Search AI Jobs
16,591 published AI roles — filter by keyword, skill, seniority or contract type.
16,591 results
Updated
Senior Software Engineer, LLM Inference
NVIDIA has been at the forefront of the deep learning revolution, pioneering innovations that have transformed the entire field. As the leading provider of GPUs and AI computing platforms, NVIDIA has empowered researchers and engineers worldwide to accelerate breakthroughs in artificial intelligence. We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team brings the latest research in LLM inference — from novel decoding strategies to quantization schemes — into production across NVIDIA's hardware lineup, from large data center servers to powerful edge devices. We work on the most advanced architectures in the field, with a focus on NVIDIA's own. What you'll be doing: - Implement and optimize inference algorithms for LLM and omnimodal architectures, including hybrid Mamba-Transformer and mixture-of-experts models - Profile inference pipelines using NVIDIA's profiling and simulation tools. Correlate simulation predictions against real hardware across data center and edge devices - Write and tune GPU kernels (CUDA, Triton) for operators like fused MoE layers, SSM state updates, and quantized GEMMs - Solve distributed inference problems: expert parallelism, communication-compute overlap, collective tuning, multi-node deployment - Build production-grade software inside major open-source libraries - vLLM, SGLang, Dynamo, FlashInfer - Own optimization features end-to-end, from scoping through delivery, collaborating with research, product, and engineering teams worldwide What we need to see: - B.Sc., M.Sc., or equivalent experience in Computer Science or Computer Engineering - 5+ years of hands-on software engineering experience in performance-critical systems - Solid understanding of deep learning architectures (Transformers, SSMs, MoE, …) - Experience with systems where hardware constraints matter: GPU programming, memory hierarchy, networking, or distributed computing - Strong software engineering fundamentals: clean design, extensibility, testability. Good judgment about when complexity is warranted - Effective communicator who works well across teams and time zones - Experience optimizing deep learning workloads on NVIDIA GPUs using roofline models, Nsight/PyTorch profilers and end-to-end traces Ways to stand out from the crowd: - Contributions to open-source inference runtimes and libraries - vLLM, SGLang, FlashInfer, Dynamo or similar - Hands-on work with LLM quantization (FP8, NVFP4, MXFP8, mixed-precision) and practical understanding of numerical precision tradeoffs - Track record with distributed inference at scale: tensor parallelism, pipeline parallelism, expert parallelism, disaggregation, multi-node orchestration - Deep knowledge of the latest LLM architectural trends: multi-token predictors, sparse hybrid models, attention and state-space mechanisms - Experience with performance modeling and simulation-to-silicon correlation NVIDIA is widely considered one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people working for us. If you're creative and autonomous, we want to hear from you! We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer. 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 Developer Enablement Manager - Agentic AI and L...
NVIDIA Deep Learning Institute (DLI) enables developers to build practical, real-world skills across Agentic AI, Physical/Industrial AI, and AI Factories through diverse hands-on training and industry-recognized certification, driving the growth of a global AI-ready workforce and accelerating AI adoption across industries. We are seeking a Training Advisor who has deep technical expertise in China to engage and scale the emerging agent-native developer community. In this role, you will bridge fast-evolving technical trends and developer needs with NVIDIA training and certification programs, empowering developers of all experience levels to innovate and succeed in the age of AI. What you’ll be doing: - Monitor technology trends and market feedback in China, and translate insights into localized training priorities and action plans. - Embed learning paths and content into developer-centric technical platforms and communities to expand the adoption of NVIDIA training and certification naturally. - Integrate training into developer-focused field activities, in collaboration with field teams across marketing, technical, and business, as well as partners, to support developer ecosystem growth as a strategic enabler. - Develop and deliver tailored presentations, demos, and enablement sessions that communicate the know-how and value offered through NVIDIA training to target audiences. - Identify local content gaps and lead content development projects end-to-end, including requirements definition, collaborator alignment, project management, launch readiness, and adoption support. - Track, measure, and report impact against defined success metrics. What we need to see: - Bachelor’s degree or higher in AI, Computer Science, Software, Engineering, or a related field. - Strong familiarity with NVIDIA products, platforms, and developer ecosystem, and skill in aligning relevant technologies and learning paths to developer and ecosystem needs. - 5+ years of experience in customer-facing roles such as technical training, solutions consulting, technical enablement, ecosystem engagement, pre-sales, or developer programs. - Solid understanding of Agentic AI and Physical AI technologies and ecosystems, demonstrating skill in explaining technical concepts clearly to varied audiences. - Experience managing projects across multi-functional groups, showing skill in handling multiple concurrent projects and delivering results. - Highly motivated, with the ability to thrive in fast-paced, dynamic, and evolving environments. - Effective written and verbal communication skills in both English and Chinese. Ways to stand out from the crowd: - Validated hands-on experience building real-world Agentic AI and/or Physical AI applications and enabling developer communities. - Experience delivering technical talks and presentations at large-scale events. - Strong multi-functional collaboration across globally distributed teams. - Demonstrate experience to continue learning new skills and growing capabilities as ventures into new markets.
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 4+ years or MS (or equivalent experience) with 6+ 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 24, 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.
System Software Engineer - GeForce NOW Low Latency...
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the forthcoming age of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. NVIDIA's GeForce Now, the next-generation gaming service powered by NVIDIA GPUs in the cloud, transforms a Mac, any PC or just a mobile device into a high-performance gaming rig. GeForce NOW automatically keeps games up-to-date and users around the globe can instantly stream the latest games in high-definition resolution at the lowest latency for smoothest of gameplay. Just click and play! Visit us at https://www.nvidia.com/en-us/geforce-now We are looking for a Systems Software engineer to join a team of highly skilled and motivated engineers who build the ultra low latency Streaming technology for GeForce Now. We optimize for ultra low latencies and smoothest streaming for every device type making the right trade-offs across portability, performance, QoS and latency in our designs. Now, are you passionate about driving streaming technology to its edge? If you are a self-starter who can challenge the state of art and build innovative solutions and has the persistence to see ideas through, then we are keen to hear from you. What you will be doing: - Develop and improve media streaming stack to deliver ultra low streaming latency, video quality and network resilience - Own end-to-end software development cycle for features and modules and meet performance, reliability, scalability and sustainability requirements - Develop tools for video perf and quality analysis, verification and tuning - Define and build performance metrics and indicators, leverage data to analyze and improve streaming performance and user experience - Participate in software reviews and contribute to quality of designs and code across the team - Contribute to the evolution of team processes and methodologies What we need to see: - Proficient in C, C++, Multi-threaded programming, System software design and debugging skills - Experience implementing and improving perf and video quality through different stages of video processing pipeline - Experience analyzing performance and CPU/ GPU resource utilization for video/ graphics applications - Background with usage of different video capture, codec and render pipelines and API - Experience with networking, WebRTC and other audio and video transport and handshake protocols - Experience with development and debugging on Linux and Windows platforms - BS or MS in Computer Science or related subjects (or equivalent experience) with 3+ years of experience in above areas Ways to stand out from the crowd: - Passionate about gaming and its immersive experiences. - Skilled in graphics technologies such as DirectX, Vulkan, CUDA, and OpenGL. - Knowledgeable in the Android graphics framework and low-latency video streaming solutions, including NVIDIA video encoder. - Proficient in audio/video driver interfaces across platforms and familiar with telemetry, visualization tools, and data analysis. With competitive salaries and a generous benefits package, NVIDIA is considered one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking individuals in the industry working for us. Due to unprecedented growth, our exclusive engineering teams are expanding rapidly.If you’re a creative engineer who enjoys autonomy and shares our passion for technology, we are eager to connect with 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 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 July 24, 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 Systems Software Engineer - Fleet Debuggabi...
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. We are the Datacenter System Software team, and we are looking for a highly motivated, creative Senior Engineer o drive Fleet Scale Debuggability end to end. You will design, architect, and build infrastructure, tooling, analytics on how to collect multi-rack scale logs. The solution should normalize, correlate, and reason over logs spanning multiple components, trays, or racks including NVIDIA's GPUs, CPUs, Network products. The logs shall be fetched inband or out of band and should help triage fleet level issues seen by our customers. Your work directly shortens the path from a raw, noisy log stream to an actionable root cause. Join us at the forefront of technological advancement. What you will be doing: - Architect, Design, build, fleet-wide log collection and analysis solutions that aggregate signals across components, trays, and racks. - Develop tooling to collect, normalize, and time-align logs from heterogeneous sources — kernel and driver logs, syslog, Redfish event logs, SEL, firmware and BMC logs — over both in-band and out-of-band channels. Build and maintain a log catalog and taxonomy that maps raw log signatures to fault classes, severity, and remediation guidance, so triage is repeatable rather than tribal knowledge. - Develop debug and root-cause tooling that turns high-volume fleet logs into ranked, actionable diagnoses for hardware, firmware, and platform faults. Drive the design for collecting and analyzing logs at fleet scale while keeping overhead on production compute nodes low. - Partner with all matrixed organizations — developers, SWQA, and product engineering — in a fast-moving environment with end-to-end logging solutions, event schemas, and the contract between log producers and your tooling. - Steward the project's open-source release: keep internal and public code paths clean, review community contributions, and represent the tooling in upstream discussions. - Write design docs and own end-to-end delivery, working across teams from definition through implementation, debugging, testing, and early customer support. - Perform code reviews and partner with development and QA to strengthen unit testing, integration coverage, and test plans. - Track work through Jira and bug-management tools and build a realistic end-to-end execution plan in collaboration with other engineers and managers. What we need to see: - 10+ years in the software industry with specialization in system software and/or firmware development. - BS, MS, or PhD in CS, CE, EE, or a related technical field — or equivalent experience. - Proven track record of shipping scalable server products or fleet-wide experience. - A self-starter who loves finding creative solutions to complicated problems, with excellent written and oral communication skills — including executive-level reporting — strong work ethic, and dedication to teamwork. - Flexibility to work and communicate effectively across teams, partners, and time zones. - Experience with SCM (e.g., Git, Perforce) and project-management tools like Jira. Strong, demonstrable skills in Python or RUST. - Deep Linux systems experience: kernel and driver logs, syslog, journald, and the realities of debugging on server platforms. - Hands-on experience with out-of-band management and platform interfaces — BMC, Redfish, IPMI, SEL — and an understanding of in-band vs. out-of-band trade-offs. - Strong skills in log parsing, normalization, and structured logging, and comfort designing schemas and taxonomies for machine-readable events. Ways to stand out from the crowd: - Experience leading debuggability solutions on sophisticated rack-scale compute architectures like GB200/GB300 NVL72. Familiarity with log and telemetry analytics stacks (e.g., OpenSearch/ELK, Loki, Prometheus, Grafana, PagerDuty) and time-series databases. - Hands-on experience with x86/ARM system architecture and coding (C/C++, Python). Experience with SCM (Git, Perforce) and project management tools (Jira). - Track record of integrating AI/LLM tooling into engineering workflows — for triage, validation, log analysis, or test generation. Experience standing up follow-the-sun support organizations with measurable response SLAs - Experience contributing to or maintaining open-source projects, including managing the boundary between internal and public code. NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 24, 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 Developer Technology Engineer - AI
We’re currently seeking a Senior Developer Technology Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of computer hardware? Could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role. What you will be doing: - In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains. - Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure the best possible AI solutions on modern CPU and GPU architectures. - Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community. - Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA. What we need to see: - A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience). - You have 8+ years of relevant work experience or research. - Programming fluency in C/C++ with a deep understanding of algorithms and software development. - A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. - Hands on experience doing low-level performance optimizations. - In-depth expertise with CPU and GPU architecture fundamentals. - Good communication and organization skills, with a logical approach to problem solving, and prioritization skills. Ways to stand out from the crowd: - Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc. - Excellent understanding of linear algebra. What's DevTech? We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the cutting edge of technology, advancing NVIDIA’s leadership in accelerated computing. Our discoveries generate findings that benefit the Developer Community and provides guidance to our engineering teams to help make our products better. NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and our Developer Technology Engineering team has been steadily growing to meet the demands for our services. 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 computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 24, 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.
Engineering Manager, AI Developer Technology
We are now looking for an AI Developer Technology Engineering Manager: Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and enhance the value of our platforms for developers. As a key member of our AI DevTech team, you'll lead a team of highly skilled engineers accelerating end-to-end performance of real-world Deep Learning and Machine Learning applications and developing novel algorithms to optimally leverage Nvidia hardware. Application examples are Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems, and Multimodal architectures. As a Developer Technology Manager, you'll define and lead strategic technical initiatives, setting short- and long-term goals for your team. You'll work closely with customers as well as NVIDIA Research, hardware, and software teams to drive innovation and advance the state-of-the-art in accelerated Deep Learning and Machine Learning. Your team will focus on optimizing performance of complex parallel algorithms and workloads on NVIDIA platforms, including GPU, CPU, and interconnects. What you’ll be doing: - Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications - Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications - Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models - Develop and communicate technical solutions to external and internal collaborators, including technical design decisions and project plans - Hire the best talent to join your team, promoting a diverse and skilled team that can tackle complex technical challenges - Coach and grow your team, promoting a culture of engineering excellence and idea proliferation What we need to see: - An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science or engineering degree (or equivalent experience). - 8+ overall years of relevant experience with 5+ years in a technical role and 3+ years of experience in an engineering leadership role. - In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference - Background in parallel programming, e.g., CUDA, OpenMP, MPI, pthreads, etc. - Programming fluency in C/C++ with a deep understanding of algorithms and software development. - Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations - Excellent written and presentation skills. - Proven track record of planning and leading critical initiatives. Ways to stand out from the crowd: - A PhD in a relevant field - Expertise in LLMs, multimodal model architecture and performance optimizations of relevant computational primitives - Proven experience with recruiting top talent. What's DevTech ? We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the forefront of technology, advancing NVIDIA’s leadership in accelerated computing. Our discoveries generate learnings that benefit the Developer Community and provides guidance to help make our products better. NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and Developer Technology Engineering has been steadily growing to meet the demands for our services. We now have need for a leader to join and help continue our momentum. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you love building and mentoring a team and are highly technical and enthusiastic about Deep Learning and GPU accelerated AI performance optimizations, 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 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 24, 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 Verification Engineer
We are seeking a driven Software Verification Engineer committed to excellence to join our innovative team and tackle challenges in high-speed networking. You will play a key role in simulating InfiniBand networks and validating complex software products that deliver advanced networking services for high-performance computing, machine learning, and AI workloads. What You’ll Be Doing: - Design and develop applications that simulate large-scale, high-speed networks, which are essential for testing software features that cannot be validated on physical hardware. - Build automated tests in a simulated environment for high-end hardware and software to ensure the robustness and reliability of our networking software stack using advanced testing platforms. - Collaborate with Software, Firmware development, and Architecture teams to foster open communication, understand new network technologies, and work together to ensure accurate modeling in your simulation applications. - Improve product quality by enhancing test coverage and developing comprehensive verification strategies. What We Need to See: - Bachelor’s degree in computer science or a related field, or equivalent experience. - Proven experience of at least 3 years in similar roles, emphasizing collaborative problem-solving. - Proficiency in Python programming. - Familiarity with developing modern Software Verification Systems, with a strong interest in algorithms. - Strong skills in implementing and debugging software, including experience working in a Linux environment. Ways to Stand Out from the Crowd: - Understanding of the OCI/network model. - Knowledge of C/C++ programming. - Experience with Docker and Kubernetes. - 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 influence 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 Firmware Design Engineer, Optics
Do you consider yourself a Technical Leader? Want to get your hands on NVIDIA's groundbreaking Network technologies? Are you a person who’s not afraid of challenges? We are looking for an excellent Senior Optics Firmware Design Engineer to develop the 1600GbE Data Centers and Networks of tomorrow. We develop the FW for every Transceiver and Optical device. Working with the industry leaders in Machine Learning Platforms, Data Centers, High Performance Computing, Storage Platforms and more! You’ll be joining the LinkX FW team who is a Leading Supplier of End-to-End Interconnect Solutions and that cares about who and what you are. We are a fast-growing company with positive energy that emanates from our team members' internal drive to develop, market, sell, and support ground breaking products and services. We are a strong believer in developing our employees and giving them the tools to succeed! What you will be doing: - Develop NVIDIA's next-generation network products Firmware - Developing cutting edge technology and systems with Optical Engines - Take part in sophisticated networking Firmware features development for Cloud and Datacenter. Focusing on Physical Link-up process and optimizations - Collaboration with leading Network companies which are our customers What we need to see: - B.Sc.\M.Sc. degree in Electrical Engineering or Computer Engineering - 5+ years of proven experience working with established brands - Programming Knowledge in C and Python - Knowledge about analog and digital electronics - Positive mind, target-oriented and hardworking spirit - The motivation to learn and constantly improve processes and tools Ways to stand out from the crowd: - Knowledge of real-time SW, RTOSs, Object-Oriented Programming, Scripting - Knowledge of bus protocols like I2C, UART, SPI - Experience with MCU low level, bring ups, test equipment (Scope, Logic …) - Good knowledge of standard specs (Ethernet, InfiniBand, CMIS, Physical Layers and Optics) LI-Hybrid
Senior DevOps Engineer, AI Agent Platforms
NVIDIA is spearheading the AI revolution and the creation of powerful accelerated compute platforms for global utilization. Our mission is to put AI at the center of engineering throughout NVIDIA's networking architecture team. We build AI agents that solve real engineering problems, the platforms that make them reliable, and we lead the team's AI adoption, making sure it happens fast and with strong engineering practices. Powered by the AI revolution we are changing how hardware architecture work happens! We strive to define and implement this new agentic architecture, and we are seeking a DevOps software engineer for our agentic AI team. If you are excited to work at the frontier of AI agents and want your work to multiply the output of hundreds of engineers, we want to hear from you. What you'll be doing: - Build AI agents that solve real engineering problems across the networking stack, with a focus on the infrastructure and services that bring them into reliable daily use. - Design, build, and operate the platforms that make those agents reliable: MCP tools, service APIs, cloud and on-prem services, and the systems behind them. - Work broadly across networking architecture teams to identify high-impact AI use cases and turn them into working solutions. - Drive rapid and responsible AI adoption across the organization: establish best practices, guardrails, and evaluation methods so teams embrace agentic workflows with confidence. - Build evaluation and observability pipelines that measure AI-agent behavior and platform reliability on real production workloads. What we need to see: - BSc in Computer Science or a related field, or equivalent experience. - 3+ years of relevant practical experience in DevOps, platform engineering, or SRE roles ideally including work on a large-scale software product. - Deep hands-on experience with Linux, cloud and on-prem environments, Kubernetes and container runtimes (Docker/containerd), and infrastructure as code. - Proven experience designing, building, and maintaining CI/CD pipelines for production services. - Strong scripting and automation skills in Python/Bash and one compiled language (Go/Rust). - Experience with observability, monitoring, and security practices. - Advanced, demonstrable use of AI and agentic workflows in your daily engineering work well beyond standard coding assistant usage. - A drive for end-to-end ownership and strong communication skills. Ways to Stand Out from the Crowd: - Hands-on experience with LLM APIs and agent frameworks, including building tools/MCP integrations. - Background in computer networking or HPC. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Senior Factory Support Firmware Engineer
NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. What you’ll be doing: - Working with a global team of BIOS and BMC developers on NVIDIA server designs. - Writing and automating unit tests for each implemented module and creating detailed unit test cases. - Working closely with hardware teams to influence hardware design and onsite support factory reported issue triage and issue solving during product builds. - Working with design architects to come up with proper test tools and automation for qualifying the whole system software and firmware stack. What we need to see: - Domain expertise in BIOS or BMC Firmware development on X86 or ARM Platforms including BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc. - Strong experience with AMI/Insyde or OpenBMC or UEFI Firmware architecture for server products. - Solid experience of end-to-end delivery of high-end enterprise servers from definition to customer deployment. - Solid understanding of low-level interfaces between SBIOS, BMC and OS like I2C/SPI/PCIe/JTAG etc. PCIe enumeration, IO at platform level for enterprise systems. - Experience working closely with HW teams, ODMs and vendors to introduce and support server platforms. - Experience with C/C++ development, bash/python for scripting, and debugging skills in embedded Linux operating environments. - You should possess excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to exciting problems. - Bachelor’s Degree or higher in Electrical Engineering or Computer Science, and 5+ years of experience, with demonstrated strong ability as individual contributor. Ways to stand out from the crowd: - Contributor to industry standards like Open Compute, IPMI, DMTF Standards, Redfish and open source. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Manager, Solutions Architecture - NVIDIA AI Cloud...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for an experienced people-manager to lead a regional team of Solutions Architects supporting NVIDIA Cloud Partners as they design, build, and operate large-scale AI and HPC GPU infrastructure. Do you want to lead the team that brings GenAI, AI, and ML hardware and software technologies to production in the field? As the manager of NVIDIA's regional account Solutions Architecture team, you will guide and develop a group of technical experts who drive end-to-end solution integration with some of NVIDIA's most strategic Cloud Partners, while shaping business and engineering priorities through customer feedback on product strategy. You will balance technical leadership with people management—coaching your team, setting technical direction, and partnering with sales leadership to grow NVIDIA's footprint across the region. What you'll be doing: - Lead, mentor, and grow a regional team of Solutions Architects supporting NVIDIA Cloud Partners, setting technical direction and career development plans. - Partner with Sales Account Managers and business leaders to identify and secure business opportunities for NVIDIA products and solutions across the region. - Oversee your team's technical engagements throughout the customer lifecycle, ensuring successful design, build, and production of extensive GPU cloud infrastructure. - Represent NVIDIA in executive-level technical discussions with Cloud Partners, covering project and product details, roadmap, new technologies, and escalations. - Establish standard methodologies, tools, and best practices that improve the quality and consistency of your team's technical delivery. - Manage team workload, prioritisation, and resourcing to balance multiple partner engagements simultaneously. - Collaborate with product and engineering teams on joint solutions for customer performance and scaling issues, channelling field feedback into product strategy. What we need to see: - BS/MS/PhD in Electrical/Mechanical Engineering, Computer Science, or related field, or equivalent experience. - Motivation and skills to own and drive technical engagements—and the teams behind them—throughout the full customer life-cycle. - 5+ overall years in Solutions Engineering (or similar Sales Engineering, Cloud Engineering) working directly with partners and customers. - 2+ years of people-management or team-leadership, with a track record of developing and retaining high-performing international technical teams. - Expertise in crafting and deploying large-scale cluster environments. - Practical expertise in datacentre design, development, and execution for AI and HPC. - Efficient time management and the ability to communicate ideas clearly across your team, partners, and executive stakeholders through documents, presentations, etc. Ways to stand out from the crowd: - Ability to build or scale a regional technical team supporting cloud or infrastructure partners. - Hands-on experience with large datacentre design, power distribution, and cooling (liquid to chip) - Practical familiarity with NVIDIA hardware (such as GPUs, ETH/IB networking components, storage, etc.) within extensive AI and HPC cluster settings. - Background with at scale GPU systems in general, encompassing performance testing, AI benchmarking, and more. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Senior Account Manager, Hyperscale and AI Natives
We are looking for an Account Manager passionate about AI Native clients! At NVIDIA, we are seeking a high-energy and experienced professional with a proven track record of leading dynamic accounts. This full-time position requires close working relationships with NVIDIA solution architects, product marketing, business units, and developer relations, to drive revenue for the company. This role requires a solid understanding of the AI Native's business landscape. This person should have the ability to shift easily from working with senior level executives and strategic decision makers to technical leaders, category managers and buyers both inside and outside the company! What you'll be doing: - Responsible for all aspects of strategy creation and implementation, forecasting, sales account management, training and education to a select list of AI Native customers - Be the key point of contact and relationship owner for a defined set of customers - Build key accounts into strategic partners, and drive sustaining revenue, market share growth and product footprint - Work closely with partners, OEMs, and ecosystem partners to build and implement go-to-market plans to accelerate growth and adoption of the enterprise product family, as well as building winning capabilities and leading change - Contributing to the long-term success of US Enterprise by being a collaborative leader amongst your peers. Consistently striving to improve and reinvent yourself - Evangelize the use of NVIDIA's platform, products and technologies to your customers and partners What we need to see: - Bachelor's degree or equivalent experience. - 12+ years’ experience selling solutions to senior executives at named accounts - A real passion for getting things done in a dynamic sales and technology environment - Proven track record leading significant revenue and overachieving targets to meet stretch goals - Demonstrated ability to provide thought leadership, think strategically and effectively communicate vision (both written and verbal) and influence cross-functionally - Experience working in the AI Industry or with AI Native or Hyperscale customers - Ability to travel as needed Ways to stand out from the crowd: - MBA or graduate degree - Adept at stabilizing intense short-term pressures with overall long-term goals. Strong executive presence, polish, and political savvy - Track record of successfully growing revenue for new innovative technology-based solutions - Excellent communication skills and ability to persuade -- using simple communications that convey complex concepts in a compelling, concise, and creative way - Demonstrated ability to build and lead in a matrix-managed team culture 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 cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 25, 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.
HR Business Partner
Are you a person who likes to work in a fast-paced organization? NVIDIA is the world leader in Visual Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. 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 forward-thinking and talented people on the planet working for us. If you're forward-thinking, hardworking, driven and if working with extraordinary people across countries sounds interesting, this job is for you. We are now looking for a Human Resources Business Partner to provide HR support for our Global Operations organization. We are looking for someone who is passionate about supporting the business and growing their HR expertise. You will partner with HR team members and business leaders to support how we staff, onboard, develop, motivate, retain and organize work. You will need strong communication skills, curiosity, and the ability to operate in a fast-paced and innovative environment. This position will support the Global Operations organization’s mission. In this role, you will partner with managers and HR team members onsite in Santa Clara, CA within NVIDIA organizations to help execute HR strategies that support organizational and people effectiveness. You will contribute to both strategic initiatives and hands-on HR support. You should be able to understand business priorities and help translate them into HR actions that support a growing organization. At NVIDIA, the HR Business Partner also collaborates closely with central HR teams to support areas such as performance management, employee relations, compensation, career development and leadership development. What you will be doing: - Partner with the Global Operations HR team and business leaders to understand business needs and support implementation of HR plans and programs - Provide guidance to managers and employees on day-to-day people-related matters with support from senior HRBPs - Analyze and interpret HR metrics to identify trends and provide data-driven insights to improve employee experience and organizational effectiveness - Conduct headcount analysis, assist with workforce planning and support recruitment efforts - Support key HR processes including performance management, talent reviews, development planning, mobility , and compensation cycles - Partner with managers and employees to help resolve employee concerns, ensuring fair and consistent practices - Collaborate with cross-functional HR teams to support effective HR service delivery and employee engagement initiatives What we need to see: - Bachelor’s degree in Human Resources, Business, or related field (Master’s preferred or in progress) or equivalent experience - 5-7 years of HR experience across areas such as employee relations, performance management, talent management, or HR operations - Strong analytical skills with the ability to interpret data, identify trends, and translate insights into actionable recommendations - Experience working with data tools (e.g., Excel, dashboards, or HR systems) to support reporting and decision-making - Strong communication and interpersonal skills with the ability to build relationships and establish trust - Ability to manage multiple priorities, work in a fast-paced environment, and collaborate effectively in a matrixed organization Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 112,000 USD - 178,250 USD for Level 3, and 144,000 USD - 230,000 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 25, 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 Engineer, Applied Research - Accelerator...
As the world’s leading accelerated computing company, we are paving the way with innovations in self-driving cars, robotics, machine learning, super-computing, and visualization. We are building a team that will truly change the world and would love for you to join us. We are seeking a Software Architect - Applied Research, Accelerator Programming Model and Compiler to help define the next generation programming model for NVIDIA’s Programmable Vision Accelerator (PVA) built for developers and AI coding agents. The PVA is a power-efficient, deterministic VLIW/SIMD processor used across NVIDIA DRIVE, Jetson, and IGX platforms. This role sits at the boundary between research and production systems software. You will explore and innovate new methods for expressing PVA workloads through higher-level declarative abstractions, domain-specific languages, and compiler/runtime interfaces. These interfaces will provide well-defined targets for both developer-written and AI-generated code. The successful candidate will be comfortable moving across levels of abstraction: shaping public APIs, debugging code generation deep in an LLVM-based backend, and researching higher-level programming models. They will also integrate the compiler with agentic coding harnesses, evaluate AI-generated code for correctness and performance, and improve the compiler-feedback loops to help agents produce optimized implementations. What you will be doing: - Define the next-generation PVA programming model for developers and AI coding agents, making it easier to build optimized algorithms for PVA. - Enable AI agent–driven PVA development by abstracting hardware-specific details into agent accessible, declarative interfaces, supported by improvements to compile time, emulator speed, and diagnostic tooling. - Provide technical leadership for the architecture, and feature set of the PVA SDK, runtime APIs and programming model. - Define benchmarks and evaluations for agent-generated PVA code and use them to improve the compiler optimizations and diagnostics. - Develop and actively improve the LLVM-based VPU compiler backend targeting VLIW/SIMD architecture. - Research and define efficient integration models for PVA workloads in CUDA-based heterogeneous pipelines, including execution, memory movement and synchronization. - Drive deep technical integrations with internal and external customers to improve adoption and shape PVA runtime API for real-world workloads. What we need to see: - BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience. - 15+ years of experience building high-performance, low-level systems software, accelerator software, embedded software, or compiler/toolchain infrastructure. - Experience building higher-level programming abstractions, DSLs or compiler IRs that abstract hardware complexity while preserving performance. - Experience with compiler, debugger, linker, or toolchain development, particularly using LLVM. - Experience developing code with agents — Claude Code, Cursor, Open AI and inference SDKs. - Experience integrating compilers and developer tools with AI coding agents or agentic development harnesses. - Experience programming SIMD/VLIW processors. - Excellent software development skills in C++, including low-level debugging and performance profiling. - Experience with Linux or QNX development environments. - Strong communication and social skills. Ways to stand out from the crowd: - Experience with CUDA, especially integrating accelerators into a CUDA-based heterogeneous compute pipeline. - Background with MLIR, Halide, TVM, Triton, graph compilers, image-processing DSLs, or other declarative/compiler-based programming systems. - Familiarity with ISO 26262 and IEC 61508 or equivalent quality/safety standards. - Experience building agent harnesses and orchestrating long-running, stateful, multi-agent workflows 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 widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 25, 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.
Manager, Software Architecture
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are Seeking a Software Engineering Manager for our applied research team within NVIDIA’s Networking Systems & Software Architecture group. This role will be based in Santa Clara, CA. This team is solving some of AI’s hardest infrastructure problems. The team builds systems-level software that moves data between GPUs, nodes, and storage at the speed modern AI demands—spanning low-level transport optimization, hardware-software co-design, and communication frameworks that plug directly into production AI stacks. The team's charter expands into emerging domains including quantum computing interconnects. This Engineering Manager role leads a team responsible for that work—owning execution, and setting technical direction. It calls for someone technically strong enough to drive architecture and focused on creating an extraordinary engineering organization! What you will be doing: Lead and develop a team of systems and networking engineers building distributed AI communication systems—libraries, frameworks, and system integrations. Build the technical roadmap in partnership with principal engineers and architects, balancing near-term delivery with long-term research bets. Create a culture of technical excellence and open collaboration. Handling project planning, resource allocation, and delivery timelines across concurrent workstreams. What we need to see: 8+ overall years of software engineering experience with advanced knowledge in systems software, networking, or distributed systems. This experience allows credible participation in architecture reviews and making informed trade-off decisions. 3+ years of direct people management experience. BS, MS, PhD or equivalent experience in Computer Science, Computer Engineering, or a related field. Ability to scope a problem, set a plan, and deliver results in a fast-paced R&D environment. Strong communication skills—comfortable speaking publicly, writing technical documents, and giving candid feedback. Good understanding of computer architecture, memory hierarchies, DMA engines, and networking. Proficiency in programming languages such as C, C++, Rust and Python. Understanding of ML systems concepts—transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns. Ways to stand out from the crowd: Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements. Familiarity with hardware and software ecosystems. Experience with agile methodologies adapted for engineering teams dedicated to research. This role is born out of the unprecedented growth in this segment of the industry, our engineering teams are experience rapid demand increases. If you're a creative and autonomous engineer with a real passion for technology, we want to speak with you. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 2; and 224,000 USD – 356,500 USD for Level 3. 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 Developer Relations, AI - Security
NVIDIA is seeking a technical Senior Developer Relations professional to engage in deep collaborations with the next generation of security companies building solutions for the AI and Agentic era. In this role, you will work directly with security companies, guiding them on how to leverage the NVIDIA software stack when developing solutions to secure AI and Agentic environments and other processing workloads! The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating about how NVIDIA technology can solve complex, real-world challenges! What You'll Be Doing: - Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in the AI and Agentic Security industry, working with cross-functional partners to drive adoption of NVIDIA technologies. - Identify opportunities to accelerate critical workloads by demonstrating solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines. - Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions. - Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies. - Collaborate cross-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies. - Represent and advocate for partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps. - Grow and activate developer communities around accelerated software, representing co-engineered products at conferences, meetups, and hackathons and delivering technical talks and hands-on workshops. - Surface developer sentiment and ecosystem trends, translating them into actionable intelligence that informs product direction and platform strategy. What We Need to See: - Bachelor’s of Computer Science, Engineering, or a related field, or equivalent experience. - 8+ years of overall professional experience in the technology industry across software engineering, developer relations, or technical partnerships, including 3+ years of direct experience in AI or Agentic Security. - Proven experience leading, partnering, and scaling developer programs at major technology companies, preferably security companies. - Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or security frameworks and libraries. - Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences, from engineers to executives. - 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 partners across sales, legal, product, or marketing teams as needed. Ways to Stand Out from the Crowd: - Hands-on experience designing, building, or optimizing cybersecurity vertical-specific solutions, such as data pipelines, AI models, AI agents, ML analytics, etc. - Familiarity with advanced computing, AI, and/or accelerated computing platforms such as CUDA, Triton, NeMo, or DOCA. - Experience with AI/ML security, LLM application security, or applying AI to cybersecurity use cases. - Successful history of building and scaling developer communities and delivering impactful technical enablement programs. NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 25, 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 Circuit Silicon Correlation 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. What will you be doing: - Participate in ground breaking Processor design and debug in deep submicron technologies. - Work in a multi functional team passionate about Silicon characterization and correlation to pre-Silicon Performance and Power models. - Responsible for generating ATPG patterns for Silicon speed path debug. - RTL and gate level verification for ATPG, non-ATPG patterns. - Correlating diagnosis result to map to real design failures. Root cause the same feed learnings to pre-silicon design sign off parameters. - RAM correlation by studying RAM circuit failure mechanisms and understanding their limits on silicon - Bring in more circuit understanding into the RAM testing methods across RAM types, chips and processes and improve correlation in the long run - Develop new methodologies using DFT infrastructure to analyze components of mis-correlation in logic and in/around RAM. What we need to see: - BSEE required/MS preferred in Electrical or Electronics Engineering with 8+ years experience; Prior leadership experience a certain plus. - Good understanding of Design-for-test(DFT) and logic design is required. - Must possess a solid understanding of DFT including scan, BIST, on-chip scan compression, fault models, ATPG, and fault simulation. - Must have some experience in bringing up RTL/gate level simulation, writing testcase and debugging it. - Basics of circuits and RAM functionality/architecture will be helpful. - Experience in VLSI simulation tools like VCS etc - Experience with pattern generation using tools such as tessent. - Proficiency in scripting language, such as, Python, Perl, Tcl, Make and automation methods/algorithms would be good. - Prior experience in STA and basic understanding of circuit concepts will help in the role. - Post-Silicon data gathering experience is a plus. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. LI-Hybrid
Senior Mask Design Engineer
Are you a Mask Layout Design Engineer who is seeking am amazing opportunity? We are looking for a Senior Mask Layout Design Engineer – someone who is excited to join a growing group of diverse individuals responsible for handling complex mixed-signal circuit designs! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Join our dynamic team today! What you'll be doing: - The role entails working collaboratively and multi-functionally with a multi-disciplinary team of Photonics, CMOS, Electronics, and Systems engineers - Perform physical layout for mixed-signal functions like PLL's, high speed I/O circuits, general I/O's, ESD structures designs in innovative sub-micron CMOS technologies using Cadence tools - You'll work with ASIC and mixed-signal engineers to customize designs for integration in VLSI products. - Job duties will include floor planning, custom layout and verifying against design rules and schematics. - Fill, post-processing, DRC mitigation, and foundry interactions What we need to see: - BS in Electrical Engineering (or equivalent experience) - At least 6+ years of hands-on layout design experience - Deep understanding of analog circuit layout concepts in submicron CMOS technologies. Validated experience with Cadence custom circuit design tools - particularly virtuoso - Experience running and debugging DRC and LVS with verification tools such as Dracula, Hercules, Calibre, Primeyield - Ability to work optimally in a team, good interpersonal skills and positive energy. - Proficiency in scripting languages like perl, python, skill etc. Knowledge of DRC and LVS checking flows, ability to customize DRC and LVS NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. 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 132,000 USD - 207,000 USD for Level 4, and 148,000 USD - 235,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 25, 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.
System Software Engineer - GPU Profiling
At NVIDIA, we build groundbreaking products for the following sectors: Deep Learning, High Performance Computing, Gaming, VR, and Automotive. See your efforts in action as developers use your tools to debug, profile and analyze the performance of their systems/applications using the low-level library that you helped to craft as a member of the GPU Foundations Developer Tools team! Innovate as you develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the foundation library to support next generation accelerated computing at datacenter scale. As a system software engineer in the Developer Tools group, you will be developing software that empowers GPU application developers to build outstanding applications that are recognized world-wide. We are seeking a motivated Software Engineer to join our team and contribute to the performance triage development and co-design of our software libraries in collaboration with our Hardware Architecture team. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's outstanding technology. What you will be doing: - Partner with multi-disciplinary teams to design, implement, and verify performance metrics for NVIDIA GPUs - Work on developing and improving methodologies for profiling data collection from GPUs - Define, invent, and improve our GPU profiling library with new features to allow NVIDIA's customers to extract the best performance out of their applications - Read and understand HW specs to design solutions based on it - Work on software unit level tests and framework ensuring the quality of the product - Work on supporting a variety of platforms ranging from super-computers to embedded systems What we need to see: - B.Tech. EE/CS or equivalent with 4+ years of experience, or M.Tech. with 2+ years of experience, or Ph.D. - Strong programming ability in C, C++, Python with proficiency in Data Structures and Algorithms - Solid understanding of Computer Architecture (e.g. x86, ARM CPUs, GPUs) and Operating System concepts - Knowledge of SW design principles, as that's a key as we scale! Ways to stand out from the crowd: - Experience in Device Drivers or System Software development - Knowledge of GPU APIs such as CUDA, OpenCL, OpenGL, Direct3D, Vulkan - Prior experience authoring developer tools, particularly for GPUs - Experience in performance analysis of GPU applications - Ability to read and write in Assembly language, especially for multi-processor architectures NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated and hard-working people in the world working with us. If the work described above excites you and you are up to the challenge, we want to hear from you. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.
Senior Mask Design Engineer - Hardware
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 take on, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We would love to hear from you! We are looking for a Senior Mask Layout Design Engineer, someone who is excited to join a growing and dynamic group of diverse individuals responsible for contributing to our latest generation chiplet interface projects What you'll be doing: - Performing physical layout for mixed-signal functions like top level, high speed datapaths and high-speed clocking designs in state-of-the-art sub-micron CMOS technologies using Cadence tools. - You'll work closely with mixed-signal design engineers to customize designs for integration in VLSI products. - Take part in floor planning, custom layout and verifying against design rules and schematics. What we need to see: - Have a BSEE or equivalent experience. Minimum of 5+ years industry experience in Mask and Layout Design. - Working independently on creating layout with excellent quality - Deep understanding and previous experience for FinFET technology is a must - You are an authority with Cadence custom circuit design tools - particularly virtuoso. - Able to handle fast-paced project and iterate quickly based on designer’s feedback - You can work effectively in a team, good interpersonal skills, enthusiasm, and positive energy. - Scripting languages like perl, python, skill etc.is a plus - Should have knowledge of DRC and LVS checking flows, ability to customize decks. LI-Hybrid
Senior Mixed Signal and Analog Circuit Designer
We are looking for a Senior Mixed-Signal / Analog Circuit Designer – someone who is excited to join a growing group of diverse individuals responsible for handling challenging high-speed mixed-signal circuit designs. 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 pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. What you'll be doing: - You will be part of an analog team developing high-speed chip interfaces and complex analog functions that enable our graphics processing units (GPU) and SoC products (Tegra) - Design state-of-the-art mixed-signal circuits in deep sub-micron CMOS technologies. - Work closely with physical/layout engineers to floorplan and implement physical design of these functions. - Support debug, characterization and support product through high-volume production. - If you have the dream to learn and explore new technologies and have good analytical skills, this is the ideal position for you. What we need to see: - MSEE or PhD in Electrical Engineering with a minimum of 5 years of relevant circuit design experience. - Proven understanding of analog circuit layout concepts in submicron CMOS technologies - You have experience in more than one of the following areas: digital links for display interfaces (such as HDMI, LVDS, DVI, MIPI PHY, Display Port), USB, low-jitter clock synthesis using PLL techniques, IO pads, high-speed serial links, and ADC. - Able to communicate in spoken and written English; Work effectively in a team, good communication skills, enthusiasm and positive energy. - Proficiency in scripting languages like perl, python, skill etc. - Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like HSpice, Finesim, XA). An expert with Cadence custom circuit design tools - particularly virtuoso - Experience running and debugging DRC and LVS with verification tools We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Senior Applied AI Engineer
NVIDIA has transformed accelerated computing through innovation powered by exceptional technology and people. Within ASIC networking product engineering group, you will help bring AI into product engineering by turning fragmented engineering data into scalable, production-ready solutions for analysis, decision-making, and efficiency. In this role, you will define and deliver AI solutions that unify data across NVIDIA infrastructure and engineering systems, enabling advanced analytics for production engineering teams through AI agents, copilots, and workflow automation. You will own solutions end to end, from architecture and development through deployment, maintenance, and continuous improvement, and help shape how ASIC networking product engineering uses AI to scale engineering productivity. What you'll be doing: - Design, build, and maintain AI solutions that improve our division efficiency across production, characterization, analysis, and operational workflows. - Develop agentic analytics capabilities that enable engineers to query, analyze, and reason over ASIC data using AI agents and copilots. - Consolidate data from multiple infrastructure and engineering systems into scalable, reliable pipelines and reusable services. - Partner with production engineering teams to identify pain points, define high-value use cases, and deliver measurable impact. - Build and support tools for data access, automation, reporting, anomaly detection, and engineering insight generation. - Collaborate across NVIDIA to align interfaces, improve data quality, and support scalable deployment models. - Drive continuous improvement through user feedback, monitoring, and roadmap planning. What we need to see: - Bachelor’s in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience. - 8+ years of experience as an AI solutions engineer, machine learning engineer, or software engineer building production AI/data solutions. - Strong experience designing, developing, deploying, and maintaining end-to-end AI applications in production. - Hands-on expertise with Python and modern software engineering practices. - Practical experience with LLMs, AI agents, RAG, workflow orchestration, and data/analytics applications. - Strong background building data pipelines, APIs, services, and applications on top of structured and semi-structured engineering data. - Strong communication skills and a proactive, ownership-driven mindset. - Advantage: experience in semiconductor, hardware, product engineering, test, characterization, or manufacturing analytics environments. Ways to stand out from the crowd: - Experience building AI solutions for engineering or manufacturing organizations. - Familiarity with agent frameworks, vector databases, telemetry platforms, or internal knowledge/data systems. - Background in cross-functional work spanning software, data, infrastructure, and product engineering. - Proven track record of introducing new technical capabilities and driving adoption across engineering teams.
Distinguished Software Architect - Deep Learning a...
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a Distinguished Software Architect to help co-design our next generation data center platforms. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity to push the limits on the state-of-the-art and deliver platforms the world has never seen before. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: - Research new communication technologies (e.g. expand the GPUDirect technology portfolio) and design new features for our communication libraries - Propose innovative solutions in HW and SW for our next-gen platforms. You will co-design these solutions with the GPU, Networking, and SW architects and ensure seamless integration with the software stacks - Inspire changes based on quantitative data coming from proof-of-concepts or detailed technical analysis/modeling - Drive the adoption of new communication technologies across application verticals - Keep up with the latest DL research and collaborate with diverse teams (internal and external), including DL researchers, and customers What we need to see: - PHD in Computer Science, Computer Engineering or related field or strong equivalent experience; 15+ years of relevant experience in academia or the industry - Expert in following areas: HPC, parallel programming models (MPI, SHMEM), at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC), computer and system architecture, GPU architecture and CUDA - Deep understanding of various aspects of high performance networking from prior work experience: network technologies (Infiniband, Ethernet), network design, network topologies, network debug and performance analysis - Strong in at least a few of these areas: ML/DL fundamentals and how they tie to communications, parallel algorithms, fault tolerance and resiliency, competitive assessments, performance analysis and optimizations for parallel applications on large clusters, developing applications using DL Frameworks (PyTorch, TensorFlow) - Programming fluency with C or C++ for systems software development - Flexibility to work and communicate effectively across different HW/SW teams and timezones Ways to stand out from the crowd: - Industry recognized leader in HPC/DL communications with history of patents, publications and conference talks and keynotes in areas relevant to this role - Influential role in industry standards (e.g. MPI, OpenSHMEM) and open source software (e.g. PyTorch, UCX, Open MPI) NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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 System Software Engineer Platform - OpenBMC
NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and form teams with the smartest people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. What you’ll be doing: - Design and implement OpenBMC Firmware for GPU Server platforms focus on but not limited to Arm architecture. - Hands on work with bringing up of BMC firmware, performance analysis and coding various manageability features for NVIDIA’s Server platforms - Developing and reviewing code, writing and reviewing design documents, reviewing QA test plan and working closely with all team members to achieve consensus for design and testability as per product requirements. - Designing solutions for errors, stats & configuration appropriate to CPU, GPU, DIMM, SSDs, NICs, IB, PSU, BMC, FPGA, CPLD etc. for enterprise readiness of NVIDIA Server platforms. - Designing and developing performance optimized active monitoring BMC solutions using DMTF Standards including MCTP, Redfish, SPDM and PLDM specifications - Instrumenting code to ensure maximum code coverage, writing and automating unit tests for each implemented module and maintain detailed unit test case reports - Providing software quality reports based on static analysis, code coverage, CPU load. - Working with security team to ensure developed code is in line with product security goals. Working closely with hardware teams to influence hardware design and review HW architecture & schematics. What we need to see: - A Bachelor of Science Degree (or higher) in Electrical Engineering or Computer Science or equivalent experience. - 8+ years of experience. - Domain expertise in BMC Firmware development on X86 or ARM Platforms including BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc. - Board Bring-up expertise with hands-on experience in Device drivers like I2C/I3C, SPI, PCIe, SMBus, Mail-box etc. as well as the device trees for uboot and Linux kernel. - OOB or In-band System Management experience with exposure to standards IPMI, KCS, DMTF Standards (PLDM, MCTP, Redfish, etc), PMBus, NVMe, etc. - Understanding on REST architecture style especially JSON over HTTPs with OAuth - Strong programming and scripting skills using C/C++, Bash, Python, Go etc. both for Linux user-space programs and system programs with thorough code reviewing skills. Strong in Linux fundamentals, various Linux distributions and packages, Linux upgrade mechanisms, building and deploying Linux images. - You should possess excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to challenging problems Ways to stand out from the crowd: - Contributor to industry standards like Open Compute, OpenBMC, IPMI, DMTF Standards, and open source. - Expertise in system software and platform security for x86/ARM based Rack/Blade server systems. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Software Architect - Deep Learning and HPC...
NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build communication libraries like NCCL, NVSHMEM, and UCX that are crucial for scaling Deep Learning and HPC. We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software. DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision? What you will be doing: - Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. - Design and implement new communication technologies to accelerate AI and HPC workloads. - Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects. - Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations. - Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs) What we need to see: - M.S./Ph.D. degree in CS/CE or equivalent experience. - 5+ years of relevant experience. - Excellent C/C++ programming and debugging skills. - Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC). - Deep understanding of operating systems, computer and system architecture. - Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads. - Strong experience with Linux. - Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: - Expertise in related technology and passion for what you do. Experience with CUDA programming and NVIDIA GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc. - Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications. - Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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, AI Cloud Services
Interested in being a part of a team that brings Artificial Intelligence (AI) to some of the biggest customers in the world? NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep Learning (DL), Data Analytics and other related topics on various Cloud Computing Platforms. As part of the NVIDIA Solutions Architecture team, you will be the first line of technical expertise between NVIDIA and our customers and will engage developers, researchers, and data scientists with some of NVIDIA's most strategic technology as well as work closely with business and engineering on product strategy. We are looking for a Solutions Architect to help drive end-to-end technology solutions incorporating NVIDIA's full stack of technologies for customers business needs. What you’ll be doing: - Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies. - Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms. - Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies. - Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions. - Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions. - Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc. What we need to see: - BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. - 4+ years of Solutions Engineering (or similar Sales Engineering roles) experience. - Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI - Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. - Effective time management and capable of balancing multiple tasks. - Ability to communicate ideas clearly through documents, presentation, etc. Ways to stand out from the crowd: - AWS, GCP, Azure or OCI Professional Solution Architect Certifications - Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.) - Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing. - Solid working knowledge of Python - System-level experience, specifically GPU-based systems We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations! 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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 Solution Architect - Telco AI & RAN
We are looking for a Solution Architect for the Telecommunications Industry team with domain specific knowledge and experience in AI and telecom operation. At NVIDIA, our Solution Architects are drawn from best-in-class engineers, architect, developers, and scientists who enjoy working with the latest technologies in data analytics and AI/ML/DL. NVIDIA platforms are broadly used across leading academic research centers, telecommunication and cable providers, industry software vendors and ecosystem start-ups. We need a passionate, hard-working, and creative individual to become a trusted technical who believes that accelerated computing, deep learning, advanced data science, and artificial intelligence is a new computing revolution and has the potential to transform the entire telecommunication domain. What you will be doing: - Document and demonstrate advancements in accelerated computing & AI applications through targeted trainings, sharing sessions, whitepapers, blogs, and wiki articles. - Realize our vision by introducing NVIDIA technology in telecommunication applications for management and operation, and for cloud and edge computing (NFV). - Develop a keen understanding of customer’s goals and needs, deliver high-value solutions, and support technical trials, proof-of-concepts and customer adoption. - Lead technical project aspects of complex deployments, including design-in opportunities and responding to RFP/RFI proposals for AI software integration, or edge / cloud / datacenter deployments. What we need to see: - MS or PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields - 5+ years of relevant experience in telecommunication industry, networking hardware, networking software system development, or systems engineering or equivalent experience. - Relevant experience in AI/ML/DL or 5G/6G network architecture in telecom. - Good understanding of telco, cloud, or enterprise IT/OT (management and workload orchestration on cloud-native platforms), and experience in cloud-native application deployment. - Strong analytical and problem-solving skills with an ability to switch between high-level systems view and low-level design. - Ability to take a technical leadership in a project. - Good interpersonal skills (written and oral) and intellectual honesty. Ways to stand out from the crowd: - Expertise in network digital twins or telco network simulations. - Experience with building simulations or digital twins. - Experience with NVIDIA AI platform and tools. - Strong time-management and organization skills. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. 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 HPC Cluster Administrator - Deep Learning F...
NVIDIA's Deep Learning Frameworks (DLFW) Infrastructure team is looking for a deeply technical Senior HPC Cluster Administrator to lead the design, deployment, and reliability of our large-scale GPU compute clusters. These systems run the most demanding deep learning training, inference, and high-performance computing workloads in the industry — from DGX/HGX platforms to ground-breaking Grace Blackwell systems. You will drive architectural decisions across compute, networking, and storage, and partner closely with software, research, and product teams to keep our infrastructure ahead of the workloads it supports. What you'll be doing: - Own the full lifecycle of GPU compute clusters — procurement, provisioning, configuration management, monitoring, and deprecation — across heterogeneous Linux environments (DGX, HGX, embedded systems) - Design and scale storage solutions (NFS, Lustre, WekaFS, or equivalent) with a clear roadmap for capacity and performance growth - Lead automation of infrastructure using modern IaC tools (Ansible, Terraform) and CI/CD pipelines (GitLab) - Manage and optimize job scheduling via Slurm, including fair-share policies, reservation management, and MIG/GPU partitioning strategies - Maintain and improve observability stacks (Prometheus, Grafana, DCGM) and drive proactive resolution of hardware and software incidents - Collaborate with ML engineers and software teams to tune cluster configuration for large-scale distributed training workloads - Evaluate and introduce new technologies — networking fabrics (InfiniBand, NVLink, EFA/RDMA), storage tiers, container runtimes — to improve performance and reliability - Mentor junior engineers and contribute to team-wide engineering standards What we need to see: - BS/MS in CS, EE, CE, or equivalent hands-on experience - 5+ years of experience deploying and administering large-scale HPC or ML training clusters - Deep expertise in Linux systems administration at scale - Strong scripting and automation skills in Python and/or bash - Hands-on experience with Slurm (scheduling, accounting, cgroup configuration) - Proficiency with configuration management and IaC (Ansible required; Terraform a plus) - Experience with container technologies (Docker, Apptainer/Singularity, Kubernetes) - Solid understanding of high-speed networking (InfiniBand, RoCE, RDMA, EFA) - Experience with distributed/parallel filesystems and storage architecture - Ability to own problems end-to-end and communicate clearly with engineering and management stakeholders Ways to stand out from the crowd: - Experience with NVIDIA GPU infrastructure tools (DCGM, nvidia-smi, MIG, NVSwitch diagnostics) - Familiarity with cluster management platforms (Colossus, Bright Cluster Manager, xCAT, or similar) - Experience supporting large-scale distributed deep learning workloads (PyTorch, JAX, Megatron) - Knowledge of BMC/IPMI/Redfish for out-of-band management and hardware lifecycle - Background in MLOps tooling or ML platform engineering Join our team of world-class engineers and be part of the groundbreaking work we do at NVIDIA. We are committed to encouraging a collaborative and inclusive environment, where every team member has the opportunity to thrive and make a significant impact! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4.
SOC Design Engineer, ASIC Tools and Methodology De...
NVIDIA is looking for an SOC Design Engineer with proven hardware design and methodology expertise to join our world-class team to help amplify human creativity and intelligence. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing! More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can seek, 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! What you'll be doing: - Develop and deploy in-house tools and workflows to support engineering business units across NVIDIA. - Take ownership of tools that verify common design blocks used in all products at NVIDIA. - Act as a "DevOps" engineer for automated RTL generation by developing new features and maintaining efficient operations for existing users. - Build new workflows and methodologies to ensure smooth integration into various IP development environments. What we need to see: - Bachelor’s or Master’s degree in Electrical Engineering or Computer Engineering (or equivalent experience). - 3+ years of proven experience preferred. - Solid understanding of fundamental digital design concepts with hands-on experience in Verilog. - Proficiency in scripting using modern Python and/or Perl. - Experience with Unix/Linux shell scripting and Makefiles. - Strong ability to collaborate with multi-functional teams and effectively communicate technical details. Ways to stand out from the crowd: - Prior experience in ASIC verification. - Knowledge of Clocks/Resets design and verification. - Exposure to CDC related design/verification flows. - Exposure to backend flows (Synthesis, Timing, etc). NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? If so, 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 July 26, 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, Agentic AI
NVIDIA’s Solutions Architect team is looking for a senior, highly hands-on Solutions Architect. The role involves developing, building, and deploying agentic AI systems with top Media & Entertainment (M&E) companies. Partnering with customers from studios, streaming and broadcast platforms, gaming, advertising, content creation, and the media supply chain, you will transform frontier large language model (LLM) capabilities into autonomous agents at production scale. These agents will redefine how content is created, personalized, distributed, and monetized. This is a builder’s role! You will spend time architecting and writing code. You will develop multi-agent systems, retrieval pipelines, and optimized inference stacks on NVIDIA’s full-stack accelerated computing platform. We want a creative, diligent, and curious engineer energized by agentic AI and ready to make significant change. If that’s you, join us! What you’ll be doing: - Architect, build, and ship end-to-end Agentic AI applications for M&E use cases—spanning multi-agent coordination, long-horizon reasoning, planning, and tool use—along with high-performance RAG pipelines over heterogeneous media assets (text, code, images, audio, video) to tackle real production challenges such as content generation, localization, metadata enrichment, personalization, recommendation, and ad operations. - Act as a hands-on technical advisor and main domain expert during the pre- and post-sale stages. Work closely with customer AI researchers, engineers, and developers to build, prototype, and deploy Agentic solutions on NVIDIA platforms. - Optimize inference performance and total cost of ownership using the full NVIDIA AI inference stack—and build hands-on proofs-of-concept, reference architectures, and reusable blueprints that serve as production templates and accelerate time-to-value. Post-training open sourced models to meet the M&E requirements. - Partner with NVIDIA engineering, product, and sales teams to secure build wins, translate customer feedback into actionable product and roadmap insights, and scale global expertise through technical collateral, workshops, and developer communities. What we need to see: - BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML, or a related field (or equivalent experience) - 8+ years as an ML/Software Engineer or Solutions Architect writing production-level code in Python and/or C/C++ in Linux environments. - Validated experience building sophisticated agentic and multi-agent AI systems using orchestration frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK —including tool-using and routing agents. Solid understanding of MCP and A2A is vital. - Strong background in PyTorch and distributed GPU (post-)training. Able to quickly prototype and build scalable GPU-accelerated architectures. Applies test-time compute, reinforcement learning, inference optimization, and post-training. Deploys workloads at scale on public cloud (AWS, GCP, Azure, OCI) or on-premise. - Strong grasp of the M&E industry paired with excellent communication and presentation skills. Able to explain sophisticated ideas to both technical and non-technical groups. Works well with executives, partners, and engineering teams. Leads projects from start to finish in a fast-paced, multitasking setting. Ways to stand out from the crowd: - Practical experience working directly with the NVIDIA agentic AI software stack—NVIDIA NIM, NeMo Framework, NeMo Retriever, NeMo Agent Toolkit, Dynamo, Triton Inference Server, TensorRT-LLM, and AI Blueprints. - Expertise building LLM evaluation harnesses, benchmarking systems, observability platforms, and safety guardrails, plus fine-tuning and optimizing reasoning-focused LLMs and SLMs through timely engineering and quantization. - Experience developing production-grade deployment patterns using Kubernetes/OpenShift, CI/CD automation, and secure cloud-native infrastructure, with familiarity with modern agent architectures and emerging communication protocols such as MCP (Model Context Protocol) or Google A2A. - Proven experience handling NVIDIA GPU architectures, CUDA-X libraries (cuBLAS, cuDNN, RAPIDS), and HPC technologies (NCCL, InfiniBand, MPI, NVLink), along with familiarity in large-scale data processing and distributed/parallel computing frameworks (e.g., Spark, Dask). - A strong public profile (blogs, GitHub, conference talks) that demonstrates your expertise and passion for agentic AI. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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 Design Engineer, Coherent High Speed Interc...
NVIDIA is looking for a Senior Design Engineer for our Coherent High Speed Interconnect team! For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has grown to encompass video games, movie production, product design, medical diagnosis, and scientific research! Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from substantial amounts of data - has shown to be deeply effective at solving the most sophisticated problems in everyday life. What You'll be Doing: - You will be working on architecture and design of our state-of-the-art high speed coherent interconnects (NVLINK-C2C) for our mobile SoCs and GPUs. - Collaborate with architects, external partners, software engineers, and circuit designers to deliver a class leading high speed coherent interconnect. - The NVLINK-C2C enables the creation of a new class of integrated products with NVIDIA partners, built via chiplets, allowing NVIDIA GPUs, DPUs, and CPUs to be coherently interconnected with custom silicon. - To learn more about NVIDIA's ultra-fast chip interconnect technology visit: https://www.nvidia.com/en-us/data-center/nvlink-c2c/ - 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. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. What We Need to See: - BS or equivalent experience in Electrical Engineering or Computer Engineer or related degree required, advanced degrees (MS, PhD) a plus. - 8+ years or relevant design experience - Knowledge of industry standard interconnect protocols like PCIE, CXL, AXI, CHI will be useful. - Understanding or experience with Link layer stacks including Data link layer and Physical layer - Experience with physical layer of interconnects such as Memory (DDR, LPDDR etc..) , PCIE , SerDes - Experience and knowledge in architecture, RTL design, performance analysis and power optimization. - Strong working knowledge of Verilog or System Verilog. - Good communication skills and interpersonal skills are required. A history of mentoring junior engineers and interns a huge plus. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior ASIC Design Engineer - GPU
We are now looking for a Senior ASIC Engineer! NVIDIA is searching for an outstanding ASIC Engineer to build and implement an MMU for the world’s top SoCs and GPUs. This position provides an opportunity to influence a dynamic technology company’s products, from consumer graphics to autonomous vehicles. Positioned at the leading edge of artificial intelligence and deep learning, NVIDIA drives innovation in modern computing. Our team of remarkable professionals works worldwide, aiming to push the boundaries of today’s possibilities and shape the future computing platform. As a member of the MMU team, you will contribute to the development and implementation of a state-of-the-art memory management system with complex build requirements. Our approach delivers the performance required by autonomous vehicles, photo-realistic games and applications, as well as the world’s leading supercomputers! What you’ll be doing: - As a Senior Design Engineer at NVIDIA, you will be responsible for the development and micro-architecture of a high-performance MMU for a GPU using advanced verification methodologies. - Contribute to architecture decisions. - Mentor other engineers on the team. - Collaborate with architects, designers, and software engineers across sites to accomplish your goals. What we need to see: - Bachelors or Masters Degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience. - 5+ years of relevant work or research experience. - Experience crafting memory subsystem units with properties such as memory coherency and arbitration policies. - Proficiency in Verilog, build and verification tools (VCS or equivalent simulation tools, debug tools like Verdi, Synopsys). - A solid understanding of Object-Oriented Programming with C++ and/or SystemVerilog. - Strong communication skills are required. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our GPU ASIC 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 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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.
Systems Quality and Reliability Engineer - LPU
We are seeking Systems Quality and Reliability Engineer to join our LPU team! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence! What you'll be doing: You will own, build, and manage the RMA and FA debug and root-cause analysis for existing and new NVIDIA AI/ML products. You will conduct tests, and root-cause analysis. Other responsibilities include: - Conduct and lead debug and root-cause analysis of field RMAs. Collaborate with Systems Engineers, Hardware engineers, Software engineers, and operations engineers as required - Scale root cause FA capabilities within your organization - Create FA result reports that align with standard 8D or similar process - Analyze RMA, FA and repair data. Identify trends and raise quality alerts when necessary. Drive resolution, containment, and mitigation plans for such quality alerts - Oversee hardware quality performance, monitoring field quality data and associated metrics including RMA rates, MTBF, and Reliability Ratio - Manage operational perf of FA at CMs, ensuring partner achieve key perf indicators including FA cycle times, fault duplication rates and fault isolation rates - Oversee the setup of new products into Failure Analysis operations What we need to see: - BS/MS in EE, Physics or a related degree (or equivalent experience) - 5+ yrs of hands on systems test and/or validation engineering experience - Proven hands-on experience in systems quality and reliability Engineer - Competence using lab equipment such as oscilloscopes, logic analyzers, power analyzers etc. - Experience with enabling reliability tests such as HTOL and quality tests such as Burn in - Ideal candidate will have working knowledge of FA techniques and tools such as FIB, SEM, TDR, VNA and CSAM - Strong knowledge of Fault isolation techniques such as OBIRCH, DLS/LADA, LVP and LVI - Proficiency with high speed interfaces (SerDes, PCIe, DDR) - Proficiency in Python, PERL, C++, or other languages on UNIX /Linux - Excellent knowledge of PCB card and system level test and debug as well as be able to manage factory floor partners (CMs) for RMA/FA activities With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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 System Software Engineer - Autonomous Vehic...
NVIDIA Solutions Engineering team is searching for engineers to help develop and bring NVIDIA’s autonomous vehicle platform to the world. You will work on state of the art technologies alongside experts in Deep Learning, Computer Vision, and vehicle control for NVIDIA’s next-generation automotive products. These products make use of the high-definition maps created by multiple industry leading mapping companies from all over the world. At NVIDIA, we seek to build an environment where phenomenal people can do their best work. We are looking for a System Software Engineer with expertise in embedded systems, good grasp of operating systems principles, and ability to engage with developers and partners on software design and solutions. The ideal candidate will work closely work with external and internal software groups to design, develop, and implement software and systems that will pull together diverse SW components for automotive platforms. What you will be doing : - Collaborate with software engineers, hardware and architecture teams to design, develop, integrate, validate, and optimize software on NVIDIA's DRIVE self-driving platform - Regularly engage with customers directly to provide technical support and productize NVIDIA DRIVE platforms - Be part of an internationally distributed team with locations in US, Europe, APAC, and India - Be an internal champion among the NVIDIA technical community to productize software solutions - Craft solutions to system software, OS and application software challenges involving DRIVE products What we need to see : - BS or equivalent experience in Computer Science, Computer Engineering, or closely related field - 4+ years of experience on system software and/or embedded systems - Solid understanding of computer architecture and operating system fundamentals - Experienced programmer in C or C++ with strong debugging skills - Worked with source control systems (git, Perforce) - Worked on developing applications and/or system SW drivers for HW accelerators in BSP & HAL - Ability to adapt to fast paced development lifecycles and cross-functional organizations - Ease of adapting to new technologies and platforms Ways to stand out from the crowd : Expertise in one or more of these areas: - Background in platform bring up and/or BSP software - Experience with QNX - Experience with ARM processors - Familiarity with Automotive software development process (CMMI or ASPICE) - Exposure to safety standards like ISO26262 NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work: to amplify human creativity and intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you are creative, autonomous, and love a challenge, we would love to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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 Verification Engineer, Coherent High S...
We are now looking for a Senior ASIC Verification Engineer for our Coherent High Speed Interconnect team! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has grown to encompass video games, movie production, product design, medical diagnosis, and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from meaningful amounts of data - has shown to be deeply effective at solving the most sophisticated problems in everyday life. As a ASIC Verification Engineer at NVIDIA, you will verify the design and implementation of our innovative high speed coherent interconnects for our mobile SoCs and GPUs. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. To learn more about NVIDIA's ultra-fast chip interconnect technology visit: https://www.nvidia.com/en-us/data-center/nvlink-c2c/ What you'll be doing: - In this position, you will be responsible for verification of high-speed coherent interconnect design, architecture and golden models. - You will be responsible for micro-architecture using sophisticated verification methodologies. - As a member of our verification team, you'll understand the design & implementation, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), complete test/coverage plans, and verify the correctness of the design. This role will collaborate with architects, designers, emulation, and silicon verification teams to accomplish your tasks. What we need to see: - Bachelors or Master’s Degree (or equivalent experience) - 3+ years of relevant verification experience. - Experience in architecting test bench environments for unit level verification. - Background in verification using random stimulus along with functional coverage and assertion-based verification methodologies. - Prior Design or Verification experience of Coherent high-speed interconnects. - Knowledge of industry standard interconnect protocols like PCIE, CXL, CHI will be useful. - Strong background developing TB's from scratch using SV and UVM methodology is desired. - C++ programming language experience, scripting ability and an expertise in System Verilog. - Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB). - Strong debugging and analytical skills. - Experienced communication and interpersonal skills are required. A history of mentoring junior engineers and interns a huge plus. NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and dedicated people in the world working for 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 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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 - LPU
We are now looking for a Senior Deep Learning Performance Architect! NVIDIA seeks a Senior DL Performance Architect to join our group of pioneers who enjoy pushing AI Inference performance boundaries. Our team focuses on ambitious hardware-software co-design to speed AI Inference workloads. This role gives an outstanding opportunity to develop world-class performance strategies, guide future GPU architecture decisions, and lead AI innovation. If you are passionate about AI efficiency Pareto curves, have a proven record of modeling LLM performance and architecting AI systems, and enjoy optimizing every cycle, this role may be perfect for you! What you'll be doing: - Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency - Construct, investigate, and test popular deep learning algorithms and applications - Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications - Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture - Collaborate across the company to guide the direction of AI, working with software, research, and product teams What we need to see: - A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience - Strong mathematical foundation in machine learning and deep learning - Expert programming skills in C, C++, and/or Python - Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) stack - Strong knowledge and coursework in computer architecture Ways to stand out from the crowd: - Background with systems-level performance modeling, profiling, and analysis - Experience in characterizing and modeling system-level performance, accomplishing comparison studies, and documenting and publishing results - Background in improving AI Inference workloads by developing CUDA kernels or compilers for custom ASIC hardware LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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.
Engineering Manager, DRIVE OS Communication Infras...
NVIDIA is a leading artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming and visualization. We give automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Our unified computing architecture enables training deep neural networks in the data center, and then seamlessly runs them on NVIDIA DRIVE Platforms inside the vehicle. The NvSci team within NVIDIA DRIVE Software plays a critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous vehicles. NvStreams is a high-performance inter-process and inter-chip communication library within NVIDIA DRIVE OS, providing the sophisticated, high-integrity data and sensor processing infrastructure that forms a core element of the NVIDIA DRIVE software platform. It enables developers to build software frameworks and distributed applications that fully leverage NVIDIA hardware acceleration, seamlessly port across NVIDIA-powered platforms — from data center to vehicle — and scale effortlessly from simple deployments to complex, multi-system architectures, all while maintaining strong isolation guarantees and real-time monitoring across the entire processing pipeline. We are seeking a seasoned Engineering Manager to lead our rapidly growing NvStreams team. If you are passionate about cutting-edge technology, committed to shaping the future of transportation, and driven by a strong focus on software quality, we invite you to join us and make a lasting impact. What you’ll be doing: - Lead and grow a team of highly skilled engineers. - Drive development of NvSci technology for next generation automotive and other Embedded applications. - Apply and invent processes to ensure high software quality and reliable schedules - Directly collaborate with other groups to align technology development with NVIDIA goals What we need to see: - BS or MS degree in EE/CS/CE or equivalent experience - 8+ overall years of software development and 3+ years of management experience - Effective written and verbal communication regardless of audience or problem complexity - Organizational skills to lead projects and drive software development with a matrix team of globally distributed engineers - Experience with mentorship and developing engineering staff - Embedded Software development background Ways to stand out from the crowd: - Previous Agile experience, especially with distributed teams and matrix projects - Prior leadership of rapidly growing teams - Experience with industrial quality standards: ASPICE, ISO 26262, ISO 21434 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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 R&D Engineer, VLSI Physical Design - New...
NVIDIA's success builds on a foundation of industry leading hardware. We achieve distinction through extensive design optimization, including combining 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 specialized algorithms for VLSI design. We are seeking a R&D Software Engineer with proven experience in multiple areas of VLSI Physical Design Algorithms (sizing, buffering, CTS, legalization, incremental place and route etc.). Understanding both software and hardware aspects is the key. Creativity and self-drive to explore and perfect fast, high-capacity software is required. If you like to work across many technical areas and see your successes directly realized in the world's best AI hardware, it does not get any better than this! 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. What you’ll be doing: - Invent new optimization engines that fuse traditionally independent engines (e.g., co-optimization of legalization and sizing) with the objective of increasing chip frequency while minimizing power consumption across a suite of internal optimization tools. - Improve algorithms (in C++) for gate-level sizing, buffering, useful clock skew, cell legalization, power minimization, ECO routing, and incremental parasitic extraction. - We 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: - Masters or PhD in Electrical Engineer or Computer Science (or equivalent experience). - Experience with VLSI algorithms development using C++. - Understanding of VLSI timing optimization and related concepts, including cell libraries, interconnect models, crosstalk, glitches, IR drop, timing constraints, corners, congestion, etc. - Familiarity with design implementation tools such as ICC2, Innovus, PrimeTime, Tempus, and StarRC and typical design flows written in Perl, Tcl, and Python. Ways to stand out from the crowd: - C++14 or newer experience, such as lambdas and concurrency. - Understanding of how multiple Physical Design steps interact and how they can potentially be fused together to form hybrid engines that result in better PPA. - Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc. - Highly driven to craft software towards improving PPA with a dedication to continuous improvement. - Experience with reinforcement learning, GNNs (Graph Neural Networks), and other relevant machine learning frameworks, especially as applied to physical design. NVIDIA is widely considered to be one of the technology world’s most desirable employers, and due to outstanding growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team driving 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 July 26, 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, Public Sector - New...
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! NVIDIA is hiring passionate, world-class computer scientists and engineers to work in its Public Sector Developer Technology (Devtech) team! In this role, you will research and develop techniques to GPU-accelerate leading applications in fields targeting applications in the federal ecosystem. You will be performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures. What you will 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 reference code development, direct contribution to the full software stack including libraries, applications, and high productivity software environments (e.g. Python). - Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of architectures, software, and programming models, by investigating the impact on application performance and developer productivity. - Occasional travel from time to time for conferences and on-site visits with developers. What we need to see: - Pursuing or recently completed a BS, MS, or PhD degree or equivalent experience in an engineering or computer science related discipline. - Programming fluency in C/C++ and/or Fortran 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++ and OpenACC. Ways to stand out from the crowd: - Domain expertise in data and graph analytics, signal processing, telecommunications, geographic information systems, machine learning, or deep learning. - Experience working within the Federal Government and the ability to hold a US security clearance 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 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 July 26, 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 R&D Engineer, VLSI Physical Design
NVIDIA's success builds on a foundation of industry leading hardware. We achieve distinction through extensive design optimization, including combining 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 specialized algorithms for VLSI design. We are seeking a Senior R&D Software Engineer with proven experience in multiple areas of VLSI Physical Design Algorithms (sizing, buffering, CTS, legalization, incremental place and route etc.). Understanding both software and hardware aspects is the key. Creativity and self-drive to explore and perfect fast, high-capacity software is required. If you like to work across many technical areas and see your successes directly realized in the world's best AI hardware, it does not get any better than this! 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. What you’ll be doing: - Invent new optimization engines that fuse traditionally independent engines (e.g., co-optimization of legalization and sizing) with the objective of increasing chip frequency while minimizing power consumption across a suite of internal optimization tools. These tools already outperform the industry's alternatives in high capacity timing closure and will advance even further with your contributions. - Improve algorithms (in C++) for gate-level sizing, buffering, useful clock skew, cell legalization, power minimization, ECO routing, and incremental parasitic extraction. - As with any software engineering team, we do write a lot of code, but this is broader than a typical CAD or EDA role. Instead, we 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: - BS, MS, PhD or equivalent experience in Electrical Engineering or Computer Science - 6+ years in VLSI algorithms development using C++ - Strong understanding of VLSI timing optimization and related concepts, including cell libraries, interconnect models, crosstalk, glitches, IR drop, timing constraints, corners, congestion, etc. - Familiarity with design implementation tools such as ICC2, Innovus, PrimeTime, Tempus, and StarRC and typical design flows written in Perl, Tcl, and Python - Strong communication and interpersonal skills Ways to stand out from the crowd: - C++14 or newer experience, such as lambdas and concurrency - Detailed understanding of how multiple Physical Design steps interact and how they can potentially be fused together to form hybrid engines that result in better PPA - Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc. - Highly driven to craft outstanding software towards improving PPA with a dedication to continuous improvement - Experience with reinforcement learning, GNNs (Graph Neural Networks), and other relevant machine learning frameworks, especially as applied to physical design NVIDIA is widely considered to be one of the technology world’s most desirable employers, and due to outstanding growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team driving the latest in GPU and AI technology? If so, 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 July 26, 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 Program Manager, Cloud Infrastruc...
NVIDIA’s deep learning platforms have made a major impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We are seeking an experienced and talented technical program manager for NVIDIA's DGX Cloud. We need passionate, hard-working, and creative people to help us deliver value to DGX Cloud customers. What you'll be doing: As a DGX Cloud Technical Program Manager, you'll be a key partner to our Engineering, Infrastructure, and Software teams, driving critical cloud infrastructure programs across DGX Cloud. You'll play a pivotal role in maturing how we bring up AI capacity — strengthening process resiliency, driving automation into our PLC and acceptance workflows, and enabling early access to upcoming NVIDIA platforms. This is a dynamic, fast-paced environment where TPMs are motivated to apply fungible abilities to a range of high-impact programs. - Lead the end-to-end execution of NPI programs across engineering, operations, and cloud service provider (CSP) partners - Lead the DGX Cloud NPI Early Access Program — Enabling processes that leading to engineering teams across DGXC getting early access to critical Nvidia systems (i.e. VR / VR Ultra) in order to develop critical software and automation. - Drive PLC process for capacity bring-up into system-based, automated solutions — taking a baseline PLC type process and driving iterative improvements and system approaches to codifying in tooling including jira. - Coordinate site readiness and infrastructure bring-up activities, including networking, inventory, corp IT, and security integration - Partner with SW stack teams to track development, testing, and integration across product phases - Define and implement acceptance testing, validation workflows, and readiness gates for new platforms - Work closely with stakeholders to develop scalable NPI processes, tools, and dashboards - Drive automation efforts for break/fix workflows, telemetry enablement, and system health validation - Facilitate regular communication with leadership, engineering, CSP teams, and Colo partners and cultivate a culture of continuous improvement and process innovation What we need to see: - 12+ years of technical program management experience, with a focus on infrastructure, hardware/software integration, or cloud platforms - Success in leading NPI or large cross-functional programs in fast-paced environments - Experience working with cloud service providers, large-scale data center deployments, or enterprise-scale infrastructure programs - Strong understanding of GPU compute, Kubernetes, CI/CD pipelines, and cloud-native services - Demonstrated experience building or improving product development processes and team workflows - Skilled in tools such as JIRA, Confluence, dashboards, and reporting tools - Ability to influence cross-functional teams, including HW, SW, QA, Site Ops, and Product - Outstanding communication and leadership skills, capable of collaborating effectively with senior collaborators - BS/MS in CS, EE, related technical field, or equivalent experience Ways to stand out from the crowd: - Experience in launching cloud infrastructure products or large-scale hardware-software systems - Previous involvement in New Product Introduction (NPI), including platform bring-up and validation - Familiarity with AI infrastructure, or GPU-based cloud platforms - Experience with process automation, observability (telemetry/metrics), and health check frameworks - Passion for building repeatable systems, tools, and cross-org efficiency 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/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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.
Technical Program Manager, Cloud Infrastructure
NVIDIA's deep learning platforms are at the forefront of innovation, profoundly impacting various fields and widely adopted by leading academic institutions, startups, and major Internet companies globally. We're seeking an accomplished and highly skilled Technical Program Manager (TPM) to join our NVIDIA DGX Cloud team. This is an exciting opportunity for a passionate, results-oriented, and creative individual to deliver exceptional value to our DGX Cloud customers. We are specifically looking for a TPM with extensive background in cloud infrastructure bring-up with external partners. You will play a key role in collaborating with CSPs, emerging cloud providers and engineering teams internally to help build AI capacity and infrastructure across the globe What you'll be doing: As a DGX Cloud Technical Program Manager, you'll be a key partner to our Engineering, Infrastructure, Software teams and their leadership, driving critical programs related to AI capacity enablement and management. You'll play a pivotal role in developing and maturing foundational capabilities and processes for DGX Cloud, spanning critical areas such as cluster/capacity bring-up including CPU, storage, networking and compute requirements to support GPUs. This is a dynamic, fast-paced environment where TPMs are encouraged to apply fungible abilities to a range of high-impact programs within the DGX Cloud ecosystem. Your responsibilities will include: - Working in close coordination with storage engineering and network engineering teams to define and communicate requirements to CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Providers). Drive alignment and a POR for capacity blocks based on workload needs. - Drive early engagement with CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Providers) to understand their managed storage, network solutions and influence alignment with NVIDIA Cloud roadmap - Gathering technical requirements, developing comprehensive roadmaps, establishing clear milestones, and ensuring adherence to our Product Lifecycle (PLC) process. - Managing ongoing capacity operations and the engineering engagement with CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Provider) partners, collaborating closely with engineering leads. Focus on availability, maintenance and other critical performance indicators. - Partner closely within NVIDIA to understand workload requirements and related hardware and infrastructure needs. This includes speeds and feeds to optimize infrastructure readiness with cloud vendors and NVIDIA Cloud Providers. - Leveraging Jira and other program management platforms to instill rigor and structure in the management of engineering deliverables. - Identifying and driving opportunities to onboard the adoption of third-party and in-house cloud infrastructure solutions for deployments, support, security, compliance and observability across DGX Cloud - Establishing key performance indicators (KPIs) and quantitatively demonstrating the value and impact delivered by your programs. - Proactively identifying, resolving, and mitigating risks and issues that could affect scope, schedule, and quality across all program aspects. - Encouraging a culture of continuous improvement, consistently seeing opportunities for process improvements within our cloud infrastructure operations. What we need to see: - 10+ years of technical program management experience. You have driven the planning and execution of large-scale cloud infrastructure programs with outside organizations. You focus strongly on software engineering projects within a matrixed organization. - Extensive hands-on experience in cloud infrastructure, preferably gained from working at a major Cloud Service Provider (CSP). - Domain knowledge in the bring-up and end to end operations of compute, storage and GPU (including common failure points at the HW and SW levels). - Expert-level proficiency with Jira, Smartsheet, or similar program management tools, with the ability to expertly guide engineering teams on their use of the tools. - Outstanding strategic and tactical thinking abilities, coupled with a strong capacity to build consensus and drive program success - Comfort and efficiency in growing within ambiguous environments. - Possess excellent communication and technical presentation skills, particularly for executive audiences. - BS or MS in Electrical Engineering or Computer Science, or equivalent experience. Ways to stand out from the crowd: - In depth knowledge of NVIDIA GPU products, including deployment and bring-up - Working knowledge of various cloud technologies (Kubernetes, API integration, Terraform, etc) - A highly enthusiastic, energetic, responsive, and passionate individual with a keen eye for identifying process improvement opportunities. - Significant experience with productivity tools and process automation is a major plus. - Deep familiarity with cloud-native product / services environments and familiarity with AI, ML infrastructure, and cloud/services NVIDIA is widely considered to be one of the technology world’s most desirable employers! We offer attractive compensation and an extensive benefits package. While planning your future, explore what we provide for you and your loved ones at www.nvidiabenefits.com/ 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! 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 - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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 Program Manager, Cloud Infrastruc...
NVIDIA's deep learning platforms are at the forefront of innovation, profoundly impacting various fields and widely adopted by leading academic institutions, startups, and major Internet companies globally. We're seeking an accomplished and highly skilled Technical Program Manager (TPM) to join our NVIDIA DGX Cloud team. This is a great opportunity for a passionate, motivated, and creative individual to deliver outstanding value to our DGX Cloud customers. We are specifically looking for a TPM with extensive experience in CSP/NCP cloud environments, on-prem infrastructure bring-up, and hardware automation. What you'll be doing: As an Infrastructure Technical Program Manager, you'll be a key partner to our external NCP partners as well as key internal teams (Software Engineering, Production Engineering/SRE, and Data Center Operations) and their leadership, driving critical programs related to on-prem infrastructure engineering, bare-metal bring-up, and automation. You'll play a pivotal role in developing and maturing foundational capabilities and processes, spanning critical areas such as hardware validation, remote fleet bootstrapping, operational workflows, and cluster/capacity bring-up. This is a dynamic, fast-paced environment where TPMs are motivated to apply versatile abilities to a range of high-impact programs across the infrastructure lifecycle. - Fleet Bring-Up, Automation: Coordinate the end-to-end remote bootstrapping, active bring-up, and validation of large server fleets to take clusters from physical rack-and-stack to a customer-ready state. Drive the adoption of automation tooling for fleet maintenance, node security, and burn-in, while establishing formalized workflows to rapidly triage and resolve day-one deployment issues. - NVIDIA Software Integration & Capacity Operations: Partner closely with internal NVIDIA SW teams to integrate and deploy DSX and other core software stacks within on-prem environments. Lead day-to-day capacity operations with a focus on availability, maintenance, and multi-tiered infrastructure workflows. This role includes the potential to scale scope by driving end-to-end capacity onboarding and operations with NCP partners as part of internal DGX Cloud (DGXC) capacity. - Cross-Team Roadmap Interception: Work across diverse NVIDIA engineering teams to understand, map, and intercept incoming technology roadmaps against physical data center readiness timelines. - Program Governance: Gather detailed requirements, build comprehensive roadmaps, and manage risks under the Product Lifecycle (PLC) framework for bare-metal capacity deployment. Leverage Jira and program management tools to instill structured execution across engineering and data center work. - Metrics, Visibility & Communication: Establish clear critical metrics to quantitatively track program velocity, infrastructure availability, and overall cluster health. Develop robust communication strategies—including turning weekly operations reviews into highly collaborative sessions. What we need to see: - 10+ years of technical program management experience, specifically driving the planning and execution of cloud infrastructure programs, with a strong focus on hardware/software integration across many engineering teams. - Infrastructure Expertise: Extensive hands-on experience in cloud or on-prem enterprise infrastructure, data center bring-up, bare-metal deployments, and a deep understanding of hardware infrastructure. - Tooling Proficiency: Expert-level proficiency with Jira, Smartsheet, or similar program management tools, with the ability to confidently design ticket queues and guide engineering teams within an Agile/Scrum framework. - Strategic Leadership: Exceptional strategic and tactical thinking abilities, coupled with a strong capacity to build consensus, establish operational workflows, and drive program success through uncertainty. - Communication Skills: Outstanding communication, collaboration, and technical presentation skills, with a proven ability to increase meeting engagement, gather feedback, and align senior multi-functional collaborators. - BS or MS in Electrical Engineering or Computer Science, or equivalent experience. Ways to stand out from the crowd: - In-depth knowledge of NVIDIA GPU products, cluster deployment, validation testing, and high-performance computing (HPC) infrastructure bring-up. Direct experience managing dependencies between pioneering AI software stacks and foundational physical infrastructure. - Experience working with accelerated deployment schedules (e.g., rapid 30-day data center rollouts) and asset-backed operational models. - Prior background establishing automated server benchmarking, burn-in execution, and infrastructure health validation workflows. - Familiarity with cloud-native architectures, managed-Kubernetes platform layers, and distributed systems. - Significant experience with productivity tools, process automation, and establishing standard operating guidelines across many technical domains. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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.
Network Solutions Architect - NVIDIA AI Cloud Part...
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, hard-working, and self-motivated, we want to hear from you! We are looking for a Network Solutions Architect to join the NVIDIA team focused on supporting NVIDIA AI Cloud Partners as they build the next-generation GPU infrastructure for their customers. As a part of the NVIDIA solutions architecture team dedicated to NVIDIA AI Cloud Partners, you will be driving end-to-end technology solution integration with some of NVIDIA's most strategic customers as well as offering recommendations for business and engineering teams based on customer feedback on product strategy. If you have a real passion for technology, and you are interested in a role that you can make a difference in and contribute at all different levels, this may be a phenomenal position for you. What you'll be doing: - Define reference architectures - blueprint for end-to-end solutions integrating GPU and networking into a data-center solution - Supporting account teams identifying new business opportunities for NVIDIA Networking products and technology solutions in cloud, telco, enterprises, artificial intelligence, and Large-Language-Models (LLM) applications and works closely with the Sales teams and Product Marketing to make our customers dreams a reality. - Technical account management for NVIDIA Networking product key accounts - Conducting regular customer meetings for product updates and introductions to new technology solutions and delivering product roadmap presentations to customers and technology partners - Building and delivering custom-tailored product demonstrations and POCs for solutions that address critical business needs for our customers - Technical project management of complex networking deployments and design-in opportunities - Analyzing and troubleshooting performance issues with new technology at the customer site and preparing and delivering technical training presentations - Provide constructive feedback to engineering regarding product requirements, evolution, including submitting Requests for Enhancements supported with business evidence What we need to see: - This role is for an individual with the motivation and skills to drive the technical pre-sales process. The ideal candidate has 5+ years of Solution Architect (or similar Sales Engineering roles) experience - A Bachelor’s degree or equivalent experience in computer science, electrical engineering, computer engineering - Datacenter engineering, networking, or cloud application knowledge. Deep networking experience, including network topologies considerations, solid knowledge of L2/L3 Ethernet or other networking protocols - Understanding of system-level issues, including Operating Systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture - Technical presentation skills and confidence in developing Proofs-of-Concept - Must have strong sense of achievement and customer focused attitude - Effective time management and capable of balancing multiple demands with competing deadlines - Travel required as needed (30% of the working hours) Ways to stand out from the crowd: - Low latency / high BW interconnect such as InfiniBand / Ethernet AI - Ability to handle and resolve critical customer issues/problems resulting in a high level of customer satisfaction - Practical experience with K8s and Linux Virtualization technologies (KVM) - Experience with GPU accelerated systems administration and SW and distributed/parallel computing - Practical DevOps and or Agentic AI experience 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 Developer Technology Engineer - Edge Agenti...
At NVIDIA, 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. As a Developer Technology Engineer, you will be at the forefront of innovation, working with leading industry partners and pioneering open-source projects to enable professional agentic AI workflows at the edge powered by NVIDIAs RTX and DGX platforms. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the evolving landscape of enterprise and consumer agentic AI. What you'll be doing: - Work closely across internal engineering and product teams as well as external app developers and enterprise ISVs on solving local end-to-end agentic AI GPU deployment challenges on NVIDIA RTX & DGX. - Apply powerful profiling and debugging tools for analyzing most demanding accelerated end-to-end agentic AI workflows to detect insufficient system utilization resulting in suboptimal runtime performance. - Conduct hands-on trainings, develop sample code and host presentations to give good guidance on efficient end-to-end agentic AI deployment targeting optimal runtime performance. - Improve LLM & GenAI user experience by working on feature and performance enhancements of OSS software, including but not limited to projects like GGML, Llama.cpp, Ollama, vLLM, ONNX Runtime. - Collaborate with GPU driver and architecture teams as well as NVIDIA research to influence next generation GPU features by providing real-world workflows and giving feedback on partner and customer needs. - Providing technical leadership and mentorship to junior engineers, encouraging an inclusive and high-performing team environment. What we need to see: - A proven track record 5+ years of professional experience in local GPU deployment, profiling and optimization. - A Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field. - Strong proficiency in C/C++, Python, software design, programming techniques.. - Familiarity with and development experience on Windows and Linux. - Experience with CUDA and NVIDIA's Nsight GPU profiling and debugging suite. - Some travel is required for conferences and for on-site visits with external partners. - Strong problem-solving skills and the ability to work both independently and collaboratively in a fast-paced environment. - Excellent interpersonal and communication skills and a passion for keeping track with the latest advancements in AI technology. Ways to stand out from the crowd: - Experience with GPU-accelerated AI inference driven by NVIDIA APIs and SDKs, specifically TensorRT-RTX, cuDNN, NVIDIA Model Optimizer. - Expertise with professional agentic AI use cases, i.e., digital content creation and productivity workflows. - Experience working with open-source LLM and GenAI software. - Detailed knowledge of the latest generation GPU architectures. - Experience with AI deployment on NPUs and ARM architectures. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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 Staff Software Engineer - AI Agent Platform
We are looking for a Sr. Engineer to design, build, and scale the infrastructure powering NVIDIA’s AI agent ecosystem. You will work at the intersection of distributed systems, developer platforms, and agentic AI — building the foundational services that enable teams across the company to develop, deploy, orchestrate, and operate autonomous AI agents at production scale. What you will be doing: - Build and develop platform services that own the full agent lifecycle from registration through deployment, execution, and teardown - Architect Kubernetes-based execution environments with pod lifecycle management, namespace isolation, persistent storage, and identity propagation - Develop and maintain automated CI/CD pipelines using GitLab CI and ArgoCD, including reusable pipeline templates and deployment blueprints that standardize how agents are built across teams - Build framework-agnostic infrastructure supporting multiple agent SDKs (Claude Code, OpenAI Codex, LangGraph), with hands-on experience using harnesses, lifecycle hooks, skills configurability, observability (OTEL), and memory services - Build and operate Kafka-based message pipelines and real-time event streaming using Redis PubSub and SSE - Develop data ingestion pipelines, access interfaces, and storage layers that power AI agent knowledge and context - Implement session management for state persistence, conversation history, and agent recovery across sessions - Develop multi-layer auth using OAuth 2.0, JWT validation, token exchange, and gateway integration, and manage secrets lifecycle with Vault (provisioning, rotation, container injection) - Partner with security teams on compliance, access controls, and approval workflows for agent operations What we need to see: - Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience), with 12+ years in software engineering — ideally in platform engineering, infrastructure, or developer tools - Experience building and scaling AI agents in production using frameworks like Claude Code, Codex, or LangGraph - Deep Kubernetes expertise including pod orchestration, persistent storage, RBAC, and multi-cluster management - Strong Python skills with production API experience using FastAPI, Flask, or similar async frameworks - Proven track record designing distributed systems with Kafka, Redis, and MongoDB or PostgreSQL - Expertise building and managing robust CI/CD pipelines using GitLab CI and ArgoCD for continuous delivery to Kubernetes - Experience designing AI data platform components (ingestion pipelines, vector stores, retrieval APIs, data preprocessing workflows) and building developer-facing platform APIs consumed by multiple engineering teams - Solid grasp of auth and identity: OAuth 2.0, JWT, token exchange, and secrets management with Vault - History of leading sophisticated technical projects such as migrations or greenfield platform builds, with strong interpersonal skills to drive alignment across teams and write clear design documents Ways to stand out from the crowd: - Experience building or operating AI agent platforms or agentic workflow systems, with hands-on expertise in agent protocols and frameworks like MCP, A2A, LangChain, or LangGraph - Hands-on experience with RAG architectures, embedding pipelines, and vector databases (Milvus, Pinecone, or Weaviate) - Full-stack skills with React or Vue for building developer portals and dashboards - Contributions to open-source infrastructure or platform tooling Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 391,000 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 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, Continuous Bring Up Ne...
NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect for the Continuous Bring Up (CBU) role. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you'll be doing: - Primary responsibilities of the Continuous Bring Up (CBU) role will include stabilizing the NVIDIA AI Factory clusters after it is handed over to the customer once NVIDIA Infrastructure Specialist team deploys them. - CBU Networking will focus on the customer’s questions or the change requests of the network topology or the workload optimization in the networking perspective in order ultimately to help customers expand their clusters. - CBU Networking will also work internally with CBU DevOps responsible for the cluster orchestration layer and Infrastructure Solutions Architect responsible for the design of the cluster at the beginning. - CBU Networking may work not only for post-sales support but also the pre-sales support as Infrastructure Solutions Architect from time to time depending on the situation. What we need to see: - BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. - At least 8 years of professional experience in networking fundamentals, especially in AI/HPC cluster with NVIDIA platform. - Proficiency in configuring, testing, validating, and resolving issues in InfiniBand or Ethernet networks. - Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols. - Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS. - Ability to develop CI/CD pipelines for network operations. - Strong focus on customer needs and satisfaction. - Self-motivated with leadership skills to work collaboratively with customers and internal teams. - Strong written, verbal, and listening skills in English are essential. Ways to stand out from the crowd: - Familiarity with NVIDIA Reference Architecture or NVIDIA Reference Design consists of the compute fabric, storage fabric, or the management fabric. - Linux or Networking Certifications. - Experience with NVIDIA cluster orchestration software such as Mission Control, Base Command Manager, or Run:ai. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you.
Get tailored job alerts, not another account to manage
Start with your email. We’ll send the newest roles for this site each day; unsubscribe in one click.
Coming soon: automatic applications. You’ll be able to define your criteria and let Jobs in AI apply to matching roles. This is a preview only—applications are not automated today.