics and medical applications - Experience with ROS/ROS2, Gazebo, or other robot simulation frameworks and middleware - Experience with surgical robotics, rehabilitation robots, or medical device development pipelines - Contributions to open-source robotics or healthcare AI projects, or active participation in robotics/medical device communities NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented and forward-thinking individuals in the world working for us. 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 - 212,750 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 6, 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 AI Engineer
NVIDIA is looking for an outstanding and motivated Senior ASIC AI Engineer to develop high performance Agentic AI systems to boost productivity of GPU ASIC design flows . This role offers a chance to create real impact in a dynamic, tech-driven company. If you are passionate and knowledgeable about using the latest AI framework, this role offers opportunities to apply these technologies to GPU hardware design. Our team consists of outstanding people worldwide, working to push the boundaries of what is possible today and define the future of computing. What you’ll be doing: - Develop AI powered methodologies and Agents to generate micro-architecture, RTL, and physical design starting with specification. - Using AI agents to process large data and existing codebase to generate skills that can be widely used. - Evaluate latest Multi-agent collaboration frameworks and apply them to generate area/power/timing/functionally accurate designs for memory system units in the GPU - Collaborate with architects, hardware engineers, and physical design engineers to accomplish your goals. - Find opportunities to integrate AI workflows into existing flows. What we need to see: - BS (or equivalent experience) in Electrical Engineering, Computer Engineering, or related fields with 5+ years of experience, or MS with 3+ years of relevant experience. - Direct experience with AI-driven development such as coding agents and Agentic workflows. Ability to map a problem to AI workflows. - Proficiency in AI orchestration tools like LangChain or LlamaIndex and reasoning methodologies. Knowledgeable in memory and context management, evaluation frameworks to measure agent accuracy. - Experience with System Verilog, RTL and hardware description language. - A good understanding of ASIC flow including RTL, verification, logic synthesis, timing analysis. - Familiarity with computer architecture concepts and implementation of caches, arbitration and scheduling polices and interconnects. - Strong interpersonal and communication skills to collaborate across teams. 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 June 6, 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, Generative AI
NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training Large Language Models (LLMs) and Agentic AI . As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of NVIDIA's generative AI technologies. This position requires a deep understanding of language models, particularly LLMs, and a strong proficiency in designing and implementing agentic and RAG-based workflows. What you will be doing: - Architect end-to-end generative AI solutions with a focus on LLMs, Agentic and RAG workflows. - Collaborate closely with customers to understand their language-related business challenges and design tailored solutions. - Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of LLM and RAG capabilities. - Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI technologies. - Engage directly with customers to understand their language-related requirements and challenges. - Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and RAG workflows and l ead the training and optimization of Large Language Models using NVIDIA’s hardware and software platforms. - Implement strategies for efficient and effective training of LLMs to achieve optimal performance. - Design and implement RAG-based workflows to enhance content generation and information retrieval. - Work closely with customers to integrate RAG workflows into their applications and systems and s tay abreast of the latest developments in language models and generative AI technologies. - Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions. What we need to see: - B.Tech ,Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience - 8+ years of hands-on experience in a technical role, specifically focusing on generative AI, with a strong emphasis on training Large Language Models (LLMs). - Proven track record of successfully deploying and optimizing LLM models for inference in production environments. - In-depth understanding of state-of-the-art language models, including but not limited to GPT-3, BERT, or similar architectures. - Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. - Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs. - Strong knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference. - Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. - Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences. Ways to stand out from the crowd: - Proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. - Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. - Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts. - Hands-on experience with NVIDIA GPU technologies, and GPU cluster management and ability to design and implement scalable and efficient workflows for LLM training and inference on GPU clusters 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! 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.
Software R&D Engineer, Digital Logic Synthesis - N...
NVIDIA's success builds on a foundation of industry leading hardware. A key strategy in achieving this is our combining of the best of external EDA with highly optimized, internal EDA tools. Our team develops these tools by fusing advances in parallel computing, machine learning, and novel algorithms in C++. We are seeking an innovative EDA Software R&D Engineer with particular interest in strategies and algorithms for RTL synthesis, digital logic, timing, and power optimization. Such optimization usually includes a mix of graph-based algorithms, AI, and feedback from RTL and physical designers, so having experience relevant to each of those areas would be ideal. In practice, techniques often depend on many related domains, so a solid understanding of DFT, clock distribution, power gating, and other SOC integration aspects is essential. Developing software within a leading hardware company means getting to almost exclusively focus on the latest processes and most advanced designs. We're not bogged down by legacy support, niche roles, or convoluted approval processes. Our developers enjoy unusually high intellectual freedom and the ability to explore broad roles. If you like to work across many technical areas and see your successes directly realized in the world's best AI hardware, this is it! What you’ll be doing: - Invent and develop new algorithms for RTL synthesis, digital logic optimization, graph-based RTL traversal, analysis, and manipulation. - Build physical-aware synthesis techniques using placement/congestion/timing feedback to improve PPA. - Develop strategies for rapidly analyzing the RTL change impact on timing, power, area, and impact to DFT, clocking, and power delivery on design. - Prototype and evaluate ML methods (e.g., GNNs, RL, models) to guide optimization decisions; integrate successful approaches into production. - Explore high performance algorithms for clustering, min cost tree covering (technology mapping), datapath implementation and other details of logic synthesis, especially that efficiently incorporate human insight. - As a team, own the whole process from discovery and invention of new optimization opportunities, to developing solutions and working directly inside design teams to facilitate deployment. What we need to see: - MS or PhD in Electrical Engineering or Computer Science (or equivalent experience). - Experience with EDA software and/or VLSI flows with focus in logic synthesis or digital optimization. - Strong CS fundamentals and modern C++ experience (templates/STL, concurrency libraries, profiling and performance optimization, data structures, algorithms, performance, concurrency, testing). - Solid understanding of RTL (Verilog/SystemVerilog) and digital design concepts (timing, clocking, DFT basics, power intent). - Experience in EDA techniques, including logic synthesis, global route, static timing analysis, power & area optimization and SAT solvers. Ways to stand out from the crowd: - Previous experience involving RTL logic synthesis and multi stage logic optimization is a plus. - Experience with common EDA building blocks, such as Verific for Verilog parsing, Espresso for logic minimization, and various other components for logic rewriting, tree coverage, SAT solvers, and combinatorial optimization. - Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc. - Experience with various machine learning techniques. NVIDIA is widely considered to be one of the technology world’s most desirable employers, and due to outstanding advancements, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, 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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 6, 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 Software Engineer, Kernel Libraries
We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the inference systems software stack! We build innovative AI systems software to accelerate for AI inference. As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for NVIDIA's hardware architecture. This means designing and building things like new abstractions, efficient attention kernel implementations, new LLM inference runtimes components, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads. What you'll be doing: - Innovating and developing new AI systems technologies for efficient inference - Designing, implementing, and optimizing kernels for high impact AI workloads - Designing and implementing extensible abstractions for LLM serving engines - Building efficient just-in-time domain specific compilers and runtimes - Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams - Contributing to open source communities like FlashInfer, vLLM, and SGLang What we need to see: - Masters degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); PhD are preferred - 6+ years (academic/ industry) experience with ML/DL systems development preferable - Strong experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC. - Strong Python and C/C++ programming skills Ways to stand out from the crowd: - Background in domain specific compiler and library solutions for LLM inference and training (e.g. FlashInfer, Flash Attention) - Expertise in inference engines like vLLM and SGLang - Expertise in machine learning compilers (e.g. Apache TVM, MLIR) - Strong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, cuTile, Triton, or similar) - Open source project ownership or contributions 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 June 6, 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.
Cell Modeling and Verification Engineer - New Coll...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! The NVIDIA VLSI team is looking for a Cell Modeling and Verification Engineer with strong experience in hardware design and methodologies to help develop NVIDIA's ground breaking ASIC products and work hands on with new NVIDIA hardware to ensure it meets design, feature, and quality objectives. Our team is at the intersection of circuit design and digital design to help craft the most power-efficient and performance leading SoCs and GPUs to push the state of the art ASIC Verilog modelling. What you will be doing: - Work with sophisticated technologies and develop behavioral model and verification for custom mixed signal design cells that would be used on all the NVIDIA products. - Use Verilog, SystemVerilog, Perl, or Python and understanding of PLL and other high-speed interconnects to model, verify, emulate/prototype mixed-signal designs. - Collaborate with cross function teams with regards to library build, cell integration, ASIC verification and DFT simulation. - Document, implement, and deliver fully verified and high performance RTL to achieve design targets. What we need to see: - Bachelors or Masters in Electrical Engineering or Computer Engineering (or equivalent experience). - Hands-on experience with RTL simulation and waveform debug. - Strong understanding of Verilog HDL. - Scripting experiences and skills using Python or Perl. - Knowledge of fundamental digital design and logic design concepts. Ways to stand out from the crowd: - Previous digital design experience is a plus. - Previous experience running simulations in Verilog. - Shown ability to collaborate with many groups and communicate technical details. 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 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 6, 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 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 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++ and Python. - Comprehensive knowledge of Linux and Windows operating systems. - Developer background who has experience of using AI tools to automate and develop test cases, fix product bugs, develop QA end-to-end workflow. Ways to stand out from the crowd: - Excellent English communication and collaboration skills. - Deep understanding of CUDA, HPC, Gcov, VectorCAST, Coverity.
Developer Relations Manager, Retail & Media Entert...
NVIDIA is the world leader in accelerated computing and artificial intelligence, and has been powering up Deep Learning, AI, accelerated data analytics, autonomous systems and robots around the world. NVIDIA's customers include global tech-titans and span multiple verticals such as Manufacturing, Retail, Automotive, Media and Entertainment, CSP, Healthcare, Telco and others. We are rapidly growing into various industries and verticals. We’re looking for a technical Developer Relations Manager to lead engagement with startups and software partners building AI agents and generative AI applications for the retail and media and entertainment industries. This role is a key member of the NVIDIA team that would manage our technical engagements in Retails and Media and Entertainment industries. In this role you will evangelize NVIDIA’s portfolio of technologies and accelerate its adoption among developers in this space. You should have a strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers. What you will be doing: - Act as the technical point of contact for startups and developers who are building native LLM and multi-modal applications or want to add AI Agents to their existing apps. - Help developers leverage NVIDIA’s tools for Gen AI and LLMs—including Triton Inference Server, TensorRT-LLM, NeMo Framework, and CUDA-accelerated pipelines—to optimize model performance and scalability. - Build and deliver sample applications, tutorials, and technical content that highlight best practices for building with LLMs and agentic workflows. - Partner with solution architects to benchmark improvements and support performance tuning of LLM deployments across NVIDIA platforms. - Guide startups through integration with NVIDIA’s Gen AI stack and support their certification in NVIDIA partner programs. - Represent the company at industry events, in customer meetings, developer meetups, and hackathons—evangelizing our LLM and Agentic AI strategy to technical and industry audiences. - Gather developer feedback to inform product and roadmap decisions related to LLM inference, training, and deployment tooling. - Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies. What we need to see: - Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.D’s is preferred. Intellectual curiosity and passion for innovation. - Experience in verticals/industries with good knowledge and trends in the industry. - Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks. - You will show a deep understanding of who and how to engage the developer’s product and engineering organizations with at least 8 years related experience. - 5+ years’ experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years’ experience in business development activities. - Able to work independently and possess excellent communication skills to drive customer and internal engagements. - Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome. - Execute and accelerate strategic decisions - Ability to effectively deliver value propositions for specific and targeted industries. - Ensure a positive experience for external customers and partners while working cross functionally within our organization. Ways to stand out from the crowd: - Hands-on experience building or optimizing retail or media-specific solutions. - Proven expertise in influencing and inspiring non-technical, C-level decision-makers. - Strong industry knowledge; direct experience in Retail, Media & Entertainment in EMEA. - Familiarity with advanced computing, AI, and/or GPU acceleration platforms including CUDA, Triton and NeMo. - Track record in designing and implementing systems for real-time processing and low-latency decision-making. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Senior System Software Engineer - Windows DevOps a...
NVIDIA is a pioneering company that revolutionized the computing world with its GPU technology, driving the growth of the PC gaming market and redefining modern computer graphics. With the recent advancement of GPU deep learning has ushered AI into a new era of computing, positioning GPUs as the driving force behind intelligent applications in productivity, gaming, and creative fields, solidifying NVIDIA's position as the leading "AI computing company." There is a growing emphasis on processing AI computations at the edge, closer to the source of data. This approach reduces latency, enhances real-time processing, and addresses privacy concerns by minimizing the need for sending data to centralized servers. As technology continues to advance, we can expect client-side AI (local execution) to play a pivotal role in shaping the digital landscape. The Windows AI Automation team is seeking a senior software engineer passionate about building and maintaining robust infrastructure for deploying high-quality AI applications and models. You will collaborate with a team of highly qualified engineers dedicated to creating top-tier infrastructure for Windows AI automation. If you have a real passion for setting up automation systems in the Windows AI ecosystem to achieve excellence, this could be an excellent opportunity for us to work together! What you'll be doing: - Develop, deploy, and sustain reliable infrastructure to efficiently run various AI workloads through different inference backends like WinML, Direct ML, TRT-RTX, and others. - Scope out the requirements for deploying various AI applications, benchmarks and models in automation, and develop solutions to measure accuracy, functionality and performance. - Develop Infrastructure to download AI models from various sources and efficiently handle a local repository, create an automated synchronization mechanism to keep repository up to date. - Analyze large datasets to derive insights and design visualizations, implement data processing engines to transform raw data into a more usable format for developers to review. - Collaborate with internal WinAI developers to identify and implement features in automation that help them quickly debug/isolate issues. - Understand existing infrastructure and debug issues in current frameworks. Identify performance bottlenecks and devise solutions to enhance efficiency. - Build, implement, and maintain robust continuous integration and continuous delivery workflows for automated build and deployment. What we need to see: - B.Tech or higher degree in Computer Science, Information Technology, Software engineering, or related field. - 5+ years of experience. - Strong analytical and problem-solving abilities, with the capacity to multitask optimally in a multifaceted environment. - Confirmed experience as a developer includes at least 4 years of proficiency in application development using C#, Java, or another programming language. You should also have exposure to at least one scripting language such as Python, Perl, or PHP. - Familiarity with databases and SQL and experience working with source control systems, CI/CD pipelines (Git, Perforce, Jenkins) , . - Outstanding written and oral communication skills, enabling effective collaboration with management and engineering teams. Ways to stand out from the crowd: - Experience of building robust backend automation systems with practical involvement in working the databases. - Familiarized in setting up visualization interfaces using Grafana, Kibana, or similar platforms. - Confirmed background working with Git, jenkins CICD pipelines. - Hands on experience with inference frameworks Llama.cpp, Ollama, Pyotrch etc. We are an equal-opportunity employer and value diversity at our company. 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.
Senior Mixed Signal Design 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 creativity and intelligence. Make the choice and join us today! This is a dynamic team working with state of the art, unique technology. If you are someone that loves a challenge, come join this diverse team and help move the needle! We are looking for a senior engineer to be part of the mixed-signal design team building next generation NVLINK. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. What you'll be doing: - Develop and implement high speed interfaces and analog circuits. You will have hands on experience taking innovative integrated circuit designs at data rates of 25Gbps and higher from concept through silicon characterization. - Help by defining circuit requirements and complete design from schematic, layout, and verification to characterization. - Conduct schematic design of deep-submicron CMOS technologies using Spectre, Hspice or like. - Take ownership for the architecture, transistor design and verification using industry standard EDA tools such as Cadence virtuoso. - Optimize circuit to meet the specifications for system performance. - Work closely with layout engineers by providing detailed floorplan and guidance for matching and high-speed routings. - Provide support for post-silicon bring-up and debugging. What we need to see: - Master and/or PhD of Science in Electrical Engineering, Computer Engineering or related field with strong analog design background (or equivalent experience) - 2 years analog design experience in industry - CMOS Analog / Mixed Signal Circuit Design Experience in deep sub-micron process (especially in FINFET) - Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like Spectre, HSpice, Finesim, XA) - Experience in crafting test bench environments for component and top level circuit verification - Behavioral modeling of analog and digital circuits - Strong debugging and analytical skills - Analog simulation for noise analysis, loop stability analysis, ac/dc/tran analysis, monte-carlo, etc. - Strong interpersonal skills and ability & desire to work as a great teammate are huge plus. 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 June 7, 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 Inference Performance Engineer - New College Gr...
We optimize and benchmark GenAI inference on NVIDIA's latest accelerators, defining the industry’s performance standards across language models, video generation, and speech workloads. We work directly within TensorRT-LLM, SGLang, and vLLM, building the tools that evaluate serving performance at scale. This team sits at the intersection of GPU performance engineering and public accountability. What You Will Be Doing: - Drive industry benchmark results: own the end-to-end optimization pipeline, implement and integrate optimizations in quantization, scheduling, memory management, and distributed inference across TensorRT-LLM, SGLang, and vLLM. - Define and optimize cutting-edge workloads: identify and shape next-generation inference benchmarks, multi-turn coding, agentic workflows, and other emerging AI use cases. Collaborate with framework and kernel teams to push performance to its extreme on large-scale LLM-MoE models, vision-language models, video diffusion models, recommendation, and speech workloads. - Architect distributed inference: Design and optimize execution from single-GPU to rack-scale clusters, managing performance across clusters of GPUs. - Establish performance methodology: Apply roofline analysis and systematic profiling to decompose bottlenecks across CUDA kernels, frameworks, and serving layers. - Influence the ecosystem: contribute to TensorRT-LLM, vLLM, SGLang, and other open-source projects. Partner with architecture, kernel, and compiler teams to shape GPU roadmaps based on real workload data. - Technical Leadership: Raise the technical bar for the team, drive cross-functional execution on tight benchmark timelines, and lead a world-class team. What We Need To See: - BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. - 2+ years of relevant software development experience. - Strong Python or C++ programming, software design, and software engineering skills. - Expertise with a DL framework such as PyTorch or JAX. - Proven track record of delivering measurable performance improvements in deep learning inference or high-performance systems. - Deep understanding of LLM/VLM architectures and inference mechanics: attention, KV caching, batching strategies, decode-phase bottlenecks, speculative decoding, disaggregated serving etc. Ways To Stand Out From The Crowd: - Prior experience with an LLM framework (TensorRT-LLM, vLLM, SGLang, etc) or a DL compiler in inference, deployment, algorithms, or implementation. - Prior experience with performance modeling, profiling, debug, and code optimization of a DL/HPC/high-performance application. - Experience with scale-out inference orchestration (MPI, NCCL, K8S) on large GPU clusters. - Expertise in kernel development (CUTLASS, cuteDSL, tilelang, OpenAI Triton) or compiler/runtime paths (torch.compile, graph lowering, operator fusion). Architectural knowledge of CPU, GPU, FPGA or other DL accelerators; GPU programming experience (CUDA). - Track record of leading ambiguous, high-impact technical programs across multiple teams under tight deadlines. GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems posed using human language. The GPU started out as the engine for simulating human imagination, conjuring up the outstanding virtual worlds of video games and Hollywood films. 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. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.” Come, join our DL Architecture team, where you can 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 7, 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.
Research Scientist, Electronic Design Automation -...
NVIDIA Research is searching for a world-class new college grad PhD researcher to drive groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). Deep learning and GPU acceleration are transforming the future of chip design, and this role offers the opportunity to shape that future. Widely considered to be one of the technology world’s most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you! What you'll be doing: - Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced AI techniques. - Innovate in EDA software and algorithms, with applications spanning supervised, unsupervised, reinforcement learning, agentic AI systems, as well as GPU-accelerated optimization methods. - Apply deep learning and GPU computing to improve ASIC and VLSI design tool flows. - Collaborate cross-functionally with circuit design, VLSI, and architecture teams, ensuring research translates into real-world product impact. - Publish and present your original research, speak at conferences and events - Collaborate with external researchers and a diverse set of internal product teams. What we need to see: - PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience) - Strong Programming & Systems Skills: Proficiency in at least two of Python, PyTorch, C++, or CUDA - Publications in top EDA and AI/ML venues - Domain & Technical Expertise: Expertise in EDA (e.g., synthesis, physical design, design verification, timing) algorithms combined with publications and project experience applying machine learning/deep learning (supervised, unsupervised, RL, agentic AI) to impactful problems. - Excellent self-motivation, a high degree of creativity, and a passion for research, collaboration skills and the ability to work effectively within a research team. - Excellent written and verbal communication skills, with proven experience communicating technical work (e.g., academic presentations, poster sessions); ability to synthesize and explain complex technical concepts. 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 7, 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.
Software Engineer, Hardware Tools and Methodology...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! The NVIDIA Clocks team is looking for a dedicated and motivated Software developer with particular interest in algorithms and RTL Design. Understanding both Software and Hardware principles will be a key requirement for this role. What you'll be doing: - Architect, design, develop and support tools for RTL generation across all NVIDIA products. - Architect automated workflows for supporting deliverables to multiple cross functional teams. - Improve algorithms (in C++) for automated connectivity, auto logic insertion and post processing Verilog RTL. - Improve quality of existing tools and flows used by the team. What we need to see: - Master's degree or higher in Computer Engineer or Electrical Engineering (or equivalent experience). - Coding skills in C++. - Good understanding of ASIC Design and understanding of Verilog RTL. - Experience working across multi-functional teams. Ways to stand out from the crowd: - Prior experience in RTL design (Verilog), verification and synthesis. - Experience in C++, Perl, Python, Make scripting. - Knowledge of Clocks/Resets design and verification. NVIDIA is widely considered one of the technology world’s most desirable employers. We employ some of the most forward-thinking and talented people in the world. Are you passionate about joining our life work to amplify human imagination and intelligence? If you are creative, collaborative, and have a real passion for design methodology and automation, we want to hear from you. 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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 7, 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 Technical Product Manager – In-Vehicle Gene...
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. NVIDIA is redefining the evolution of intelligent vehicles by bringing groundbreaking AI directly into the cockpit. We are looking for a highly technical Product Manager to own the strategy, roadmap, and execution of next-generation in-vehicle Generative AI applications that transform the driver and occupant experience. In this role, you will work where AI, automotive systems, and user experience meet. You will own products using NVIDIA’s full-stack capabilities across accelerated computing, edge AI, and software platforms. You will build on existing in-vehicle sensing technologies such as driver monitoring systems (DMS) and occupant monitoring systems (OMS), extending them into intelligent, conversational, and context-aware AI experiences. If you're passionate about crafting human engagement with AI in real-world environments and want to build systems like or beyond Tesla’s Grok, this is your chance. You’ll be joining a team that is crafting the future of AI-defined vehicles, where software and intelligence are as critical as hardware. At NVIDIA, we are pushing the boundaries of what’s possible—from autonomous driving to fully intelligent, personalized in-cabin experiences. What You’ll Be Doing: - Define and drive the product vision, strategy, and roadmap for AI-powered generative experiences within vehicles. - Lead end-to-end product execution, coordinating every stage from initial idea through deployment, for AI-powered features that improve driver and passenger interaction. - Find opportunities to integrate LLMs, multimodal AI, and edge inference into the vehicle cabin experience. - Build products that leverage signals from DMS/OMS, voice, vision, and contextual vehicle data to create intelligent, proactive user interactions. - Partner closely with engineering, research, design, and automotive OEM customers to deliver scalable, production-ready solutions. - Translate sophisticated AI capabilities into clear product requirements and user value propositions . - Drive ecosystem alignment across internal NVIDIA platforms (e.g., DRIVE, Omniverse, AI Enterprise) and external partners. - Analyze market trends, competitive landscape, and emerging technologies to advise product direction. - Define success metrics and continuously optimize product performance based on real-world usage. What We Need to See: - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related technical field (or equivalent experience). - 8+ years of product management experience with a strong focus on AI/ML, software platforms, or automotive systems . - Deep understanding of Generative AI technologies , including LLMs, multimodal models, and real-time inference constraints. - Experience working with embedded systems, edge computing, or automotive platforms . - Proven track record to lead highly technical products from concept to production. - Strong systems thinking—ability to connect sensing, AI models, and human interaction into cohesive products. - Excellent communication skills, with the ability to work across technical and non-technical stakeholders. Ways to Stand Out from the Crowd: - Experience building AI-driven user experiences in constrained or real-time environments. - Familiarity with driver monitoring, computer vision, or sensor fusion systems . Hands-on experience engaging with LLMs, conversational AI, or agent-based systems. - Background in automotive OEM partnerships or Tier 1 ecosystems. - Understanding of privacy, safety, and regulatory considerations in automotive AI. - Passion for redefining how humans interact with intelligent systems in everyday environments. At NVIDIA, we’re dedicated to making self-driving vehicles a reality and believe this technology can save millions of lives. Join a team of innovative thinkers at one of the world’s most respected technology companies. If you’re motivated, curious, and ready to make a difference, we’d love to meet you! We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial 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 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 June 7, 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.
Test and Failure Analysis Technician
At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used for work and play. Our technology impacts the visual experience in video game development, film production, deep learning, space exploration, medicine, computational finance and automotive design. And we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working, and creative people to help us take on some of these extraordinary opportunities. What you will be doing: - Work in the Board Level Reliability lab environment and set up functional test hardware and software for various NV products, including large server systems, and perform functional validation for GPU/Tegra products. - Develop and maintain scripts for automated test programs. - Set up and operate probing systems to perform electrical functional tests. - Perform mechanical and electrical testing along with Physical Failure Analysis (PFA) to identify failure mechanisms. - Conduct advanced failure analysis using techniques such as CSAM (C-Scan Acoustic Microscopy) and X-ray imaging to detect internal defects, delamination, voids, and structural issues. - Analyze failure data, correlate test results, and generate detailed reports with clear root cause findings. - Maintain, debug, and continuously improve test setups and lab infrastructure. - Assist in lab maintenance, calibration, and materials control. What we need to see: - Bachelor’s degree in Electrical Engineering or equivalent experience with minimum 5 year semiconductor FA experience - Strong understanding of electronics reliability concepts and failure mechanisms. - Hands-on experience with failure analysis techniques including PFA, CSAM, and X-ray inspection. - Familiarity with electronic testing, reliability validation, and root cause analysis methodologies. - Comfortable working with multiple operating systems (Windows, Linux, CentOS). - Basic programming/scripting knowledge for test automation. - Experience with lab instruments (oscilloscopes, multimeters, curve tracers, etc.). - Proficient in Microsoft Office tools for data analysis and reporting. - Ability to work independently with minimal supervision and drive tasks to closure. - Self-motivated, detail-oriented, and willing to take on technical challenges. - Strong problem-solving, analytical, and communication skills. 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. Are you creative and autonomous, 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 60,000 USD - 101,200 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 7, 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 Performance Architect
We are now seeking a Senior Deep Learning Performance Architect! NVIDIA is looking for outstanding Performance Architects with a background in performance analysis, performance modeling, and AI/deep learning to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications. What you’ll be doing: - Develop innovative architectures to extend the state of the art in deep learning performance and efficiency - Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites - Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications - Evaluate PPA (performance, power, area) for hardware features and system level architectural trade-offs. Develop high level simulators in C++/Python - Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW What we need to see: - MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience - 6+ years of relevant meaningful work experience - Strong background in GPU or Deep Learning ASIC architecture for distributed training and/or inference spanning multi-chip/multi-node - Experience with performance modeling, architecture simulation, profiling, and analysis - Solid foundation in machine learning and deep learning. Understanding of modern transformer-based architectures and their performance at scale. - Strong programming skills in Python, C, C++ Ways to stand out from the crowd: - Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX, TensorRT) - Familiarity with advanced optimizations and SW/HW co-design in LLM training and inference - Exposure to using AI to accelerate SW engineering - Demonstration of self-motivation and creative / critical thinking 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. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as “the AI computing company”, NVIDIA wants you! Come, join our Deep Learning Architecture team, where you can help build real-time, efficient computing platforms driving our success in this exciting and rapidly 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 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 June 7, 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 Machine Learning Engineer - VLSI De...
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. Our team builds AI-driven software systems for circuit design, combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation. What you'll be doing: - Work within a multi-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI systems for EDA/design automation. - Work on applications ranging from silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration and agent flow optimization. - Translate requirements into data science, AI/ML, and agentic system problems; architect and build solutions. - Test and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organization. - Analyze datasets, raise and validate hypotheses, extract relevant features, and build models and self-improving workflows on top of them. - Optimize models, algorithms, and autonomous optimization systems until they reach the desired QOR. What we need to see: - MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or equivalent experience. - 4+ years experience in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design is required. - Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python and C++. - Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plus. Ways to stand out from the crowd: - Experience building AI systems for EDA, design automation, or circuit design workflows. - Research or project experience in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems. - Experience building agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platforms. - Effective verbal/written communication and technical presentation skills. - Self-starter with passion for growth, continuous learning, and sharing findings across the team. NVIDIA is a pioneer in bringing groundbreaking technology to new markets. We have some of the most forward-thinking and hardworking people in the world working with us. If you're creative and autonomous, we want to hear from you! 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 - 230,000 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 June 7, 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
Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun. Image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films. 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. Just as human creativity and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI computing company.” Come join a team full of world-class computer scientists to work in its Compute Developer Technology team as an AI Developer Technology Engineer. What you will be doing: - Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures. - Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs. - Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models. What we need to see: - A degree from a leading university in an engineering or computer science related discipline (BS; MS or PhD preferred) or equivalent experience - 2+ years of experience - Strong knowledge of C/C++, software design, programming techniques, and AI algorithms - Strong verbal and written communication skills in English and organization skills, with a logical approach to problem solving, time management, and task prioritization skills - Some travel is required for conferences and for on-site visits with customers. 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 talented people on the planet working with us and our engineering teams are expanding fast. If you’re a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you. deeplearning
Senior Software Engineer, DGX Cloud AI Infrastruct...
NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world’s most advanced large language model workloads. We are looking for a Senior Software Engineer to lead the bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run. In this role you will set technical direction across communication libraries, model frameworks, and inference/training stacks to ensure state-of-the-art LLM workloads run efficiently and reliably at scale. You will lead deep performance and reliability investigations on multi-GPU and multi-node deployments, define how we benchmark and qualify new platforms, and build the resilience and failure-attribution capabilities that keep large clusters productive. This is a hands-on senior individual-contributor role for an engineer who operates at the intersection of deep learning systems, GPU performance, distributed computing, and large-scale operations — and who raises the bar for the engineers around them. What you’ll be doing: - Lead bring-up, validation, and debugging of large-scale AI clusters, infrastructure, and end-to-end workloads, setting the standard for how the team operates. - Bring up, tune, and benchmark AI pre-training, post-training, and inference workloads using PyTorch, NeMo / Megatron, TensorRT-LLM, and adjacent NVIDIA AI software stacks. - Profile and optimize end-to-end workload performance across compute, memory, networking, and communication layers using tools such as Nsight Systems, NCCL tests, and custom microbenchmarks. - Analyze scaling efficiency for distributed LLM workloads using data, tensor, pipeline, and expert parallelism across modern GPU clusters, and translate findings into concrete tuning guidance. - Own root-cause analysis of complex failures — hangs, performance regressions, topology sensitivity in large distributed environments. - Define and build the resilience and failure-attribution stack: detecting, triaging, and attributing node, fabric, and workload failures across the cluster at scale. - Build repeatable benchmark suites, automation, acceptance criteria, and qualification workflows on new platforms. - Tune runtime settings, communication parameters, and deployment configurations in close partnership with framework, systems, and platform teams. - Deliver actionable, data-driven recommendations based on profiling, benchmark results, and cluster characterization. - Mentor engineers, drive technical standards, and act as a force multiplier across the broader performance and infrastructure organization. What we need to see: - Bachelor’s or Master’s in Computer Science or a related technical field (or equivalent experience). - 8+ years of experience developing software infrastructure for large-scale AI or HPC systems, including a track record of technical leadership. - Expertise debugging and triaging AI applications across the full stack — from the application layer down to the hardware. - Deep hands-on experience with NCCL, CUDA-aware distributed execution, and debugging multi-GPU and multi-node workloads at scale. - Proven track record of architecting, debugging, and scaling large-scale distributed systems. - Expert-level Python and C/C++ programming skills. - Experience operating workloads in scheduled, containerized cluster environments. - Excellent analytical, debugging, and communication skills, with the ability to influence across teams. Ways to stand out from the crowd: - Demonstrated experience debugging and optimizing AI workloads at large scale. - Deep familiarity with the RDMA software stack (NCCL, IB verbs, UCX, libfabric). - Strong knowledge of GPU cluster fabrics and topology, including NVLink, NVSwitch, PCIe, RoCE, and InfiniBand. - Experience building acceptance tests, benchmark harnesses, regression gates, or cluster qualification tooling for AI platforms. - Experience building resilience, fault-detection, or failure-attribution systems for datacenter-scale infrastructure. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative, autonomous, and 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 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 June 8, 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 Customer Program Manager, AI Datacenter
We are seeking a Senior Customer Program Manager - AI Datacenter to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. As a key member of the Customer Program Management Team, this role will drive collaboration with major enterprise customers, cloud service providers, Tier-1 partners, and OEMs. The ideal candidate will bring strong technical program management expertise, a solid engineering background, and the ability to thrive in fast-paced environments while ensuring successful outcomes for both internal teams and external collaborators. What You’ll Be Doing: - Define and manage program schedules, deliverables, and turning points aligned with customers and partners roadmaps and requirements. - Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales. - Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives. - Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle. - Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance. - Provide ongoing post-deployment sustaining support, serving as case manager for field quality issues or high priority concerns with major enterprise customers, cloud service providers - Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets with major enterprise customers, cloud service providers - Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment. What We Need to See: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - 8+ years of program/project management experience in the semiconductor, IT, automotive, or embedded systems industries with major enterprise customers, cloud service providers - Strong technical background in hardware and/or software product development with experience working closely with OEMs , ODMs, and cloud service providers - Consistent track record of leading complex, global programs through full development lifecycles into deployment and production. - Excellent program management, communication, and organizational skills with the ability to prioritize issues and drive cross-functional alignment. - Consistent track record to coordinate with global teams and navigate multi-cultural, multinational business environments. - Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences, from engineers to executives. - Willingness to travel as required (up to 10%), and thrive in fast-paced, dynamic environments. Ways to Stand Out from the crowd: - Track record running end-to-end hardware and software product development in with major enterprise customers or cloud service providers - Strong leadership in matrixed collaboration, conflict resolution, and consensus-building. - Proven expertise in leading all aspects of production schedules, optimizing line yields, and resolving sophisticated field quality challenges. - Strong background thriving in dynamic, high-growth environments, with proven adaptability to obscurity, rapid change, and matrixed team structures. With competitive salaries and a generous benefits package, we are widely considered to be one of the 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 best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, 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 accommodation.
Enterprise Customer Technical Program Manager - GP...
For over 25 years, NVIDIA has pioneered visual and accelerated computing. Today, we're defining the future of AI, equipping millions with groundbreaking tools and essential training to lead a new era of innovation. Every month, NVIDIA’s training platform enables thousands of developers around the world to advance their AI skills and excel in their life’s work. We're seeking an operationally-focused System Software Engineer to ensure the stability, reliability, and flawless execution of all NVIDIA Deep Learning Institute (DLI) training events. You will also oversee the broader day-to-day operational health of the entire learning platform. Your operational acumen will be instrumental in powering our latest educational experiences focused on safe, trustworthy, and ethical AI, ensuring a seamless experience for instructors and learners. Now, we're looking for a strong enterprise customer program manger to support NCP(New Cloud Partner) GPU and networking projects. What you'll be doing: - Leading execution and technical engagement directly with NCPs and their ODM/OEM partners. - Integrating datacenter tools and operationalizing processes for AI factory build-out, resolving any blocking issues to keep projects on track. - Ensuring reliable assembly of groundbreaking AI infrastructure platforms by working closely with NCP’s ODMs or OEMs to meet specified metrics and schedules. - Assembling and guiding cross-functional teams, ensuring alignment and execution excellence. - Ensure timely delivery of customer-specific features and production deployment. - Communicate program status, risks, and insights to senior leadership. What we need to see: - Demonstrated experience in program/project management involving direct interaction with customers. - 8+ years of experience managing programs and projects involving direct engagement with customers. - Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field. - A solid track record of successfully managing complex, large-scale datacenter projects. - A willingness to continue learning new skills and growing capabilities as NVIDIA ventures into new markets. Ways to stand out from the crowd: - Strong customer facing experience - Deep experience leading technical programs for NCPs. - Hands-on expertise in large-scale compute server build and deployment. - Strong cross-functional teamwork across globally distributed teams. If you're a creative engineer with a real passion for robust and enjoyable user experiences, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Solutions Architect, AI Cluster Performance...
We are looking for a Senior Solutions Architect specializing in Data Center Systems & Performance to join our elite solutions architecture team. In this role, you will work at the intersection of groundbreaking hardware and complex software stacks. As a Solutions Architect, you will act as a pivotal technical expert uniting engineering, field teams, and customers with highly intensive requirements. You will be responsible for analyzing and optimizing the performance of world-class AI, deep learning, and HPC ecosystems. Come join us! What you'll be doing: - Work together with our partners and customers to identify, analyze, and resolve complex performance bottlenecks across interconnected GPU, CPU, and networking systems. - Complete and maintain robust performance benchmarking suites to stress-test high-performance clusters and establish performance baselines. - Apply industry-standard performance tools to monitor hardware performance counters and extract deep system telemetry. - Deeply investigate system and software configurations to find and fix subtle discrepancies that impact peak performance. - Partner closely with internal engineering units and outside collaborators and customers to collectively develop solutions and boost infrastructure performance. What we need to see: - BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). - 8+ years of work-related experience in the high-tech industry, particularly in system build, performance analysis, and technical customer-facing roles. - A strong understanding of how CPUs, GPUs, and high-speed networking fabrics interact within massive clusters. - Practical experience with performance counters, profiling tools, and telemetry collection systems (e.g., Perf, eBPF, Prometheus, Grafana). - Practical experience working with containers, cloud provisioning, and scheduling tools such as Docker, Docker Swarm, Kubernetes, SLURM, Ansible. - Proven track record of transforming raw logs and telemetry into structured time series data, dashboards, and heat maps. - The ability to translate complex, low-level technical performance anomalies into clear, actionable narratives for cross-functional teams. - Strong collaborative skills and a proven history of building successful relationships across diverse engineering and operations teams. Ways to stand out from the crowd: - Deep knowledge of multi-GPU communication libraries like NCCL, and how they optimize inter-GPU topologies. - Deep, hands-on experience working directly with NVIDIA hardware architectures, NVLink, NVSwitch, or NVIDIA Nsight tools. - Practical experience optimizing distributed AI training workloads, LLMs, or large-scale high-performance computing environments. - Experience developing or integrating Agentic AI frameworks to autonomously parse telemetry logs, diagnose configuration drifts, or automate cluster triage. 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 June 8, 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, Edge AI and Profession...
Do you want to join a team that's revolutionizing the fields of AI and graphics with advanced NVIDIA technologies including RTX PRO GPUs, DGX Spark, DGX Station, and Jetson IGX? We are looking for a hardworking Solution Architect with experience in AI and professional graphics workflows to support our key customers and partners. As Solution Architects, we are actively raising the technology bar, working closely with internal teams and external partners to address unsolved problems in the industry. Our team empowers graphics and AI developers to get the most out of our enterprise platforms. What you'll be doing: Our day-to-day work involves helping our partners succeed in their adoption of end-to-end solutions using NVIDIA's graphics, compute, edge, and AI systems. For this particular role, that means deeply understanding customer workflows and guiding them to the best NVIDIA hardware and software to solve their challenges. 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: - Strong foundational expertise and a BS, MS, or equivalent experience in computer science or hardware engineering. - 8+ years of software development experience including Python, C/C++, scripting, and vibe-coding. - Experience with AI workflows including deep learning frameworks, CUDA, and agentic AI (OpenClaw, etc.). - Established track record working with graphics APIs /workflows and familiarity with GPU architectures. - Strong Windows and Linux experience. - Strong analytical and problem-solving skills, along with an ability to articulate what you know to others. - Outstanding communication skills, with experience organizing, presenting, and discussing technical materials with groups that comprise a range of technical capability. - A team-oriented mentality, organizational skills, and flexibility to adapt in fluid situations. - Comfortable with travel to customer sites and NVIDIA Headquarters (Santa Clara, CA). Ways to stand out from the crowd: - Experience with OpenUSD and Physical AI. - Familiarity with advanced display systems (vis-sim, display walls, etc.). - Public speaking experience. - Willingness and ability to learn quickly as we address sophisticated problems, and an understanding of how all elements of the "3 computer model" work 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 10, 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 Advanced Development Engineer
The NVIDIA Networking Advanced Development Software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. These are emerging technologies in networking and distributed computing for the booming AI factories and data centers. They span areas such as AI neural networks, Deep Learning, High Performance Computing (HPC), Storage, Cloud, SW Defined Network, Network Function Virtualization and more. We develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading NVIDIA devices. The development traverses any needed component - application SW, middleware SW, OS kernel subsystems, device drivers, embedded SW (Firmware) and CUDA GPU. We collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features. What you’ll be doing: - Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware - Work on impactful projects involving state-of-the-art high-performance computing hardware and software - Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology - Collaborate with NVIDIA partners and customers What we need to see: - B.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field - 5 + overall years of industry experience in system programming or related fields. - Understanding of multi core hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, real-time - Excellent programming skills - Ability to learn complex concepts in a fast pace environment. - A teammate with a can-do attitude, high energy and excellent interpersonal skills Ways to stand out from a crowd: - Familiarity with networking protocols - Hands-on experience with CUDA programming and GPU acceleration - Hands-on experience with LLM serving frameworks - Experience with open-source projects (coursework, personal, or contributions) - Working in a fast-paced and dynamic environment NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is 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 Solution Architect, AI Compute Engineer - N...
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. NVIDIA is looking for a Senior AI/HPC Engineer to join its 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! 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/HPC projects. The scope of these efforts includes a combination of Networking, System Design, and Automation, and being the face to the customer. What you will be doing: - Primary responsibilities will include deploying, managing and maintaining AI/HPC infrastructure in Linux-based environments 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 into internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: - B S/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. - 5+ years providing in-depth support and deployment services, solving problems for hardware and software products. - Knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network routing/advanced networking (tuning and monitoring). - Cluster management technologies. - Scripting proficiency. - 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. - Industry-standard Linux certifications. - Experience with Schedulers such as SLURM, LSF, UGE, etc. Ways to stand out from crowd: - Demonstrated hands-on experience with MPI (e.g., OpenMPI, MPICH), proficient in distributed communication programming and cluster debugging. - In-depth understanding of NCCL principles and applications, with expertise in collective communication optimization for NVIDIA GPU clusters. - Experience in deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance - Familiarity with automation tools (Ansible, Salt, Puppet, etc.), capable of implementing batch configuration and operational automation for GPU clusters and LLM deployment environments. - knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments. 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.
Senior Deep Learning Solution Architect
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers, focusing on defining and solving computational challenges in LLM inference and training acceleration, as well as network communication and data transfer optimization. What You'll Be Doing: - Contribute to the development of open-source inference frameworks such as SGLang and vLLM, including feature and operator development, performance optimization, and model support, in collaboration with the community. - Develop and optimize KV cache offloading frameworks for LLM workloads, supporting multi-level cache offloading and reuse across CPU, SSD, and remote storage to improve inference efficiency. - Drive R&D on compute performance in distributed training, and explore methods and technologies for performance optimization. - Study computational challenges in machine learning systems, identify common needs and bottlenecks, and build example code, acceleration libraries, or frameworks accordingly. What We Need to See: - Over 3 years working experience in the technology industry, with master’s degree or above in computer science, mathematics, electrical engineering, automation, or related fields. - Strong interest in accelerated computing, parallel computing, and heterogeneous computing, with the motivation to explore these areas in depth. - Solid programming skills, with a good understanding of data structures and computer systems fundamentals. - Strong learning agility, adaptability, and the ability to analyze, define, and independently explore technical problems. Ways to Stand Out from the Crowd: - Familiarity with heterogeneous computing, distributed training, parallel computing, or other areas related to high-performance computing. - Experience in performance analysis, performance modeling, or performance optimization; contributions to open-source frameworks are a plus. - Strong ability to define new problems and explore solutions; candidates with independent PhD-level research experience are preferred. - Proficiency with AI coding tools. With competitive salaries and a generous benefits package, we are widely considered to be one of the 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 best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you. LI-Hybrid
Senior Digital Design Engineer - High-Speed I/O an...
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 take on, 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. The mixed-signal high-speed I/O group delivers innovative PHY designs that power the most powerful AI systems in the world today. Our portfolio includes PHY IPs and Chips for both copper and fiber channels, supporting NVIDIA's high-performance interconnect protocols: NVLINK, Ethernet, and InfiniBand. We recently delivered the industry's first 200G MRM-based silicon photonics chip, revolutionizing high-performance networking and enabling the era of Co-Packaged Optics (CPO) for NVIDIA. We enable groundbreaking technology that continually pushes the limits of wireline communication! What You'll Be Doing: While engaged in frontend development, your responsibilities will include working on a wide range of high-speed, powerful DSPs, silicon photonics IPs, and chips. You will participate in chip-level features, programming model and application interface definitions. You will collaborate closely with analog designers and system architects to develop micro-architecture specifications, calibration and adaptation algorithms, which then will be translated into RTL and firmware designs. For backend design, you will define, build synthesis constraints and drive timing closure. Evaluating PPA trade-offs based on synthesis and P&R feedbacks is a critical step toward the most optimized product. For post-silicon, you will actively participate in silicon bring-up, build testing scripts for debugging, characterization, performance tuning, and production. You will also work with cross-functional teams to ensure successful production. What We Need to See: - B.S. or M.S. degree in Electrical Engineering or equivalent experience. - 5+ years of experience in high-speed digital design, proficient with front-end design flow and tools. - Deep understanding of Verilog or System Verilog, logic design concepts, and typical structures. - Good understanding of design for test, timing constraints, and static timing analysis. - Experience with industry verification methodologies, such as UVM. Ways to stand out from the crowd: - Knowledge of optical transceiver devices and integrated components such as modulators, detectors, and TIAs. - Experience with SerDes architecture and building blocks such as CDR, DFE, CTLE, TXFIR. - Experience with digital assist analog designs, such as calibrations. - Familiarity with mixed-signal circuit design concepts and experience in behavior modeling of mixed-signal circuits. Knowledge of physical layer and communication protocols, such as Ethernet, InfiniBand, PCIe, and USB. - Understanding of on-chip microcontrollers and standard peripherals, with exposure to hardware and firmware co-design. 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 June 12, 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, Energy Sector
We are looking for a Solutions Architect to engage with customers, partners, and other NVIDIA software engineers to develop Energy specific applications and platforms that demonstrate NVIDIA technology that will be adopted across all segments of the Energy sector including Oil and Gas, Renewables, and Power Utilities. At NVIDIA, our Solutions Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU and Networking hardware and software! NVIDIA’s platforms for machine learning, deep learning and high-performance computing have already made a major impact on the energy sector and are broadly used across leading energy companies and start-ups. Our success has been based on vertical focus industry business development, building a strong developer ecosystem, and scaling out the business using a broad partner channel including HW OEMs, Cloud Service Providers, Global System Integrators, and VARs. We need a hardworking, and creative individual to help us pursue more of these opportunities in HPC, NLP, Machine Learning, Deep Learning, and Generative AI! This role requires becoming a trusted technical advisor and leader to our partners and customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform the energy domain. A Solutions Architect is the bridge of technical expertise between our industry teams, our partners and customers. Dynamically engaging with internal developers, scientific researchers, data scientists, IT managers and senior leaders is an important part of the Solutions Architect role, and will give you experience with a range of partners and concerns. What you will be doing: - Partner with our industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. - Document what you know and guide others. This can vary from building targeted samples, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard. - Be an industry leader with vision on integrating NVIDIA technology into AI, HPC, and enterprise GPU and networking architectures for sophisticated applications both in the datacenter and at the edge. - Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform. What we need to see: - MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience. - 8+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs. - Background working with modern application deployment practices including but not limited to Docker/Containers and Kubernetes. - Experience with modern Deep Learning software architecture and frameworks. - Strong written and oral communication skills with the ability to optimally collaborate with management and engineering. - Background in the energy industry or engaging with clients/partners involved in the energy field. - Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very sophisticated projects. Ways to stand out from the crowd: - CUDA programming and optimization experience. - Experience using data science in the energy industry. - Experience using GPGPU programming and design practices. - Background with network software development - AI Exposure: Deep Neural Network or Machine Learning R&D with energy data. 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 June 12, 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, Generative and Physica...
NVIDIA is hiring a Solution Architect for the AI Technology Centre team in Bavaria, Germany. This role is ideal for scientists who can also clearly define and apply strong strategic capabilities. Applicants must have significant publication records, community recognition, and research credibility to partner with Europe’s outstanding research groups on equal terms. Why Bavaria? Bavaria has become one of Europe’s strongest hubs for AI and high‑performance computing, with deep industrial roots in automotive, manufacturing, and engineering and a fast-growing startup ecosystem in Munich and beyond. It offers a highly active environment for Generative AI, Physical AI, and Agentic AI research and deployment, bringing together leading universities, Fraunhofer institutes, and industry partners that are building and scaling advanced AI models and systems across real-world applications. What you'll be doing: - Participate in high impact research projects alongside university PIs and their research labs. - Identify and evaluate new high-value research opportunities in Generative AI, Agentic AI and Physical AI. - Champion the adoption of NVIDIA software platforms and models (such as NeMo, NIMs, Cosmos, Warp, Newton, CUDA-X, NemoClaw, Nemotron AI models) to tackle groundbreaking scientific challenges. - Shape and nurture strategic institutional agreements with top Bavarian universities and research institutions. - Empower academic partners by helping them secure critical research funding from external sources. - Act as a bridge between academic partners and NVIDIA product, program, and engineering teams. Communicate software and hardware requirements to ensure our solutions continue to drive world-class research. - Deliver strategic insights on emerging trends, breakthroughs from the research ecosystem or labs. - Coordinate and deliver outreach activities (e.g., NVIDIA AI Days, NVIDIA Agentic AI Events). - Help university PIs mentor postgraduate students. What we need to see: - Ph.D. in Computer Science, Applied Mathematics, Physics, Engineering, Robotics. - Research publications in Generative AI, Agentic AI or Physical AI. - Experience working in academic research groups. - Comprehensive knowledge of Generative AI, Agentic AI and Physical AI: perception, sim-to-real transfer, world models, LLMs, VLMs, agentic AI systems. - Experience with scientific policy engagement, grant processes, or national/European research program structures. - Excellent written and verbal communication skills in English. - Proven ability to work collaboratively in a team environment and learn new technologies quickly. - 5+ years of hands-on experience in Generative AI research. Ways to stand out from the crowd: - Postdoctoral or faculty experience is a plus, but no more than 10 years following a Ph.D. - Recognition across the research community with awards, named fellowships and grants in Generative AI, Agentic AI and Physical AI domains. - Experience in technology transfer - advancing research prototypes toward product integration or extensive platform deployment. - Experience building and implementing projects with NVIDIA software 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. NVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer!
Senior Deep Learning and Computer Vision Engineer...
We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles, a critical aspect of our next-generation products. You will have the opportunity to work with top researchers and engineers in the field of deep learning and computer vision to deliver impact to our customers around the world. Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer a science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. The era of AI has begun. NVIDIA's GPUs run 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. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. This may explain why. NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI company”. Make your choice to join us today. We are training Deep Neural Networks for NVIDIA's Autonomous Vehicles effort, with the goal to enable autonomous driving. We are seeking Deep Learning/Machine Learning interns who are passionate about solving problems in perception, prediction, planning and control for self-driving cars to achieve full autonomy. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us! What you'll be doing: - Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas. - Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models. - Taking approaches from initial evaluation and experimentation all the way to shipping. - Defining and collecting training datasets. - Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++). What we need to see: - PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experience in Computer Science, Computer Engineering, or a related technical field. - Proven experience building robust software. - Passionate about Artificial Intelligence for robotics and autonomous navigation - Strive to learn new things and like solving hard problems - Math knowledge - Experience in Deep Learning / Machine Learning. You have a background in Computer vision and/or Planning/Control. - Programming and debugging skills in C++ and/or Python. - Good communication and analytical skills. Ability to work with multiple teams in a dynamic environment. Ways to stand out from the crowd: - Background in applying latest AI methods to solve Computer Vision and Autonomous Vehicles problems - Experience with Unsupervised or Self-supervised Learning - Involvement with architecture optimization, pruning, curriculum & multi-task training - Experience fusing data from different sensor modalities (e.g. Images and LIDAR data) to enable information conflation, label propagation, cross training. We believe that realizing self-driving cars will be a defining contribution of our generation. We have the funding and scale, but we need your help. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant 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 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 June 12, 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 Software Engineer — Agentic AI Applicati...
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-accelerated 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.” Our Enterprise AI team builds intelligent AI agents that transform how NVIDIA operates — from smart personal assistants and engineering-productivity tools to data-driven analytics and supply-chain optimization. These agents are live, in production, and used across the company. Now we need a principal-level, hands-on engineering leader to make them bulletproof and to architect the next generation of agent infrastructure. This is not a research role. This is a role for someone who obsesses over reliability, polish, and user trust — and who has the full-stack depth to harden production systems and the architectural vision to ensure they scale. What you'll be doing: - Improve reliability, performance, observability, release confidence, and end-user experience across desktop, web, and service-based AI products. - Design and build resilient frontends, backend APIs, distributed services, data flows, and deployment systems that scale to enterprise use. - Establish strong patterns for testing, debugging, CI/CD, safe rollout, auto-update mechanisms, monitoring, incident response, and operational excellence so our Agentic AI applications behave like mature software, not prototypes. - Build reusable capabilities that support multiple agent domains, including orchestration services, deep-agent workflows, memory and context services, evaluation frameworks, telemetry, and policy-aware tool integration. - Help validate and operationalize technologies such as Nemotron, NVIDIA AI Blueprints, and related platform capabilities in enterprise production settings. - Codify architecture, shared components, documentation, and operational playbooks; mentor engineers; and create foundations that are durable, reusable, and broadly owned. - Define the core architecture for how AI agents discover one another, collaborate securely, build trust, and operate under enterprise governance. - Partner closely with domain AI engineers, product managers, designers, infrastructure teams, IT, and research to deliver measurable outcomes across employee productivity, engineering efficiency, AIOps, and enterprise operations. What we need to see: - BS, MS, or equivalent experience in Computer Science or a related field. - 15+ years building and operating production software systems, including significant experience leading architecture and delivery across the full stack. - Familiarity with enterprise application deployment, security, authentication, device management, and application lifecycle management. - Solid experience building modern applications across frontend, backend, and platform layers. This may include technologies such as TypeScript/JavaScript, React, Electron or similar desktop frameworks, Python, Go, Java, APIs, data systems, and distributed infrastructure. - Proven track record taking complex products from prototype to reliable, secure, well-operated production systems. Deep expertise in testing strategy, release engineering, observability, performance tuning, and incident response. - Experience building shared services, internal platforms, SDKs, or core infrastructure used by multiple teams or products. - Working knowledge of modern AI application patterns such as LLM-powered applications, RAG, tool use, CLI-based workflows, reusable skills, MCP-based integrations, evaluation loops, memory systems, and agentic workflows. You do not need to be a research scientist, but you should know how to build reliable, production-grade systems around AI. - Strong judgment, communication, and cross-functional leadership skills, with the ability to influence across teams while remaining highly hands-on. Ways to stand out from the crowd: - Experience hardening desktop or client applications at scale, including installers, auto-update systems, crash recovery, and enterprise distribution. - A track record of improving engineering velocity and consistency through common frameworks, platform services, design patterns, and developer tooling. - Experience building reusable infrastructure for AI products, such as orchestration layers, memory/context services, evaluation platforms, human-in-the-loop workflows, or policy and safety controls. - Familiarity with identity, discovery, trust, reputation, or graph-based systems relevant to large-scale agent collaboration. - Experience with GPU-accelerated systems or NVIDIA AI technologies such as NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints. 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 12, 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.
Data Center Engineer, HPC and AI
NVIDIA is looking for an HPC and AI Data Center Engineer to join the networking cloud solutions HPC/AI Infrastructure team. We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for a lab manager, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Take part of building large-scale compute and Deep Learning software and hardware platforms, work together and support many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. What you will be doing: - Plan and build complex cluster and supercomputers in various of data center and labs - Rack stack and cable management to ensure efficient use of space and easy maintenance - Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization - Data centers and labs daily operation and support - Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI - Perform troubleshooting - network, optic cabling, bare metal, operating system. - Support Research & Development activities What we need to see: - MCSE or MCITP/CCNA certification - 3+ years of experience as lab manager - Experience in supporting large and complex data centers - Proven hands-on experience in Linux troubleshooting with good problem identification, resolution and solving skills. - In depth knowledge in Linux & Windows Core Services: DHCP, DNS, NIS, AD, etc. - Team Work, Service oriented, organized Ways to stand out from the crowd: - Scripting experience in Bash and/or Python - Experience with configuration managements tools known in the community (e.g. Ansible, puppet) - CI & Known Job schedulers tools (e.g. Jenkins, SLURM) - Virtualization: KVM / VMware / Hyper-V - Experience with L2 & L3 network protocols NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is 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 DFT 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, IO BIST, memory BIST and scan compression. - In addition, you will help develop and deploy DFT methodologies for our next generation products. - You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: - BSEE (or equivalent experience) with 8+, MSEE with 5+ years of experience or PhD with 3+yrs in DFT or related domains - Demonstrated knowledge and expertise in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG and fault simulation - 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 - Strong programming and scripting skills in Perl, Python or Tcl desired - Extraordinary written and oral communication skills with the curiosity to work on rare challenges Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. At its core, our visual computing technology not only enables an outstanding computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant 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! 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 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 June 12, 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 Quantum Applied Research Scientist, Calibra...
At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a passionate scientist at the intersection of quantum device physics, quantum calibration, and machine learning. This role will path-find the future of intelligent, real-time models for fault-tolerant quantum hardware. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Sr. Quantum Applied Research Scientist, you will help design and build real-time models that learn from device physics, calibration experiments, decoding, and system performance. You will develop physics-informed data synthesis pipelines, post-trainable model architectures, and practical benchmarks that the quantum community can build on. Your research will translate qubit physics and the quantum control stack into performant AI systems for fault-tolerant quantum computing. The work will span synthetic training data generation, surrogate modeling, and co-optimized calibration-decoding pipelines. You will collaborate with teams across Product, Engineering, and Applied Research to push the frontier of Accelerated Quantum Supercomputers! Do you love developing new technology, enjoy working with people and teams around the world, and operating at the speed of light? If yes, we would love to hear from you! What you'll be doing: Research and develop open AI models for quantum system calibration to advance the state of the art and empower the quantum community to build on shared foundations. Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality training data for upstream calibration and decoding model development. Develop surrogate models of quantum hardware that capture device physics and drift behavior, enabling rapid performance prediction and parameter inference without full experimental overhead. Architect performant real-time AI systems that jointly account for calibration state and decoding requirements, co-designing model latency, throughput, and update cadence to meet the demands of fault-tolerant feedback loops. Apply reinforcement learning and online learning methods to calibration policy optimization, enabling models that improve continuously from hardware feedback and generalize across device families and modalities. Develop GPU-accelerated implementations to ensure the full pipeline scales. Communicate research findings and collaborate with academic and industry partners to advance the field, while championing rapid innovation, technical depth, and creative problem solving. What we need to see: Masters degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field (Ph.D. strongly preferred); or equivalent experience. 8+ years of combined experience and high impact in quantum systems and AI/ML research. Hands-on expertise in machine learning and deep learning for science or physics, including model architecture design, training at scale, fine-tuning, and evaluation. Strong background in quantum device physics and information science, including noise models, error mechanisms, and fault-tolerant quantum systems across one or more qubit modalities. Broad understanding of quantum control, such as pulse-level hardware interfaces and classical feedback through software abstractions. Excellent communication and collaboration skills. Ways to stand out from the crowd: Hands-on experience developing learned calibration or decoding models and deploying them within real-time quantum control feedback loops, with direct awareness of latency and throughput constraints. Deep expertise in reinforcement learning—including policy optimization, reward shaping, and sim-to-real transfer—applied to physical systems or closed-loop control problems. Experience with physics-informed or generative approaches to synthetic data generation, including noise simulation, Hamiltonian learning, or data augmentation for scientific AI models. Experience with large-scale model training and fine-tuning—including parameter-efficient methods (LoRA, QLoRA, adapters) and domain adaptation. Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, AI model training, or real-time inference workloads at scale. 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 other objective job-related factors. The expected base salary range for this position is 192,000 USD – 304,750 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 Machine Learning Engineer, End‑to‑End Auton...
We are seeking a Senior Machine Learning Engineer to join our end‑to‑end autonomous driving team! You will help build, train, and deploy large‑scale E2E driving models that leverage VLM/VLA architectures, and build a data flywheel that continuously improves our systems in the real world! Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What you’ll be doing: - Designing, implementing, and training large‑scale end‑to‑end driving models. - Driving the data flywheel: identifying failure cases, specifying data collection and labeling needs, and iterating models to close real‑world performance gaps. - Building, curating, and maintaining high‑quality multimodal datasets (e.g., video, sensor, language/action traces) tailored for end‑to‑end autonomous driving. - Developing and applying data‑centric learning algorithms such as active learning, curriculum learning, automated hard‑example mining, outlier and novelty detection, and semi/self‑supervised methods. - Exploring and productizing new data sources including simulation, synthetic data, and world‑model‑based generation/augmentation to improve coverage and robustness. - Designing and implementing agentic data workflows that automate data discovery, labeling, evaluation, and retraining to maximize development velocity. - Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models. What we need to see: - PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field - Strong background in modern deep learning, including transformer‑based architectures, video modeling, and multimodal VLM/VLA or foundation models. - Hands‑on experience training and deploying deep learning models on real‑world datasets: data preprocessing, distributed training, evaluation, debugging, and iterative improvement. - Practical experience with at least some data‑centric methods such as active learning, curriculum learning, outlier/novelty detection, or large‑scale sample mining. - Proficiency in Python and at least one major deep learning framework (PyTorch, TensorFlow, or JAX), plus solid software engineering practices (testing, code review, CI/CD). - Demonstrated ability to collaborate effectively across teams, drive designs from prototype to production, and communicate clearly with technical and non‑technical partners. - Track record of leading complex cross‑team projects, setting technical direction, and making critical technical decisions that impact multiple teams or products. Ways to stand out from the crowd: - Experience building and operating data flywheels or large‑scale data pipelines for ML, including data quality monitoring and continuous retraining loops. - Direct experience with end‑to‑end driving models, large‑scale behavior cloning, or reinforcement/imitation learning for driving or robotics. - Experience leveraging simulation, synthetic data, or world models to generate training and evaluation data for autonomous systems. - Contributions to sophisticated methods in data‑centric ML, VLM/VLA, or autonomous driving, such as impactful publications, open‑source projects, or widely used internal tools. - Background with safety, reliability, and validation requirements for autonomous driving or other safety‑critical applications. 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 June 13, 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, Deep Learning Inference...
We are now looking for a Senior Software Engineer for Deep Learning Inference! Would you like to make a big impact in Deep Learning by helping build a state-of-the-art inference framework for accelerating Deep Learning models, especially Large Language Models, on NVIDIA GPUs? We are now welcoming exceptional software engineers to apply to Senior Engineering positions in the Deep Learning Inference TensorRT software team. What you’ll be doing: - Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance - Develop components of TensorRT, NVIDIA’s SDK for high-performance deep learning inference. - Closely follow academic developments in the field of artificial intelligence and feature update TensorRT - Use C++ and Python to build graph parsers, optimizers, and tools for effective deployment of trained deep learning models. - Collaborate with teams of deep learning experts, GPU architects and DevOps engineers across diverse teams. What we need to see: - A Bachelor's, Master's, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering or related field. - 3+ years of software development experience. - Strong experience with the latest C++ standardsC++11/C++14/C++17/C++20, etc.. - Strong grasp of Machine Learning concepts. - Experience and knowledge in Computer Architecture, Data Structures, Algorithms. - Excellent communication skills, and an aptitude for collaboration and teamwork. Ways to stand out from the crowd: - Experience developing System Software. - Proficiency in Python as well as Background in GPU kernel programming using CUDA or OpenCL. - Experience in software performance benchmarking, profiling, and optimizations. - Background in compiler development - Experience in working with TensorRT, PyTorch, TensorFlow, ONNX Runtime or other ML frameworks. 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. Come, join our TensorRT Workflows team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. 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 June 13, 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 Product Manager - Enterprise AI for Game De...
We are looking for a product leader to define and take to market NVIDIA’s enterprise solutions for game development. NVIDIA hardware and technology powers the world’s most ambitious games — both in runtime technologies such as RTX rendering and AI game characters, but also in AI and accelerated computing technologies used to build and operate games. These span from workstations and servers used to power artist, game developer, and AI developer workflows, to generative AI technology for content creation, coding agents, and QA, to accelerated data science libraries for anti-cheat, anti-toxicity, and matchmaking. Working alongside our business development and content management teams, this role will define and package enterprise solutions, position them, and help land them inside the world’s top game developers and publishers. Success in this role will enable game studios to build better games, get them to market faster, and operate them more efficiently for hundreds of millions of gamers! What you’ll be doing: - Drive product strategy, feature requirements, roadmap, and go-to-market for the enterprise game developer product and technology portfolio. - Understand how studios build, ship, and operate games, and where NVIDIA should invest in products and technology to address market needs. - Lead a cross-functional team of engineering, developer relations, developer marketing, business development, and sales account managers to ship features, launch products, and grow adoption. - Partner with ISVs and engine developers to integrate NVIDIA enterprise technology natively into production workflows. - Work closely with OEM partners shipping enterprise solutions to drive go to market into the game development industry. - Own positioning, messaging, tradeshow strategy, and sales enablement. - Build personas, user journeys, and industry-specific narratives. - Build technical demos, trade-show narratives, and case studies working with lighthouse studios. What we need to see: - 8+ years of combined product management and product marketing experience, with meaningful time on game developer tools, game technology, graphics, or AI products. - Deep familiarity with modern game development workflows: real-time rendering, asset pipelines, build and test infrastructure, and live ops. - First-hand experience as a game developer, engine programmer, technical producer, or related role— you have shipped real content or code and can hold your own in a technical conversation with a studio’s principal engineer. - Knowledge of at least one major game engine (Unreal, Unity, or a proprietary AAA engine). - Strong written and verbal communication; able to translate deep technical material into crisp positioning for studios, executives, press, and partners. - Bachelor’s degree in Computer Science, Electrical Engineering, Game Development, or equivalent experience. - Ability to work in the Santa Clara, CA office. Ways to stand out from the crowd: - Background in enterprise developer platforms, on-prem AI deployments, or workstation/server product lines used by studios. - Established relationships across the game development community — studios, publishers, and engine teams. 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 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 June 13, 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 Compiler Optimization Engineer – LLVM
We are looking to hire a Senior LLVM Compiler Engineer for an exciting role developing compilers for our world leading GPUs. We craft outstanding compilers that realize the potential of NVIDIA GPU hardware for growing range of computational workloads, ranging from next generate graphics, deep learning, scientific computing, and self-driving cars. Our compiler organization makes its mark on every GPU and SoC product that NVIDIA builds. Would you like to be part of this best-in-class organization and lead the charge? What you'll be doing: - Be part of NVIDIA re-targetable GPU compiler backend team - Work on challenging problems in register allocation, instruction scheduling, synchronization, loop optimizations etc. - Develop innovative solutions to optimize workloads in Deep Learning, Ray Tracing, HPC etc. by working with industry experts in each field. - Solve unique problems seen only in a compiling for massively parallel GPU architecture. - Get a chance to influence and work on new GPU architectures. What we need to see: - B.S. or higher degree in Computer Science/Engineering - Proficient in compiler design with 8+ years of experience - Strong background in program analysis and high level optimizations - Excellent C and C++ programming skills - Hands on experience in compiler infrastructures like LLVM/GCC - Good understanding of processor architecture - Experience in a working in a global team - Self-motivated to get things done - Good communication skills with ability to influence others Ways to stand out from the crowd: - Masters or PhD preferred - Demonstrated ability to pursue complex optimization problems - Experience in Scheduling/Register Allocation - Experience in developing CUDA, DirectX, OpenGL/Vulkan applications NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you. NVIDIA is committed to developing 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.
AI Computing Development Engineer, TensorRT and Te...
NVIDIA is hiring software engineers for its AI Computing team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like generative AI, computer vision, speech recognition, recommender systems, and large-scale language and multimodal models. Join the team building the inferencing software (TensorRT/TensorRT-LLM) that will be used across our product lines. The ability to work in a fast-paced, delivery-focused environment is required, and excellent interpersonal skills are a must. What you'll be doing: - Design and develop robust inferencing software (TensorRT/TensorRT-LLM) optimized for functionality and performance across platforms - Perform performance analysis, optimization, and tuning of deep learning inference workloads - Track and integrate academic and industry advancements in AI and feature-update TensorRT/TensorRT-LLM accordingly - Provide feedback into architecture and hardware design and development - Collaborate across hardware, software, and research teams to shape the direction of machine learning inferencing across NVIDIA platforms - Own and deliver technical work with scope based on experience, ranging from complex features to substantial parts of larger projects, with increasing independence and technical leadership over time - Publish key technical results at leading scientific and engineering conferences What we need to see: - Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or related computing-focused field (or equivalent experience) - Strong Python or C/C++ programming and software design experience, including debugging, performance profiling, and test design - 2+ years working experience - Strong curiosity about artificial intelligence and familiarity with the latest developments in deep learning — including generative models, multimodal systems, and large neural networks - Experience working with deep learning frameworks such as PyTorch, TensorRT/TensorRT-LLM, SGLang or vLLM - Proactive, self-driven, and able to work independently - Excellent written and verbal communication skills in English - Demonstrated ability, commensurate with experience, to take technical ownership, solve complex problems, and contribute effectively in cross-functional environments NVIDIA is widely considered to be one of technology’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. Does the idea of contributing to and pushing the boundaries of state-of-the-art AI and compute systems excite you? Interested in getting exposure to the entire deep learning software stack? Come join us and help build the GPU-accelerated AI platform used worldwide.
Developer Technology Engineer – AI
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What You'll Be Doing: - Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through both reference code development and direct contribution to the applications. - Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer efficiency. - Need to travel from time to time for conferences and for on-site visits with developers. What We Need To See: - A BS, MS, or PhD degree from a leading university in an engineering or computer science related field (or equivalent experience). - 3 years work experience; while not a requirement, domain expertise in telecommunications, medical imaging, machine learning, deep learning, HPC, or natural sciences is helpful. - Programming proficiency in C/C++ and/or Python with a deep understanding of software design, programming techniques, and algorithms. - Strong mathematical fundamentals, including linear algebra and numerical methods. - Experience with parallel programming, ideally CUDA C/C or OpenACC. - Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. 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 by visiting http://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.
Deep Learning Performance Architect
NVIDIA is developing processor and system architectures that accelerate deep learning on edge devices, workstations, and data center GPUs for a variety of applications including automotive, robotics, large language models and AI generative models. We are looking for an expert deep learning system performance architect to join our deep learning modelling, performance optimization, projections, and analysis effort. In this position, you will have the chance to optimize deep learning hardware and software architecture and make the significant impact in a dynamic technology focused company What you’ll be doing: - Benchmark and analyze performance of various machine learning/deep learning workloads across GPU- and NPU-based architectures - Build and validate performance models, and deliver performance projections and insights for deep learning (LLM/GenAI) workloads on emerging architectures - Identify architecture, software and system performance bottlenecks and propose actionable optimizations - Explore and evaluate new software/hardware capabilities and translate them into measureable application gains - Leverage AI agents to accelerate performance investigation and engineering workflows What we need to see: - BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,) - 3+ years of working experience in relevant directions will be a plus - Familiar with GPU or Accelerator-based deep learning platform and software stack - A strong background in computer architecture - Familiar with LLM or generative AI deep learning algorithms and kernel optimizations - Experience in system architecture design and performance optimization - Familiar with machine learning and deep learning frameworks - Hands-on experience using AI agents to assist daily engineering work
Solutions Architect - Physical AI TPM
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers, focusing on defining and solving computational challenges in LLM inference and training acceleration, as well as network communication and data transfer optimization. What You'll Be Doing: - Track and drive ongoing Physical AI engagements across autonomous driving, robotics, and industrial automation, working closely with customers’ technical teams, local field teams, and global product teams. - Serve as the technical product management interface between local customer engagements and NVIDIA product organizations, ensuring clear visibility into engagement status, milestones, blockers, and next steps. - Coordinate joint projects between local SA teams, customers, partners, and global product / engineering teams, ensuring requirements are well documented, and progress is tracked through delivery. - Deeply understand customers’ Physical AI workloads and requirements — including simulation, synthetic data generation, robot learning, digital twins, and embodied AI model development — and map them to NVIDIA platforms such as Isaac Sim, Isaac Lab, Omniverse, Cosmos, DRIVE, and related software stacks. - Track and analyze industry trends, customer adoption patterns, and competitor solutions in autonomous driving, robotics simulation, embodied AI, digital twins, and world foundation models, and provide insights on how NVIDIA Physical AI products should evolve to meet market expectations. What We Need to See: - 5+ years of experience in the technology industry in roles such as technical product manager, technical program manager, solutions architect, systems engineer, robotics engineer, or ML engineer, with a master’s degree or above in computer science, robotics, electronic engineering, automation, or related fields. - Experience managing technical product or customer engagement programs, including tracking milestones, coordinating cross-functional stakeholders, managing risks, driving issue resolution, and communicating status to leadership. - Strong interest in Physical AI, autonomous driving, robotics, simulation, and accelerated computing, with the passion to quickly go deep into new products, tools, and frameworks. - Familiarity with one or more Physical AI domains such as robot simulation, autonomous vehicle development, reinforcement learning, synthetic data generation, digital twins, sensor simulation, or embodied AI model training. - Excellent communication skills: able to explain complex technical concepts clearly to audiences with varied technical backgrounds, and able to structure documents, dashboards, and presentations in a concise and convincing way. - Proficiency in written and spoken English and Chinese for collaboration with global product teams and local customers. Ways to Stand Out from the Crowd: - Hands-on experience with NVIDIA Physical AI platforms such as Isaac Sim, Isaac Lab, Omniverse, Cosmos, DRIVE, or related simulation, robotics, and AI development tools. - Experience owning or contributing to a product roadmap, or technical program plan in an AI software, robotics, simulation, or autonomous systems domain. - Background in autonomous driving, robotics, embodied AI, synthetic data generation, world models, or large-scale simulation platforms. - Strong understanding of Physical AI ecosystem trends, including robotics foundation models, world foundation models, synthetic data pipelines, and competing industry platforms With competitive salaries and a generous benefits package, we are widely considered to be one of the 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 best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.
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