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Senior AI Researcher - World Foundation Models
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is building the next generation of AI systems that can perceive, reason about, and generate dynamic worlds. Our team advances world foundation models to enable high-fidelity, temporally stable video and world generation for Physical AI, simulation, and interactive experiences. This role operates at the applied-research boundary: developing and validating model improvements, then hardening them into production-grade checkpoints and recipes that teams can reliably build on. The technical focus is on human appearance, motion and action understanding. Progress is measured through disciplined experimentation, robust diagnostics, and repeatable side-by-side evaluation. Work is delivered in close partnership with data, platform, and product engineering to ensure improvements translate into real performance and quality. What you'll be doing: - Research, implement, and validate model architecture and algorithm changes that improve video generation fidelity, with emphasis on human-centric quality. - Explore and prototype improvements across spatial multimodal modeling, modality alignment, flow-based or diffusion-based video generation, and neural rendering-inspired representations to improve controllability and long-horizon consistency. - Improve training and inference efficiency through architectural and post-training techniques (compute/memory optimizations, distillation, pruning, and compression). - Define model training objectives that improve sim-to-real and real-to-sim generalization, especially for human motion, contact, and interaction dynamics across real-world and synthetic/simulation data. - Develop detailed, domain-specific benchmarks for evaluating world foundation models, especially generation and understanding world models that reason about video, simulation, and physical environments. - Translate research results into robust implementations like training code, production-grade checkpoints, model integrations, and demos that clearly showcase capability gains across teams. What we need to see: - PhD in Computer Science, Graphics, Computer Engineering, or a closely related field (or equivalent experience). - 8+ years of applied research and/or industry experience in vision, graphics, or adjacent ML domains or similar area. - 3+ years of direct experience designing, training, and evaluating generative models for image/video/audio, with strong fundamentals in modern deep learning. - Hands-on experience improving generative models with a focus on perceptual quality and temporal stability, especially for generating humans. - Advanced proficiency in Python, PyTorch, C++, and CUDA with strong research-engineering practices (reproducibility, testing, profiling, experiment tracking). - Experience training and debugging large models in multi-GPU and/or multi-node environments and distributed training workflows - Practical knowledge of inference/runtime bottlenecks and optimization techniques. - Strong “eye for quality” and interest in diagnosing visual artifacts (sharpness, texture detail, temporal stability, etc.) using perceptual metrics, human preference signals, or learned evaluators. Ways to stand out from the crowd: - Proven track record in related research, including publications in top conferences (e.g., NeurIPS, CVPR, ICLR), with clear evidence of impact on model quality or robustness. - Experience using agentic workflows, and AI coding companions, to accelerate research and production development, including code generation, debugging, test creation, experiment automation, benchmark development, documentation, and large-codebase navigation. Join us to help build the next generation of world models! 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 for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 27, 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 Consumer Sales Manager
Known throughout the technology world as one of the most sought-after employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, autonomous cars and conversational AI 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 build our teams with the smartest people in the world. Join us at the forefront of technological advancement. The candidate will be responsible for both GeForce business (which includes discrete cards as well as PC systems) that is sold indirectly through AIC/OEM partners (such as ASUS, MSI, GIGABYTE, LENOVO, HP etc) as well as NVIDIA’s own branded consumer products that are launched in the market. The candidate is expected to develop new business opportunities by increasing TAM and launching new categories. What you’ll be doing: - Providing strategic direction and leadership to drive GeForce as the dominant gaming platform within the industry. - Working with our AIC/OEM partners in the local market on their forecast and sales plan to their distributors and managing programs and incentives to ensure partners achieve their targets. - Identify and appoint a distributor for NVIDIA branded products and ensure that distributor meets all requirements and sales target. Develop and implement high impact and effective end-user demand generation program to drive NVIDIA product and brand preference and sales growth. - Work with operations to ensure that distributor is meeting inventory and credit performance and take necessary action to address potential issues for NVIDIA branded products business - Work with Marketing to develop channel promotions & activities and provide necessary input to ensure distributor and retailer buy-in of key activities. - Develop relationship and bring to bear key gaming eco-system partners and vendors to build GeForce preference in the country. - Plan and organize events such as game tournaments, product launches and training programs for dealers and end users. Seek partnership and collaboration with other game developers, PC component vendors as well as consumer companies interested in Gaming industry. - Work with Community Manager to drive advocacy and preference for GeForce as the PC platform of choice with gamers. Represent NVIDIA's interests with government agencies and associations to promote responsible gaming and E-sport. What we need to see: - 5+ years of senior sales & marketing experience in IT or Consumer products with proven success in sales management, working with distributors, and managing a team. - A BS degree or equivalent experience is required, preferably from a world-class university; an MBA or similar qualifications would be a plus. - Previous professional experience with IT retail companies, telecommunications providers, and gaming-focused organizations will be a plus. A strong enthusiasm and dedication to PC gaming and the sector are crucial. - Being able to communicate in Mandarin would be beneficial but is not mandatory. - Strategic and forward-thinking. Able to present and connect with senior and executive management. Has maturity, intellect, and negotiation skills. - Possesses strong oral and written communication skills. Works effectively with others. Self-disciplined and motivated. NVIDIA is committed to encouraging a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees. We do not discriminate in hiring or promotion based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected characteristic. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Senior Solutions Architect, Generative AI Research
Join NVIDIA to help university researchers advance the next generation of foundation models, multimodal AI, reasoning systems, and AI agents! At NVIDIA, we build accelerated computing platforms for frontier AI research. We partner with faculty, graduate researchers, and campus research-computing teams that push model performance, efficiency, scale, and scientific impact. We are looking for a Senior Solutions Architect for our Higher Education and Research Team. This role supports academic developers working on LLMs, VLMs, pretraining, post-training, evaluation, inference studies, scalable systems, and agent behaviors such as tool use, planning, memory, and multi-agent coordination. What you'll be doing: - Partner with universities to shape high-impact work on foundation models, generative AI, multimodal AI, reasoning systems, AI agents, and AI systems. - Advise labs on GPU-accelerated training, inference studies, agent evaluation, tool-use methods, data pipelines, scaling experiments, and reproducible workflows. - Help build research prototypes with researchers utilizing the NVIDIA full stack. - Analyze throughput, memory, parallelism, latency, and scaling across workstations, multi-GPU servers, and campus HPC clusters. - Translate lab feedback into technical examples, workshops, roadmap input, and adoption guidance for NVIDIA teams. - Travel up to 20%. What we need to see: - BS, MS or PhD in Computer Science, AI/ML, Electrical Engineering, Applied Mathematics, or a related technical field, or equivalent experience. - 8+ years of hands-on experience with AI systems, accelerated computing, distributed training, inference studies, or research-scale generative AI workflows. - Deep foundational AI expertise across LLMs, VLMs, multimodal models, reasoning, long-context models, fine-tuning, post-training, agentic AI, and evaluation. - Strong systems fluency in PyTorch or JAX, Python, Linux, distributed AI, data loading, checkpointing, memory optimization, batching, scheduling, latency, and throughput. - Experience guiding faculty, graduate researchers, and research-computing teams on benchmarks, reproducibility, reliability, safety, agent evaluation, and research impact. - Clear communication, technical judgment, and comfort turning complex model, agent, and infrastructure questions into practical next steps for labs. Ways to stand out from the crowd: - Advance AI scholarship through publications, open-source contributions, benchmark leadership, technical workshops, tutorials, or academic lab collaborations. - Contribute to pretraining, post-training, RLHF/RLAIF, DPO, synthetic data, data curation, scaling laws, model efficiency, agent evaluation, or benchmark design. - Familiarity with AI agent methods like LangGraph, LlamaIndex, LangChain, CrewAI, AutoGen, Semantic Kernel, Google ADK, OpenAI Agents SDK, DSPy, MCP, or A2A. - Experience with NVIDIA NeMo (Agent Toolkit, Guardrails, Megatron, Framework, NIM), Nemotron, OSS, Transformer Engine, TensorRT-LLM, Triton, RAPIDS. We are excited to meet researchers and builders who raise the technical bar and help universities move faster from idea to discovery! 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 June 28, 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 Factory Observabili...
NVIDIA's Infrastructure Specialists team is hiring a Senior Solutions Architect - AI Factory Observability & Visualization! This remote role develops full-spectrum visibility that supports the smooth functioning of HPC systems and AI factories, transforming intricate telemetry across network and compute into straightforward, actionable perspectives. The role has a complete, end-to-end understanding of the HPC/AI system, running and interpreting microbenchmarks and workloads to confirm system readiness, then establishing the observability that maintains this state. The work involves collaborating across NVIDIA teams to help partners see, understand, and respond to HPC system and AI factory performance, from hardware to workload. What You Will be Doing: - Run AI factory validation tools, microbenchmarks, and workloads provided by the team, and interpret results to assess system health and performance. - Gain a comprehensive understanding of the system from start to finish, including network topology, interconnects, and compute. - Establish what "healthy" represents across the stack — the metrics, logs, and signals that confirm a system is functioning well, and the thresholds that show it isn't. - Build and extend the telemetry surface across hardware, fabric, and workload, crafting how data is collected, transformed, stored, and surfaced. - Serve as the observability expert, investigating gaps in visibility to ensure it reflects true system behavior. - Develop automation (Python, Shell) for collecting, transforming, and presenting system and network data. - Recommend improvements to system visibility, data sources, and reporting that give teams clearer insight. - Collaborate with hardware, software, networking, datacenter, and product groups to ready HPC systems and AI factories for customer deployment, contributing documentation and readiness materials throughout the process. What We Need to See: - Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, Physics, or related field. - 6+ years of experience managing Linux-based systems in HPC, distributed systems, or large AI/ML settings. - Hands-on experience with the architecture of multi-GPU and/or multi-node clusters, including networking and interconnects. - Solid grasp of how HPC and AI factory systems fit together end to end, from network fabric through compute. - Proficiency with Python and Shell/Bash for scripting, automation, and tooling. - Practical experience working with observability systems (e.g., Prometheus, Grafana, Loki, or similar), including building custom exporters or collectors, setting up alerts, and handling metric cardinality and retention on a large scale. - Experience transforming metrics, logs, and traces into clear, actionable insight for complex distributed environments. - Familiarity with GPU and fabric telemetry (e.g., DCGM, NVLink, InfiniBand/Ethernet fabric counters) and using it to diagnose performance regressions. - Strong communication skills and the ability to work effectively with cross-functional teams. Ways to Stand Out From the Crowd: - Experience with AI factory or large-scale AI infrastructure build, deployment, or operations. - Background in HPC systems engineering, SRE, or systems analysis for GPU-accelerated environments. - Experience building automation and data pipelines that feed dashboards and reporting at scale. - Demonstrated desire to use AI to solve practical problems, improve workflows, and guide data-driven decisions. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 28, 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, Data Platform GTM
NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Data Analytics and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? This role will focus on helping ISVs understand, adopt, and commercialize NVIDIA acceleration technologies across structured data processing, analytics, unstructured data, retrieval, and agentic AI workflows. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA! You will partner closely with ISVs, product, engineering, developer relations, business development, sales, and segment teams to identify high-impact use cases, develop early POCs and build repeatable enablement. What You Will Be Doing: - Drive technical GTM with Data Platform ISVs across query engines, databases, analytics platforms, data processing frameworks, and AI data infrastructure. - Partner with ISVs on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and customer-facing enablement - Help ISVs identify the right NVIDIA acceleration paths for their platforms and use cases, including cuDF, Spark RAPIDS, Polars, Velox, cuVS, and related NVIDIA libraries - Build repeatable GTM assets such as reference architectures, technical playbooks, demos, blogs, talks, and customer training - Support emerging data platform use cases for GenAI, including unstructured data processing, RAG pipelines, data preparation, and retrieval workflows - Travel up to 20% for conferences and customers may be required What We Need To See: - BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) - 8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics - Strong background in data platforms, distributed systems, analytics, databases, or systems for managing and processing data - Familiarity with data ecosystems such as Spark, Pandas, Polars, DuckDB, Trino, Presto, Velox, vector databases, or unstructured data pipelines - Experience working with ISVs, partners, or enterprise customers in a solutions architecture or field engineering role - Excellent presentation, communication and collaboration skills Ways To Stand Out From The Crowd: - Hands-on experience with NVIDIA GPUs and software libraries, such as NeMo Retriever , cuVS , RAPIDS and cuDF - Background in RAG, agentic AI, unstructured data processing, or inference and data platform integration - Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design - Familiarity with parallel programming and distributed computing platforms Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 28, 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 Design Engineer - New College Grad 2026
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 challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the Graphics Product Team. In this role, you will be working with a team of HW/SW engineers to develop NVIDIA GPU/Tegra based products for GPU cards, MGX servers, automotive, robotics, industrial PC, consumer electronics, etc. What You'll be Doing: - Build system hardware products around GPU & Tegra SoC. - Collaborate with cross-function team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects. - Drive initial test and bringup, lead the debug efforts. - Create schematic, supervise PCB layout and system validation. - Handle documentation required to release the product to manufactures and partners. - Optimize/invent circuits, functions for better performance, and lower cost. - Improve the design flow together with the infrastructure team. What We Need to See: - Recent graduate with a B.S or M.S. in Electrical Engineering or equivalent experience. - Have strong analytical skills including past experience in PCB design and review. - Experience with using lab tools such as oscilloscopes, multimeters, and logic analyzers. - Possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS’s - Strong verbal and written 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 with 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 92,000 USD - 155,250 USD for Level 1, and 108,000 USD - 184,000 USD for Level 2. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior DFT Engineer
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work , to amplify human imagination and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What you'll be doing: - As a member in our team, you will own and work with cross functional teams, implementing state-of-the-art designs in test access mechanisms, IO BIST, memory BIST and scan compression. - In addition, you will help develop and deploy DFT methodologies for our next generation products. - You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: - BSEE (or equivalent experience) with 5+, MSEE with 3+ years of experience or PhD in DFT or related domains - Demonstrated knowledge and expertise in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG and fault simulation - Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate designs using vendor tools - Good exposure to cross functional areas including RTL & clocks design, STA, place-n-route and power, to ensure we are making the right trade-offs - Experience in Silicon debug and bring-up on the ATE with an understanding of pattern formats, failure processing, and test program development - Strong programming and scripting skills in Perl, Python or Tcl desired - Extraordinary written and oral communication skills with the curiosity to work on rare challenges Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. At its core, our visual computing technology not only enables an outstanding computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you! LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 28, 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 Infrastructure Software Engineer, Deep Lear...
We are now looking for a Senior Infrastructure Software Engineer for Deep Learning Libraries! NVIDIA's Deep Learning Libraries Group is seeking excellent software engineers to enable the next wave of NVIDIA’s highest performing deep learning libraries. The role spans multiple products, including cuDNN , TensorRT , and CUDA kernel libraries. The mission is to design and develop scalable, modular infrastructure that streamlines development, builds, and tests across NVIDIA’s diverse set of platforms, from Drive AGX for autonomous vehicles to DGX servers for datacenters and large language models. Join our technically diverse team of software engineers and infrastructure experts to design the systems that enable NVIDIA to stay ahead of the competition as we deliver the world's fastest deep learning platforms. What you'll be doing: - Designing and developing software for testing and analysis of our codebases - Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries - Developing throughout the software stack, from the user experience and user interfaces down to the cluster and database layers - Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc.) - Develop front-end solutions using HTML, CSS, JavaScript, and related web technologies - Advancing the state of the art in those industry-standard tools What we need to see: - A Masters Degree in Computer Science or Computer Engineering or equivalent experience. - 3+ years of relevant experience - Strong programming skills in Python (or similar) and familiarity with C/C++ development - Experience setting up, maintaining, and automating continuous integration systems (e.g. Jenkins, GitHub Actions, GitLab pipelines, Azure DevOps) - Experience in HTML5, CSS, NodeJS, or React - Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel) - Background with distributed systems and cluster/cloud computing, especially with Kubernetes Ways to stand out from the crowd: - Prior experience designing and developing automation in Jenkins with Groovy (or similar) - Track record of identifying useful new technologies and incorporating them into SW development flows - A strong understanding of unit and integration test frameworks and experience with crafting them - Experience with mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, or similar) This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many AI/DL/Compute Software projects. Are you creative, driven, and autonomous? Do you love a challenge? 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Deep Learning Performance Architect
We are now looking for a Senior Deep Learning Performance Architect! NVIDIA is seeking extraordinary architects to develop processor and system architectures that accelerate machine learning, data analytics and high-performance computing applications. This position offers the chance to create a meaningful impact in a dynamic, technology-focused company. What you will be doing: - As a member of our deep learning architecture team, you will craft high performance energy efficient system and processor architectures to extend the state of the art in deep learning. - Prototype key deep learning and data analytics algorithms and applications. - Analyze trade-offs in performance, cost and power developing analytical models, simulators and test suites. - Analyze architecture performance and/or energy efficiency considering deep learning workloads, modeling and prototyping. - Collaborate across the company to guide the direction of machine learning, working with software, research and product teams. What we need to see: - Master's or PhD in Computer Science, Electrical Engineering or Computer Engineering, or equivalent experience. - 4+ years of relevant work or research experience. - A strong foundation in machine learning and deep learning fundamentals to complement your expertise in computer architecture. - A strong background in high performance power efficient designs, energy efficient high performance computing, performance analysis and profiling to identify performance bottlenecks. - Fluency in programming languages such as Python, C, C++. - Experience and familiarity with GPU computing and parallel programming models. - You have firsthand work experience with analytical performance modeling, profiling, and analysis. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Today, NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.” 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 seeking new challenges? If so, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 28, 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 Firmware PCIe Engineer
Join NVIDIA and Shape the Future of AI Infrastructure. At NVIDIA, our inventions are the engine of accelerated computing and modern AI. Our work powers everything from groundbreaking scientific research to the generative AI applications transforming our world. We believe that our people are our greatest strength, and we're looking for a skilled PCIe Firmware Engineer to join our team and help our customers succeed. In this role, you will be a critical link between our pear team / QA / Application and the PCIe FW design team. You will have a direct impact on our business and technology by solving sophisticated technical challenges and ensuring our customers can build the next generation of supercomputers and AI fabrics. What you will be doing: - Solve complex problems: Investigate, debug, and resolve challenging PCIe firmware issues for our most important customers, serving as their trusted technical expert. - Collaborate across teams: Partner with our Chip Design, Software, and Architecture engineers to find root causes and develop robust, long-term solutions. - Influence product development: Translate customer needs and field data into actionable feedback that directly shapes the future of our products. - Share your knowledge: Help improve our team's processes and contribute to our knowledge base, making everyone more effective. What we need to see: - A degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience. - 8+ years of significant professional experience in embedded firmware development, with a deep understanding of PCIe. - A strong foundation in computer architecture, operating systems, and object-oriented programming. - A proactive and curious approach with a passion for continuous learning and problem-solving. - Clarity in explaining complex technical issues to both customers and engineering peers. - Experience using scripting languages like Python or Bash to automate tasks. Ways to stand out from the crowd: - Previous experience in a customer-facing or application engineering role. - Direct experience with PCIe switch architecture and firmware. - Deep knowledge of hardware verification concepts and tools (C++, Jenkins). - Expertise in networking protocols and the Linux operating system. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior AI Infrastructure Engineer
We're looking for a Senior AI Infrastructure Engineer to join a group that specializes in Security and Networking, and specifically ML/AI, MLOps, and agentic AI development. As a Senior AI Infrastructure Engineer, you’ll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, and security architects to ensure smooth development, deployment, evaluation, and optimization of AI pipelines, models, and agents. This role requires a balance of high-level engineering rigor and a collaborative spirit; you’ll be a technical anchor and a supportive peer for teams across the organization. What you’ll be doing: - Architecting, developing and optimizing scalable infrastructure for deploying security and networking AI models and agents in production. - Managing ML/agentic workflows to ensure performance, high availability, resource efficiency, and cost-effectiveness. - Designing and implementing pipelines and frameworks for AI training, inference, and experimentation. - Partnering with data scientists and security architects to operationalize AI agents, including packaging and integration with existing systems. This includes contributing to and reviewing code, design documents, and test plans. - Partnering with DevOps teams to integrate pipelines and workflows into CI/CD processes, ensuring reliable deployments and rollbacks. - Building proactive monitoring systems to identify issues in quality and infrastructure before they impact production. - Implementing access controls, authentication mechanisms, and encryption standards to keep our AI models and data secure. - Documenting guidelines and leading knowledge-sharing sessions to elevate the team’s collective development expertise. What we need to see: - BSc/MSc in CS/CE or related field (or equivalent experience) - At least 8 years of experience in ML engineering - A track record of deploying LLMs and agents to production - Proficiency in Python and/or C++, with a deep understanding of ML/AI frameworks. - Hands-on experience with microservices, container orchestration, and cloud platforms for large-scale training and inference workloads. - Knowledge of ML training and inference optimization techniques. - Understanding of build infrastructure and CI/CD tools and practices (e.g. GitLab, GitHub Actions, Jenkins) - Experience with teaching and mentoring. - You are a proactive owner who takes pride in your work but remains humble and approachable. You believe that "how" we build is just as important as "what" we build. - Excellent collaboration skills, with the ability to explain complex infra concepts to non-technical stakeholders clearly and kindly. Ways to stand out from the crowd - Experience deploying and optimizing generative models and multi-agent systems for performance. - Deep systems knowledge (Linux internals, network protocols, or high-performance computing). - A background in security research, including knowledge of firewalls, intrusion detection, or network architectures. NVIDIA has some of the most forward-thinking and hardworking 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 a real passion for technology, we want to hear from you. We are committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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. NVIDIA is an equal opportunity employer. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. This team works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What you'll be doing: - As a member of the DFT team, you will be working on verification of state of art Memory BIST logic alongwith other DFT circuits like JTAG, IO BIST and ATPG. - You will be Validating test features with a robust & scalable testplan development at unit-level and SOC/Full Chip level using verification methodologies like UVM and NVIDIA Internal tools. - Simulating Pre-Silicon Simulation and Debug of Test functionality using standard Industry tools and sign- off on Test coverage for various products using standard coverage metrics. - Would work on automation, flow development & improvement, coverage metrics, test execution, bug identification/fix , and Memory-test productization. - Rich exposure and work on powerful Industry-standard tools for Design and verification methodologies. This includes SV, UVM, Perl, Python, and NVIDIA custom tools/flows. - Partner closely with our design team to understand our architecture, then collaborating with QA engineers to deliver good test coverage and improve software quality. What we need to see: - Btech/BE/BS or Mtech/ME/MS in EE/ECE or equivalent experience - Solid Analytical and Problem-Solving skills. - Good understanding and Exposure to Logic design, Architecture & Verification - Strong Coding skills in industry- standard scripting languages. - Exposure to DFT circuits and methodology. - 1+ yrs of experience in Industry-standard verification flows like constrained random testing, UVM, coverage metrics, profiling tools, X prop, etc. will be plus. - Outstanding written and oral communication skills with the curiosity to learn. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal-opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. LI-Hybrid
Senior Software Engineer - Kubernetes AI Scheduler
KAI-Scheduler is an open-source CNCF project focused on delivering the best scheduling experience for AI workloads on Kubernetes. Adopted by AI frontier labs, leading enterprises, and some of the largest AI infrastructure deployments in the world, KAI helps organizations efficiently run AI at scale. KAI is designed to support any AI infrastructure—from the latest GPU and networking technologies to future hardware generations—while maximizing performance, utilization, and scalability. As a Senior Software Engineer for KAI, you will help build the future of AI scheduling in the Kubernetes ecosystem, working on challenging problems spanning workload scheduling, Kubernetes internals, and large-scale AI infrastructure. What you’ll be doing: - Develop clean, maintainable, and well-tested software in Go. - Design and implement scalability improvements for KAI, helping it operates efficiently in massive-scale deployments (thousands of nodes) while addressing Kubernetes scaling constraints and bottlenecks. - Apply strong algorithmic thinking to solve complex AI workload scheduling and placement challenges, balancing performance, fairness, cluster utilization, topology constraints, and scalability. - Conduct code and design reviews to uphold high-quality standards and mentor team members. - Work closely with contributors, users, and customers, helping translate feedback from production deployments into product and engineering improvements. - Collaborate with related upstream projects (schedulers, AI frameworks, cluster autoscalers, Kubernetes SIGs/WGs, etc.) and contribute to community and ecosystem discussions. What we need to see: - B.Sc. or M.Sc. in Computer Science or a related field or equivalent experience - 8+ years of experience in backend software development, including system design and architecture - 4+ years of advanced Kubernetes development experience, including designing and implementing CRDs and controllers, with deep expertise in Kubernetes internals, networking, storage, and cluster architecture. - Strong algorithmic skills with experience tackling complex optimization and distributed systems challenges. - Strong technical skills and a proven ability to collaborate with and mentor other engineers. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Senior Mask Layout Design Engineer
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 challenge 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: - Perform physical layout for mixed-signal functions like PLL's, high speed memory I/O circuits, SerDes, general I/O's, ESD structures designs in state-of-the-art sub-micron CMOS FinFET technologies using Cadence tools - 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 What we need to see: - BSEE with a minimum of 5 years of relevant mask design / layout experience or equivalent experience - Proven understanding of analog circuit layout concepts in submicron CMOS technologies - Expert with Cadence custom circuit design tools - particularly virtuoso - Experience running and debugging DRC and LVS with verification tools such as Dracula, Hercules, Calibre, - Able to communicate in spoken and written English - Work effectively in a team, good interpersonal skills, enthusiasm 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 decks We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Senior Mixed Signal Design Engineer
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. Make the choice to join us today. We are now looking for a Senior Mixed Signal Design Engineer. As a member of our Mixed Signal team, you are responsible for architecture definition and design of CMOS high-speed interface circuits and mixed-signal circuits. Strong hands-on experience in the lab with silicon validation, debugging, characterization and bring up is desired. What you’ll be doing: - You will be part of the design and implementation of high speed interface circuits - Have the chance to create projects including high speed transceivers and high frequency PLLs - Become involved in the design, simulation, and verification of mixed-signal circuits - Lead mask designers, provide mentorship for floorplan and layout design - Provide support to the lab characterization of silicon, and pursue the challenges of circuit design in deep submicron CMOS - You will take designs through implementation and productizing; Collaborate with multi-functional teams What we need to see: - BS or MS in Electrical Engineering, PhD preferred. (or equivalent experience) - 5+ years of design experience in CMOS analog / mixed-signal circuit - Working knowledge of Cadence custom design tools, circuit simulator, timing analysis tool - Someone who's an exceptional teammate with good interpersonal skills. Validated experience in leading and mentoring designers - Your extensive design experience in Data Converters, Tx, Rx, CDR, PLL for high speed IO interfaces. In-depth understanding of deep submicron CMOS process and related circuit design issues - Proven experience in silicon bring-up, debugging and use of lab instrumentation is required. Knowledge in system level timing budget, signal integrity, and power integrity is a plus - Experience in Verilog, Matlab, Nanotime is helpful NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.
Senior System Software Engineer, Speech AI
Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, autonomous cars and conversational AI 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 build our teams with the smartest people in the world. Join us at the forefront of technological advancement. NVIDIA is looking for a Senior System Software Engineer with deep expertise in speech technologies to support enterprise and developer customers. This role involves hands-on technical engagement with customers to implement, troubleshoot, and optimize Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Audio Language Models (ALM), and Speech-to-Speech (S2S) systems in production environments. If you're creative & passionate about solving real world conversational AI problems, come join our Speech AI Engineering team. What you’ll be doing: - Work on cutting-edge GPU-accelerated AI systems deployed at scale - Tackle challenging problems in real-time streaming audio processing and low-latency inference - Troubleshoot and resolve complex issues across ASR, TTS, ALM, and S2S pipelines - Model Integration: Work alongside Model researchers to transition ASR, TTS and S2S models from research to production readiness. - Develop Core Speech Services : Build and enhance C++ & python backend implementations for ASR, TTS, and S2S pipelines, leveraging CUDA for GPU acceleration - Optimize Inference Performance: Improve streaming latency and throughput through advanced batching strategies, encoder caching, and multi-threaded pipeline optimizations - Feature Development: Add new capabilities such as advanced voice activity detection, speaker diarization, decoder implementations (CTC, WFST, Flashlight), and text post-processing - Client Libraries: Contribute to Python and C++ client SDKs and CLI tools for easy service integration - Assist with API integration, SDK usage, model deployment, and performance optimization - Provide advanced technical guidance to customers implementing speech technology solutions What we need to see: - Masters or BE/BTech in Computer Science, computer architecture, or related field - 6+ years of experience - Excellent C++ & Python programming and software design skills, including debugging, performance analysis, and test design. - Experience with inference pipelines for LLM, Speech Recognition & Speech Synthesis - Solid understanding of modern model architectures (Transformers, CNNs, RNNs) - Excellent debugging abilities spanning multiple software (storage systems, kernels and containers) - Experience building and deploying cloud services using HTTP REST, gRPC, Websockets and related technologies - Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment - Ability to work independently, define project goals and scope and manage your own development effort. - Knowledge of real-time streaming audio systems and low-latency architectures - Experience with speech model fine-tuning or customization Ways to stand out from the crowd: - Publications or contributions to ML optimization open-source projects. - Experience with embedded systems or edge deployment NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Software Manager, Infra Tools AI Team
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We are now seeking a highly motivated Infrastructure, Tools & AI Engineering Manager to join our Ethernet Switching group, working on SONiC Network OS. In this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle — from development environments and CI pipelines through regression, code coverage, and test efficiency. You will apply cutting-edge AI and LLM capabilities to transform how we analyze failures, generate test coverage, and accelerate product quality. What you’ll be doing: - Lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities - Design, build, and maintain scalable infrastructure for development, integration, and test environments supporting SONiC OS. - Architect and deliver LLM-based tools for intelligent regression analysis — failure classification, root cause clustering, anomaly detection, and test flakiness prediction - Lead efforts to reduce regression runtime through parallelization, smart test selection, and dependency-aware scheduling - Develop deep technical knowledge of SONiC Network OS internals, including its subsystem architecture, SAI/ASIC abstraction layer, and management plane What we need to see: - B.Sc. degree or equivalent experience in Engineering/Computer Science/related field - 8+ overall years of software engineering experience, with at least 3 years of experience in a leadership role, managing software development teams - Proven ability to lead technical teams: hiring, mentoring, technical roadmapping, and cross-team influence - Experienced with developing software testing tools and tests infrastructure - Strong Python programming skills; experience building production-quality automation frameworks and tooling - Demonstrated experience designing and operating CI/CD systems at scale (Jenkins, GitLab CI, GitHub Actions, or equivalent) - Hands-on experience with LLMs or AI-assisted developer tooling — building, integrating, or productizing AI capabilities in an engineering workflow - Strong analytical and problem-solving skills with a bias toward measurable outcomes and data-driven decisions Ways to stand out from the crowd: - Deep Linux expertise: system internals, networking stack, process management, and scripting - Prior experience building LLM-powered test analysis pipelines or AI-enhanced DevOps tooling in a real production environment - Knowledge of networking protocols and hardware: Ethernet switching, L2/L3 protocols, QoS, VLANs, high-performance data center networking - Experience with code coverage instrumentation in large-scale C/Python codebases and using coverage data for test prioritization - Track record of measurably improving regression runtime, test reliability, or CI throughput in a complex embedded or systems software environment
Senior Applied AI Engineer, Product Simulation
NVIDIA is the industry leader in high performance computing, gaming and AI. Our GPUs and SOCs give outstanding performance and efficiency, revolutionizing myriad fields like cell research, robotics, crypto mining and so many more. We revolutionized the AI world by inventing CUDA. And we are just getting started. The Silicon Co-Design Group (SCG) is where architecture, silicon, systems, and manufacturing converge to bring NVIDIA's products to life. Every CPU, GPU, and Tegra SoC NVIDIA has shipped in the past four years passed through our toolchain on its way to production. Over 200 product SKUs were optimized during the Blackwell generation alone! Now we're hiring the engineer who will lead the rebuild of that toolchain around AI. We focus on the silicon layer of NVIDIA's productization work. Our tools take a chip from pre-silicon estimates through to the values that ship in firmware and populate customer specs. This role centers on the simulation and configuration engines that feed the firmware, manufacturing, and specification systems downstream, and how AI will optimize & automate every step. We're translating chip behavior into firmware-ready contracts, building agents that demystify sophisticated chip feature interactions, and developing evals that prevent bad products from shipping. What you'll be doing: - Help simulate power controller interplay, voltage-frequency operating points, and binning yields. Build the systems that push performance and power efficiency toward the speed of light. - Turn your understanding of silicon & firmware behavior into context engineering. Break down the silicon product optimization workflows into composable skills, hybrid retrieval stages, and orchestration layers. - Integrate silicon productization tools into a custom agent harness: define the tool registries (CLIs & MCPs), webhooks, trace capture, and human-in-the-loop checkpoints. - Lead eval-driven development for applied AI in production: error analysis on real silicon workflows, automated scorers of HW reasoning, CI regression gates that protect product quality. - Help set the team's AI direction. Mentor and grow the engineers around you. The silicon expertise here is strong; the AI bar is yours to raise. What we need to see: - BS or MS in EE/CE/CS (or equivalent experience) and 8+ years in silicon bringup, firmware, or productization engineering. - Have deployed multiple production Python services and data pipelines, including at least one LLM-backed system that SMEs depend on for their everyday work. - Can read silicon characterization outputs (speed, power, voltage noise, or binning) and know the tradeoffs between them. - Have a working opinion of new AI tooling within a week of release. Not from reading the blog post. From running it. Keeping up with every new feature and architectural change that NVIDIA packs into each chip is a real challenge, not to mention the weekly innovations in AI. And because our users are directly on the path to production, support questions don't always wait for business hours. The payoff is that every product NVIDIA ships goes through the systems you'll help build. You'll be using AI to shape the world's AI platform. If that sounds exciting, let's talk! 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 June 29, 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.
HSIO Validation Lead
NVIDIA’s invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with GPUs serving as the brains of computers, robots, and self-driving cars. Today, we are increasingly known as “the AI computing company.” We are actively seeking the smartest minds to join our company and usher in the next wave of computing. NVIDIA’s Silicon Co-Design Group is responsible for crafting NVIDIA’s GPUs and SoCs into groundbreaking platforms for autonomous machines, Cloud and Data Centers, Deep learning, High-Performance Computing, Gaming, and Entertainment solutions. What you'll be doing: - Drive the planning and execution of PCIe/NVLINK/C2C or similar HSIO interfaces across functional bring-up, system-level validation, productization, and troubleshooting for NVIDIA GPUs, CPUs, and SOCs. - Drive schedule, programming guides, customer critical issues, manufacturing yield improvements, and design feedback. Investigate technically complicated HSIO bugs and help drive debug efforts across various teams - Coordinate with logic design, circuit design, board design, Simulation, diagnostics, ATE, firmware, driver, and marketing teams to drive the chip into production. - Develop new methodologies to improve the silicon validation process, helping meet upcoming industry standards for performance, adaptability, and safety. - Ensure interoperability with connected devices and system components in sophisticated interconnect topologies. - Engage proactively with multi-functional engineering teams, including system architects, mixed-signal design, DGX, software/firmware, hardware/software quality assurance, operations, and application engineering, to facilitate the design, development, troubleshooting, and release of upcoming products. What we need to see: - BS or MS in Electrical or Computer Engineering (or equivalent experience) and a minimum of 8 years of relevant experience - In-depth understanding of PCIe (or similar) protocol and characterization/validation methods in a post-silicon environment - Excellent knowledge of Signal integrity concepts, Silicon characteristics, and high-speed/SERDES functional validation - Good knowledge of lab equipment (DSOs, BERT, Protocol/Logic analyzers) and hands-on post-Si bring-up, functional validation of HSIO interfaces - Understanding of firmware/driver structures and their interaction with HW. - Strong in scripting languages (Perl, Python ) to write direct test/debug programs for stress and failure analysis - Strong project management, collaboration, and communication skills NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention, the GPU, 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 outstanding creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for extraordinary people like you to help us accelerate the next wave of artificial intelligence. LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 29, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Product Development Engineer
NVIDIA continues to reinvent itself. 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 — a new chapter in computing. Are you passionate about working at the groundbreaking of technology? Make the choice to join us today. As part of the Operations NPI Product Development Engineering team, you will work on taking products from engineering concepts to high volume leading datacenter platforms deployed on a cloud scale. What you'll be doing: - Our team owns, develops and delivers the Manufacturing, Test, and Failure Analysis/recovery process for new datacenter servers and assemblies incorporating the latest NVIDIAs GPU, CPU, and high speed interconnect technologies. Your work will lead to the development of the product during the NPI phase and successful hand off and enablement of high volume production. - Collaborate with a multi-functional group of HW/FW/SW engineering teams, manufacturing partners, and other operations groups such as program management and product quality engineering. - Develop and implement comprehensive product development plans that will result in high quality products. Participate in Design for Manufacturing / Test (DFX) process and reviews. Provide DFX feedback that results in excellent product quality. - Work closely with factory personnel and engineering teams during prototype/validation builds, driving solutions to day-to-day problems, collecting metrics and reporting status. - Work with operations teams to define and implement process improvements, based on data collection and analysis. - Reviewing build dashboards to analyze latest throughput, yields and failures. - Debugging server platforms as per published guidelines. Performing minor rework, retesting and recovering units. - Publishing clear daily status and build reports. Develop documentation and SOPs for product assembly, test, debug/failure analysis for internal teams, contract manufacturers or external customers. - Collaborate with Contract Manufactures Failure Analysis, Test Engineers and Operators to ensure smooth running of factory assembly and test operations. What we need to see: - BS/MS or equivalent experience in Electrical Engineering and 12 + years of relevant work experience. - Proven skills and experience in design and manufacture of complex compute or networking hardware platforms. CPU, GPU, HBM, PCIe expertise and comfortable writing Python code. - Strong ability to diagnose and rationally solve problems on complex hardware platforms. - Familiar with diagnostics/test software as used in a factory setting. - Familiarity with Linux command line, running commands, reviewing outputs. - Ability to review logfiles and make initial triage decisions based on documentation provided by the Engineering Team. - Strong verbal and written communication skills, essential for collaborating with global matrixed teams and developing clear documentation and reports. - A high-energy, proactive self-starter with a strong sense of ownership and accountability to drive critical tasks and projects through to completion. - Ability to travel domestically and internationally, typically 2-3 times per quarter Ways to stand out from the crowd: - Strong EE fundamentals, knowledgeable in high speed digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture. - Prior board/system level electrical design experience. - Working knowledge of AI based tools for improving efficiency and automating day today tasks. 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 unparalleled growth, best-in-class teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, 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 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 29, 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 Memory Planner
We are looking for a Senior Memory Planner, located at our Corporate Headquarters in Santa Clara, CA. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used for work and play. Our technology impacts the visual experience in video game development, film production, deep learning, space exploration, medicine, computational finance and automotive design. And we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working, and creative people to help us take on some of these extraordinary opportunities. What you'll be doing: - You will be responsible for analyzing memory supply requirements, executing memory purchases, and minimizing memory shortages in alignment with the business unit - Collaborate with planning teams across the supply chain to validate and prioritize supply gap closures - Adapt memory planning processes, including tools and reports, to support current and future business needs - Collaborate with internal stakeholders to drive operational efficiency and resolve material constraints - Drive planning system enhancements, report automation, and process improvements to support growing global business What we need to see: - BA/BS degree in Supply Chain, Engineering, Business, or equivalent experience - 5+ years of experience in global supply chain/operations/manufacturing - Experience in planning software/ERP, preferably SAP, Anaplan, Excel, and other business software applications - Proven ability to work in a fast-paced operations environment with multifaceted and dynamic constraints - Outstanding problem solving, analytical and sophisticated modeling skills. Strong sense of ownership and attention to detail - Outstanding communication and collaboration skills Ways to stand out from the crowd: - Experience applying AI and ML to improve business processes. Proficient in building AI tools (PowerBI or tableau etc) to facilitate business decisions - Direct experience in memory planning/manufacturing - Excellent organizational skills, with the ability to balance multiple assignments concurrently With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous, with a genuine passion for technology? We want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 155,250 USD for Level 3, and 128,000 USD - 201,250 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 29, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
DFT Engineer - New College Grad
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 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. We are now looking for a highly motivated DFT Engineer to join this multifaceted and innovative hardware team at NVIDIA. Our Design-for-Test Engineering team works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most sophisticated semiconductor chips. What you'll be doing: - In this highly technical role, you will work on end-to-end DFT for the most sophisticated chips in the world, from methodology, to deployment to post-silicon lifecycle support. - Partner with the top EDA tool vendors to develop new capabilities to support NVIDIA requirements, and with internal CAD to drive efficiency via automations. - Work with NVIDIA VLSI and Operations teams to deliver the scan feature in all product segments at NVIDIA. - Help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: - Pursuing a MS or PhD (or equivalent experience). - Knowledge in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG and fault simulation. - Excellent analytical skills in verification and validation of test patterns and logic on sophisticated and multi-million gate designs using vendor tools. - Good exposure to multiple domains including RTL & clocks design, STA, place-n-route and power, to ensure we are making the right trade-offs. - Experience in Silicon debug and bring-up on the ATE with an understanding of pattern formats, failure processing, and test program development. Ways to stand out from the crowd : - Strong programming and scripting skills in Perl, Python or Tcl desired. NVIDIA offers highly competitive salaries and a comprehensive benefits package. At NVIDIA, we work on the hardest problems, and some of the most brilliant and motivated people in their fields choose to work here. Our world-class engineering teams are growing, as we lead the AI revolution from the front. If you are ready to make an impact in this journey, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 29, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Principal Software Engineer - Kubernetes AI Schedu...
KAI-Scheduler is an open-source CNCF project focused on delivering the best scheduling experience for AI workloads on Kubernetes. Adopted by AI frontier labs, leading enterprises, and some of the largest AI infrastructure deployments in the world, KAI helps organizations efficiently run AI at scale. KAI is designed to support any AI infrastructure—from the latest GPU and networking technologies to future hardware generations—while maximizing performance, utilization, and scalability. As a Principal Engineer for KAI, you will drive the technical direction of the project and shape the future of AI scheduling in the Kubernetes ecosystem. What you’ll be doing: - Define the technical roadmap of KAI-Scheduler, driving its architecture, APIs, extensibility, performance, and long-term direction, ensuring alignment with the evolving Kubernetes ecosystem. - Drive the scalability strategy of KAI for massive-scale deployments (thousands of nodes and tens of thousands of GPUs), with deep understanding of Kubernetes scaling constraints and bottlenecks. - Apply strong algorithmic thinking to solve complex AI workload scheduling and placement challenges, balancing performance, fairness, cluster utilization, topology constraints, and scalability. - Engage directly with contributors, users, and customers, incorporating feedback from real-world production deployments into the project's technical direction and serving as a visible technical leader within the open-source community. - Proactively collaborate with related upstream projects (schedulers, AI frameworks, cluster autoscalers, Kubernetes SIGs/WGs, etc.) and represent KAI in community and ecosystem discussions. What we need to see: - B.Sc. or M.Sc. in Computer Science or a related field or equivalent experience - 15+ years of experience in backend software development, including system design and architecture - 6+ years of advanced Kubernetes development experience, including designing and implementing CRDs and controllers, with deep expertise in Kubernetes internals, networking, storage, and cluster architecture. - Strong algorithmic background with experience solving complex optimization and distributed systems problems. - Superb technical level and a proven ability to mentor other engineers through code reviews, design reviews, and technical leadership. - Experience in maintaining open-source projects in the Kubernetes or broader cloud-native ecosystem, with a strong understanding of healthy open-source project dynamics, contributor engagement, and community collaboration. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Deep Learning Applications Engineer
NVIDIA is looking for an outstanding AI Engineer – Deep Learning Applications Engineer to design and build agentic systems and deep learning applications that deliver ADAS solutions. In this position, you will develop creative workflows, models, and simulations to productize NVIDIA driver assistance systems—from LLM/VLM-powered agents and automated bug diagnosis through innovative perception and robotics models integrated with SIL/HIL validation. This role requires hands-on experience on automotive-related embedded platforms, solid AI/ML and agent engineering skills, and the ability to give end-to-end from prototype to SIL/HIL and test infrastructure. A real passion for applying agentic AI and deep learning to production ADAS, and creativity in solving complex autonomous-driving and embedded problems, will be fully applied in this role. What you'll be doing: - Design and deploy LLM/VLM-powered agents for use cases across the autonomous driving stack, including automated bug diagnosis and triaging flows. - Develop and optimize innovative deep learning models for robotics and ADAS systems. - Build workflows, models, and simulations to productize NVIDIA driver assistance capabilities. - Develop agentic workflows for SIL and HIL solutions and integrate them with validation and test infrastructure. - Collaborate with solutions architecture, validation, firmware, and customer-facing teams to deliver features from prototype through SIL/HIL toward production readiness. What we need to see: - BS/MS or higher in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience). - 2+ years of relevant professional software engineering experience. - Demonstrated work in AI/ML, automation, test infrastructure, or platform/tooling - Hands-on experience on embedded systems in automotive-related platforms (e.g., in-vehicle ECU/SoC stacks, ADAS, IVI, AUTOSAR/Linux-based automotive software, automotive validation/SIL/HIL, or OEM/Tier-1 environments). Ability to read embedded logs, understand hardware–software constraints, and collaborate with firmware and validation engineers. - Solid proficiency with modern LLM/VLM APIs, prompt engineering, and agent frameworks (e.g., LangChain, AutoGen, CrewAI, or custom orchestration). - Strong proficiency in Python (agent orchestration, tooling, data pipelines) and working proficiency in C/C++ to read embedded code, interpret logs, and collaborate with firmware/validation teams. - Practical experience with Git, Docker, CI/CD, and test or verification frameworks used for automated software validation. - Strong analytical and communication skills; ability to learn quickly and own assigned features with guidance from senior engineers and multi-functional partners. - Hands-on SIL/HIL or simulation experience tied to ADAS perception, planning, or validation pipelines. Ways to stand out from the crowd: - PhD in Robotics and Deep learning is prefered - Deep embedded literacy: schematics, memory maps, RTOS/Linux log parsing, and hardware constraints beyond typical platform bring-up. - Experience fine-tuning open-source models (e.g., Llama-3, Mistral, Qwen) with LoRA/QLoRA for perception, code generation, or log analysis. - Background in automated software verification, fuzzing, or symbolic execution. - Publications, open-source contributions, or shipped projects in robotics, ADAS, or agentic automation. 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 consider your future, explore what we provide for you and your family at www.nvidiabenefits.com/
NCX Engineer, AI Accelerator
NVIDIA is seeking an NCX Engineer, AI Accelerator to join our AI Accelerator team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads! You will deliver hands-on technical assistance for advanced AI deployments, intricate distributed systems, and ensure customers realize efficient performance from NVIDIA's AI platform across varied environments. We partner with the world's most innovative AI companies to address their most challenging technical problems. What you will be doing: In this role, you will develop innovative solutions that advance AI infrastructure capabilities. You will directly influence customer success with breakthrough AI initiatives. - Build and deploy custom AI solutions on NCP and Neo Cloud platforms, including distributed training, inference optimization, and MLOps pipelines constructed on NVIDIA reference architectures. - Act as the main technical contact for strategic NCPs, offer remote and on-site support, troubleshoot complex production problems, and guide partner engineering teams on NVIDIA platform guidelines. - Deploy and manage AI workloads across DGX Cloud, NCP data centers, and major CSP environments using Kubernetes, containers, and GPU scheduling systems aligned to NCP builds. - Profile and tune large-scale training and inference workloads on NCP platforms. Implement observability and SLO/SLA monitoring. Lead detailed efforts to reduce latency, cost, and operational risk. - Implement and expand NVIDIA reference architectures on partner platforms, develop integrations with partner control planes and customer environments, and ensure smooth API, data pipeline, and enterprise software connectivity. - Build detailed implementation guides, runbooks, and post‑mortem documentation that codify standard methodologies for running NVIDIA AI workloads at scale on NCP platforms. What we need to see: - BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience. - 8+ years of experience in customer facing technical roles such as Solutions Engineering, DevOps, Site Reliability, or ML Infrastructure Engineering, ideally supporting large‑scale cloud or service provider environments. - Strong expertise in Linux systems, distributed computing, Kubernetes, containers, and GPU scheduling on multi-tenant or service-provider platforms. - Demonstrated AI/ML experience supporting large‑scale training and inference workloads (e.g., LLMs, generative models, recommendation systems) in production or critically important environments. - Solid programming skills in Python/Go, with hands‑on experience using frameworks such as PyTorch or TensorFlow for training and serving. - Demonstrated capability to collaborate with customer and partner engineering teams in fast-paced environments, guide intricate technical investigations, and bring issues to root cause and resolution. - Excellent communication and technical presentation skills, with the ability to clearly articulate architectures, trade‑offs, and recommendations to both engineering and leadership audiences. Ways to stand out from the crowd: - Experience with the NVIDIA ecosystem, including DGX systems, CUDA, NeMo, Triton, NIM, and NVIDIA networking technologies such as InfiniBand and RoCE. - Direct experience collaborating with NVIDIA Cloud Partners, hyperscale CSPs, or managed AI cloud platforms, including implementation of NVIDIA reference architectures for AI infrastructure. - Deep familiarity with MLOps and cloud‑native practices: containerization, CI/CD pipelines, observability stacks (Prometheus, Grafana, OpenTelemetry), and GitOps workflows. - Background in infrastructure as code (Terraform, Ansible, or similar) for repeatable deployment and configuration of GPU‑accelerated clusters and NCP building blocks.
System Design Engineer
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the Graphics Product Team. In this role, you will be working with a team of HW/SW engineers to develop NVIDIA GPU/Tegra based products for GPU cards, MGX servers, automotive, robotics, industrial PC, consumer electronics, etc . What You'll be Doing: - Build system hardware products around GPU & Tegra SoC. - Collaborate with cross-function team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects. - Drive initial test and bringup, lead the debug efforts. - Create schematic, supervise PCB layout and system validation. - Handle documentation required to release the product to manufactures and partners. - Optimize/invent circuits, functions for better performance, and lower cost. - Improve the design flow together with the infrastructure team. What We Need to See: - B.S or M.S. in Electrical Engineering or equivalent experience. - 5+ years of proven experience. - Have strong analytical skills including past experience in PCB design and review. - Experience with using lab tools such as oscilloscopes, multimeters, and logic analyzers. - Possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS’s - Strong verbal and written 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 with us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 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 June 30, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Product Architect
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 challenges that are hard to tackle, 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 looking for a Product Architect to help define & design SoC- and GPU-based products and drive hardware/software feature improvements through collaboration with the ASIC/System/SW teams. What you'll be doing: - Participate in every facet of the definition, positioning, architecture, and execution of GPU and SoC-based products. Fields include but not limited to automotive, robotics, industrial PC, consumer electronics, medical devices, etc. - Define the architecture of the products and provides guidance to the design engineers on the alignment of topologies and implementations. - Provide guidance to the cross-function team to pursue the balance of product cost, performance, and schedule. - Closely drive resolution of issues and bugs gating the completion of schedule. What we need to see: - 6+ years of experience as a Product Architect for chip, platform and hardware optimization of leading industry solutions. - BS/MS degree (or equivalent experience) in Electronic Engineering or related field. - Ability to delve into technical details of the product, and strong ability to justify proposed solutions with both business and technical partners within the organization. - Have strong analytical skills including past experience in PCB design and Product. - Motivation and ability to manage concurrent projects, constituents, and priorities with tight deadlines in a multifaceted environment. - Excellent communication skills required to work well with multi-functional teams from algorithms and software to hardware micro-architecture and silicon design teams. - Experience with DFx (Design for cost, test, manufacturing), Schematic, PCB Layout, Signal Integrity, Factory manufacture. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our Architecture team and help build the real-time, efficient computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 30, 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 Applications a...
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC-gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU-accelerated deep learning ignited modern AI—the next era of computing—with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” Our Enterprise AI team develops production-grade AI applications and shared AI platforms that operate across desktop, mobile, web, and cloud environments. These systems power engineering productivity, intelligent assistants, operational automation, enterprise search, knowledge management, and data-driven decision-making across NVIDIA. We are seeking a Senior Staff Software Engineer to help architect and build the foundation for NVIDIA's next generation of AI applications. This is a highly technical, hands-on leadership role for someone who combines deep full-stack engineering expertise with a strong platform technical leadership and a passion for delivering reliable, scalable, enterprise-grade AI products. This is not a research position. We are looking for an engineer who obsesses over software quality, operational excellence, user experience, and system reliability—and who can transform AI prototypes into trusted products used at scale. What You’ll Be Doing: - Architect and deliver production AI applications across desktop, mobile, web, and cloud platforms, driving technical decisions spanning user experiences, backend services, APIs, data pipelines, and platform infrastructure. - Establish engineering excellence for AI products through robust testing strategies, CI/CD, observability, release management, operational readiness, incident response, and performance optimization. - Build shared AI foundations including agent orchestration, memory and context services, evaluation frameworks, telemetry, workflow execution, tool integration, internal frameworks, and reusable platform services. - Operationalize NVIDIA AI technologies such as Nemotron, NIM, NeMo, AI Blueprints, and emerging AI platform capabilities in enterprise production environments. - Partner closely with product managers, designers, infrastructure teams, IT, and AI researchers to deliver measurable business impact while mentoring engineers and driving architectural alignment across organizations. What We Need to See: - BS, MS, or equivalent experience in Computer Science, Software Engineering, or a related technical field. - 10+ years of experience designing, building, and operating large-scale production software systems, including architecture leadership for complex products. - Strong full-stack development experience spanning modern frontend technologies (TypeScript/JavaScript, React, Electron, React Native, Flutter, or similar), backend services, APIs, and distributed systems. - Demonstrated expertise in cloud-native architectures, scalable platform infrastructure, data systems, and distributed application architectures. - Deep knowledge of software quality, testing, observability, release engineering, performance optimization, security, and operational excellence. - Experience building or operating AI-powered applications using technologies such as LLMs, RAG, agent frameworks, tool integrations, memory systems, or workflow orchestration. - Proven ability to influence technical direction across teams through strong architectural judgment, communication, and hands-on technical leadership. Ways to Stand Out from the Crowd: - Familiarity with enterprise application deployment, security, authentication, device management, and application lifecycle management. - Experience building and operating desktop and mobile applications at scale, including installers, enterprise deployment, app distribution, auto-update systems, crash recovery, offline experiences, and client observability. - Experience designing cross-platform application architectures that provide seamless user experiences across desktop, mobile, and web environments. - Familiarity with multi-agent systems, large-scale collaboration platforms, identity and trust frameworks, or enterprise-scale collaboration systems. - Hands-on experience with NVIDIA AI technologies, including NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints as well as experience contributing to or working with modern open-source AI ecosystems and agent frameworks. We have some of the most forward-thinking and dedicated people on the planet working for us. If you are excited about building enterprise-grade AI products, raising the quality bar for software at scale, and shaping the future of how AI agents work together, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 30, 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 Research Engineer – Multimedi...
NVIDIA is a global leader in AI, high-performance computing, and visualization, with GPU technology powering everything from modern computers to robots, autonomous systems, and the metaverse. As the pioneer of AI computing, NVIDIA is shaping the future of next-generation multimedia, generative AI, and spatial computing. We are looking for a visionary Senior Deep Learning Research Engineer to join our team. In this role, you will bridge the gap between Deep learning research and production, pioneering the next generation of audio foundation models. If you are passionate about solving ultra-complex, multi-modal AI problems that will redefine industry standards for entertainment, communication, and digital twins, come join us. What you’ll be doing: - Pioneer Generative AI - Audio Architecture: Lead the research, design, and development of state-of-the-art deep learning models solving complex problems in audio and speech domains. - Drive Future Technology Roadmaps: Define the technical vision and R&D strategy for NVIDIA’s future Audio, Speech and multimedia DL algorithms, ensuring alignment with hardware advancements. - Scale Massive Foundation Models: Train and optimize large-scale generative models (Diffusion, Transformers, Autoregressive models) using distributed training across massive GPU clusters. - Audio-Speech-Visual Fusion: Develop advanced algorithms for speech transformation, spatial audio, audio enhancements, and real-time video/audio enhancements using Deep Learning Algos. - Cross-Functional Leadership: Collaborate closely with NVIDIA Research, hardware architecture teams, and product groups (such as NeMo, AI4Media, and Broadcast) to productize breakthrough technologies. - Productize and Deploy models on Edge: Develop and productize inference models on NVIDIA GPUs and Nvidia RTX Spark platforms as SDK/Microservices after optimization. - Technical Mentorship: Mentor senior engineers and scientists, foster a culture of technical excellence, and maintain high standards via code and design reviews. What we need to see: - PhD in Computer Science, Artificial Intelligence, Applied Mathematics, or a related quantitative field. - 10+ years of industry or post-doc experience directly developing advanced deep learning models for audio, image, and video processing. - Deep Mastery of Generative AI: Proven track record of working with Diffusion models, GANs, Transformers, VAEs, Neural Radiance Fields (NeRFs) / 3D Gaussian Splatting, GRUs etc. - Strong Programming & Software Architecture: Elite Python coding skills with a solid foundation in production-grade software design, scalability, and data structures. - Framework Proficiency: Expert-level hands-on experience with PyTorch and deep familiarity with multi-modal data processing pipelines (video decoding, audio DSP, spectrogram analysis). - Proven Impact: A strong portfolio of shipped high-impact commercial AI products or a stellar publication record at top-tier AI conferences (CVPR, ICCV, SIGGRAPH, NeurIPS, ICASSP, Interspeech). Ways to stand out from the crowd: - Deep understanding of Generative Audio/Speech Architecture and Algorithms - Experience with large-scale distributed training frameworks (e.g., Megatron-LM, DeepSpeed, PyTorch FSDP) on cluster architectures. - High proficiency in C++ and low-level GPU optimization tools like CUDA, cuDNN, Triton, or TensorRT . - Experience in building World Models or physics-informed neural networks for video synthesis would be an add-on. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate based on 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 Manager – Cloud Provide...
We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to champion the adoption of NVIDIA's advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. What You'll Be Doing - Develop and maintain deep technical expertise in the cloud provider and hosting industry. Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in cloud provider and hosting industry, with cross-functional partners to drive adoption of NVIDIA technologies. - Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, platforms, and pipelines. - Guide partners through onboarding and integration by providing technical resources—such as sample code, guides, and demo pipelines—to accelerate cloud hosting services adoption and foster co-innovation of next-generation solutions. - Map and monitor the developer ecosystem to identify growth opportunities, collaborating with engineering, product management, and marketing to inform roadmaps and optimize partner adoption strategies. - Engage partner technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams. - Coordinate feedback across product and engineering organizations, identifying new opportunities of technology innovation and solution development. - Assist in product marketing initiatives through technology evangelization as a leading expert in cloud hosting technologies. - Orchestrate multiple adjacent team members in aligning end-to-end architectures and executing on technology integrations. What We Need to See - Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field. - A minimum of 12+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architect, product management, including 5+ years of direct hands-on experience in cloud hosting or AI Factory infrastructure. - Proven experience leading, partnering, scaling developer programs at major technology companies, and cloud infrastructure ISVs, or within relevant verticals. - Significant technical depth in cloud hosting software including end-to-end AI Factory infrastructure, container runtimes, Kubernetes, and hypervisors in a cloud hosting environment, hardware design of servers and building clusters through networking design, and contributions to product integrations and software libraries. - Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops. - Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators (across sales, legal, product or marketing teams as needed). - Skilled at distilling complex technical concepts for audiences from engineers to executives, with end-to-end experience in defining, integrating, building, and jointly marketing solutions with strategic ISV partners. Ways to Stand Out from the Crowd - Hands-on experience building or optimizing vertical-specific solutions (e.g., hardware architecture design for AI Factory clusters, high performance networking solutions for AI Factories, Linux kernel and library optimizations for application performance tuning, managed Kubernetes implementations at scale, etc). - Familiarity with advanced computing, AI, and/or GPU acceleration platforms (e.g., CUDA, DOCA, GPU/Network operator, vGPU hypervisor, AI workload sandboxing, NVIDIA's 5-layer AI model with a focus on DSX as a solution suite for cloud hosting providers, etc). - Successful history of building and scaling developer communities and delivering impactful technical enablement programs. - Expertise in building frameworks to capture developer sentiment and market shifts, translating real-time ecosystem dynamics into actionable intelligence for cloud hosting industry strategy and product rationalization. - Ability to connect individual components of an AI factory to create a cohesive end-to-end architecture, including inference hosting in cloud native environments with serverless and performance scaling. With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you. 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 June 30, 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 Infrastructure
NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap. What you will be doing: - Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. - Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features. - Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams - Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions - Build custom product demonstrations and POCs for solutions that address critical business needs of our customers - Analyze and debug compute/network configuration, performance issues to deliver performant clusters What we need to see: - BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. - This role is for an individual with the motivation and skills to drive the data center engineering process. Ideal candidate has 8+ years of Systems/Solution Engineering (or similar Engineering roles) experience - System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers - Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling) - Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes - Effective time management and capable of balancing multiple tasks - Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc Ways to stand out from the crowd: - External customer facing background - Experience with bringup and deployment of large clusters - Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers - Hands-on experience with NVIDIA GPU systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and/or ARM CPU solutions - Familiarity with virtualization technology concepts We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 30, 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 - Agentic AI
NVIDIA is seeking ASIC Design Engineers with experience in agentic AI to help design and implement the world's leading SoC's and GPU's. As part of NVIDIA's "AI for chip design" team, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of chip design at NVIDIA and throughout the industry. This position offers the opportunity to have a 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 exceptional 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. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer a great opportunity to be at the forefront of innovation. What you'll be doing: - As a member of the GPU Design Methodology team, you will document and deliver design guidelines that will help the ASIC team implement high performance, area and power efficient RTL to achieve design targets and specifications. - As part of the AI for Chip Design team, you will develop agentic AI solutions to craft the micro-architecture, implement the RTL, and deliver a fully verified, synthesis/timing clean design. - Collaborate and coordinate with other designers as well as tool and flow owners to make sure design guidelines and agentic solutions meet their requirements. - Make a difference by using AI technologies to tackle complex problems in chip design, driving innovation and meaningful impact across the industry. - Drive impact by designing and deploying LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems. - Stay ahead by engaging with the latest advancements in machine learning and AI to create powerful solutions. What we need to see: - Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related field (or equivalent experience). - 8+ years of meaningful work experience. - Experience in micro-architecture and RTL development (Verilog) in complex designs. - Deep understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis. - Exposure to Digital systems and VLSI design, Computer Architecture, and Computer Arithmetic is required. - Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles. - Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases. - Strong analytical, communication, and interpersonal skills, with a proven track record to thrive in dynamic, product-focused, and distributed teams. - A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. We inspire our engineers to build solutions for the problems faced by our customers. Are you creative? Do you love the challenge of continuously crafting the fastest, most efficient GPUs while driving innovation across multiple fields? 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 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 30, 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 Build Engineer - CUDA Driver and Libraries
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’s accelerated computing platform is the foundation of modern HPC and AI. At the core of this platform are the CUDA Driver, CUDA Toolkit and CUDA Core Libraries—C++ and Python libraries that enable developers to write fast, reliable, scalable GPU-accelerated software and the Legate libraries that accelerate multi-GPU workflows. We are looking for an outstanding build engineer to contribute to the build, testing, packaging and developer experience to accelerate development.. This includes projects like the CUDA driver, CUDA toolkit, CCCL (Thrust, CUB, libcudacxx), cuda-python, numba-cuda, Legate and cuPyNumeric. Join the team that builds, tests and packages the foundational libraries, algorithms, language and compiler infrastructure that make CUDA a speed of light delight for developers across a wide range of workloads including deep learning, scientific computing, HPC, and data analytics. What you will be doing: - Decomposing and modularizing build processes for reusablity across multiple projects - Debugging CMake, pip, and conda issues encountered in CI and local builds - Working on scripting and infrastructure to manage dependencies across various environments and build systems - Bringing up builds and CI across platforms (x86_64/arm64) and OSes (Linux/Windows/Mac) and other unreleased hardware and software - Working with engineering leadership to identify the support matrix and manage the scope of the build matrix - Automating scheduled work for all of the above What we need to see: - Bachelor’s Degree in Systems/Software/Computer Engineering, CS or equivalent experience - 8+ years of relevant industry experience or equivalent academic experience after BS - Experience working across multiple highly-coupled projects (in Git or another VCS) - Experience working with C/C++ and Python projects - Familiarity with CMake, pip, conda or other tools for C/C++ or Python build and packaging - Familiarity with CI/CD systems including Github and Gitlab - Understanding of testing principles - Knowledge of release management practices - Strong analytical, debugging, and problem-solving skills - Familiarity with containerization technologies (e.g. Docker) Ways to stand out from the crowd: - Background with or compiling for HPC/multi-node environment - Experience working with closed-source SW, confidential HW, or large code-bases (100k+ LoC) - Familiarity with binary library compilation, linking, and distribution - Exposure to development across multiple OSes - You have implemented, shipped, and EoL’d a conda package NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. 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 1, 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, CUDA Driver
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We're looking to grow our company, and form teams with the smartest people in the world. Join us at the forefront of technological advancement. Are you a motivated system software engineer with a deep understanding of device driver who has phenomenal C/C++ skills? If so, this role might be for you. We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part of a team that delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, data science and self-driving cars to video games and virtual reality. What you'll be doing: - As a member of our team, you will use your design abilities, coding expertise , and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA. - Evangelize, architect, and implement new features - Coordinate and drive development efforts across multiple teams - Help define forward-looking improvements to the CUDA APIs and programming model - Write effective, maintainable, and well-tested code - Develop code for multiple operating systems What we need to see: - BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience) - Strong C and C++ programming skills - Minimum of 7 years of related development experience (multiple positions for varying experience levels open) - Experience driving projects across multiple teams - Experience working with large codebases - Background with operating system interfaces for threads, process control, and virtual memory - Experience writing and debugging multithreaded programs - Good written communication as well as presentation skills Ways to stand out from the crowd: - Prior experience with parallel computing - Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO - Knowledge of memory coherence and consistency models - Background with kernel mode development - Experience with Linux, or Windows Systems Software development 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 1, 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, CUDA Driver - Mu...
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We're looking to grow our company, and form teams with the smartest people in the world. Join us at the forefront of technological advancement. Are you a motivated system software engineer with a deep understanding of device drivers, memory coherency & consistency models, phenomenal C/C++ skills, and an interest in multi-node scalability? If so, this role might be for you. We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part of a team that delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, data science and self-driving cars to video games and virtual reality. What you'll be doing: As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA. - Evangelize, architect, and implement new features related to CUDA’s memory model and multi-node scalability geared towards next-gen AI applications and deployments - Coordinate and drive development efforts across multiple teams - Help define forward-looking improvements to the CUDA APIs and programming model - Write effective, maintainable, and well-tested code - Develop code for multiple operating systems What we need to see: - BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience) - Strong C and C++ programming skills - Minimum of 8 years of related development experience (multiple positions for varying experience levels open) - Experience driving projects across multiple teams - Experience working with large codebases - Background with operating system interfaces for threads, process control, and virtual memory - Experience writing and debugging multithreaded programs - Good written communication as well as presentation skills Ways to stand out from the crowd: - Prior experience with parallel computing, PyTorch, low-latency AI inference - Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO - Knowledge of memory coherence and consistency models - Background with kernel mode development - Experience with Linux, or Windows Systems Software development 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 1, 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 System Software Engineer - CUDA Driver
We are hiring senior engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality! CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, switches and the operating system. What you'll be doing: As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best Compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA. - You will evangelize, architect, and implement new CUDA features - You'll oversee and drive development efforts across multiple teams - Collaborate with members of hardware architecture teams - Help define forward-looking improvements to the CUDA APIs and programming model - Design and maintain performance and precision modeling - Write effective, maintainable, and well-tested code - Develop code for multiple operating systems What we need to see: - Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience) - 15+ years of relevant systems software development experience - Strong C programming skills - Experience designing, debugging, and maintaining complex software stacks - Background with operating system interfaces for threads, process control, and virtual memory - Experience with HW/SW co-design, perf. modeling using emulation/simulation, creating SW programming model exposures for HW features - Expert interpersonal, verbal, and written communications skills with a capability to achieve objectives under tight deadlines - Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment Ways to stand out from the crowd: - You have an understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO - Designing and implementing drivers programming rich HW acceleration engines and software verification testplans. - Knowledge of CPU, GPU architectures, memory coherence and consistency models - Some background with kernel mode development - Some familiarity with C++ NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. 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 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 1, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Software Engineer, CUDA Deep Learning Syste...
We are looking for an experienced and highly motivated software professional to work on pioneering initiatives and projects at the intersection of CUDA and Deep Learning Systems. As the complexity and scale of artificial intelligence continue to grow, the intersection of advanced deep learning architectures, massive-scale distributed computing, and low-level hardware optimization has never been more critical. Our team is dedicated to exploring and prototyping next-generation ideas that bridge the gap between deep learning algorithms and CUDA, pushing the boundaries of what is possible on modern accelerator architectures. Join our dynamic, research-oriented team to help unlock maximum hardware performance for emerging AI workloads. You will be a crucial member of a highly technical group exploring uncharted territories in model optimization, custom kernel development, and cluster-scale AI systems design. If you are passionate about the fundamentals of deep learning and thrive on squeezing every ounce of performance out of advanced computing systems from a single GPU to supercomputer clusters, we want you on our team! What you will be doing: - Explore, research, and prototype novel systems optimizations for advanced deep learning models at the intersection of high-level DL frameworks and low-level CUDA through modeling, simulation, and silicon prototyping. - Architect and optimize distributed computing systems that scale seamlessly from a single node to massive, cluster-scale supercomputing environments. - Design, implement, and optimize custom high-performance CUDA kernels tailored to emerging neural network architectures and workloads. - Analyze complex hardware-software interactions to identify and resolve performance bottlenecks in both training and inference pipelines. - Collaborate closely with AI researchers, HW and SW architects, kernel and compiler authors and CUDA driver experts to co-design systems and algorithms that improve accelerator compute utilization, memory bandwidth, cross-node network communication efficiency and programmability. - Develop exploratory tools and runtime systems to profile and accelerate new paradigms in deep learning. - Write clean, effective, and maintainable code, ensuring exploratory prototypes can smoothly transition into open-source releases, upstream framework integrations, internal tools, or closed-source commercial products. What we need to see: - BS, MS, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience). - 8+ years of relevant industry experience or equivalent academic experience after degree achievement. - Strong proficiency in C++ and Python programming. - Solid background in the fundamentals of Deep Learning with a focus on transformers. - Strong understanding of distributed computing principles, multi-node scaling, and the unique performance challenges of cluster-scale execution. - Proven experience in systems programming, computer architecture, and low-level systems performance optimization. - Familiarity with deep learning accelerator architectures such as the GPU and hands-on experience with CUDA programming and kernel optimization. - A strong analytical approach with experience using profiling tools to deeply understand software performance on hardware. - Experience profiling and optimizing innovative vision models, generative AI architectures, or diffusion models. - Background in deep learning compilers, both graph-level and codegen (e.g., Triton, XLA, torch compile) Ways to stand out from the crowd: - Deep expertise in the performance internals and execution graphs of major deep learning autograd, training and inference frameworks (e.g., PyTorch, JAX, TensorRT, vLLM, sgLang, Nemo, Megatron, MaxText, etc.). - Hands-on experience with CUDA, communication libraries (e.g., NCCL, MPI, UCX) and distributed machine learning techniques (e.g., pipeline parallelism, tensor parallelism). - Knowledge of numerical methods, low-precision arithmetic (e.g., NVFP4, MXFP4, FP8, INT8), and their implications on deep learning model accuracy and performance. - Familiarity with systems requirements for Reinforcement Learning (RL) or highly parallel simulation environments and/or research background in machine learning systems or adjacent fields. - Experience with machine learning, especially agentic systems, applied to systems problems. 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 1, 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 Frameworks CUDA Software Engi...
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 looking for a motivated Deep Learning engineer to bring advanced CUDA features and Distributed Runtime technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the team that created core CUDA features and runtimes for scaling Deep Learning and HPC applications. Your customers will have diverse multi-GPU demands, ranging from training on scales up to 100K GPUs to inference down at microsecond latency. CUDA features improve both productivity and performance of AI applications. Your work in AI toolkits will accelerate enabling those for the community. This is an outstanding opportunity for someone with an AI background to advance the state of the art in this space. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: - Integrate new CUDA features and Runtime abstractions in AI frameworks: from PoC to performance analysis to production - Perform deep analysis of AI workloads and frameworks to identify requirements and opportunities to innovate in the lower layers of the stack. Collaborate hands-on with teams working on the latest AI models. - Own and drive improvements in the AI Compiler-Runtime interface to build speed-of-light multi-GPU multi-node solutions. - Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads. - Influence the roadmap of core CUDA to facilitate building next-gen DL frameworks. - Collaborate with a very dynamic team across multiple time zones. - Collaborate closely with AI researchers, HW and SW architects, kernel and compiler authors and CUDA driver experts to co-design systems and frameworks that enhance performance and programmability. - Develop exploratory tools and runtime systems to profile and accelerate new paradigms in deep learning. - Write clean, effective, and maintainable code, ensuring exploratory prototypes can smoothly transition into open-source releases, upstream framework integrations, internal tools, or closed-source commercial products. What we need to see: - BS, MS, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience). - 8+ years of relevant industry experience or equivalent academic experience after completed degree. - Development experience with Deep Learning Frameworks such PyTorch, JAX, and Inference Engines such as TRT-LLM, vLLM, SGLang - Rapid prototyping and development with Python, C++, CUDA or related DSLs - Solid grasp of AI models, parallelisms, and/or compiler technologies (e.g. torch.compile) - Experience conducting performance benchmarking on AI clusters. Familiarity with at least one performance profiler toolchain (PyTorch profiler, NVIDIA Nsight Systems) - Understanding of HPC/AI communication concepts - Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals) - Adaptability and passion to learn new frameworks and tools - Flexibility to work and communicate effectively across different teams and timezones Ways to stand out from the crowd: - Deep expertise in the performance internals and execution graphs of major deep learning autograd, training and inference frameworks (e.g., PyTorch, JAX, TensorRT, vLLM, sgLang, Nemo, Megatron, MaxText, etc.). - Hands-on experience with CUDA, specific communication libraries (e.g., NCCL, MPI, UCX) and distributed machine learning techniques (e.g., pipeline parallelism, tensor parallelism). - Expertise in one or more of these areas: Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton, cuTe, etc). - Background in deep learning compilers, both graph-level and codegen (e.g., Triton, XLA, torch compile) - Experience with programming for compute & communication overlap in distributed runtime 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 1, 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 QA Test Development Engineer - Dia...
NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and hard-working technical people across countries sounds exciting, this job is for you. NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise server integration, strong Linux experience, reliability testing with various telemetries, scale out cluster, test plan development, track record in developing AI tools and NLP, DevOps, CI/CD experience to join our platform SWQA team. What you’ll be doing: - Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc. - Installing and testing various systems OS, server firmware and SW stack. - Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation. - Build, develop/debug server and OS level automation front-end and back-end framework and tests - Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed. - Work in an agile software development team with very high production quality standards. - Manage bug lifecycle and collaborate with inter-groups to drive for solutions. What we need to see: - Bachelor’s Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field - 5+ years proven experience; or master’s degree. - Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript - Strong server and Linux(Ubuntu, RedHat, CentOS, SuSE, Fedora and etc…) troubleshooting and debugging experience in a bare-metal and KVM/VMWare/Hyper-V environment. - Good knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor and etc…), NLP and LLM benchmarking - Experience in using AI development tools for test plans creation, test cases development and test cases automation - Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus - Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker) – huge plus Ways to stand out from the crowd: - AI related tools, LLM and NLP. - Experience working with NVIDIA GPU hardware is a strong plus. - Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes) - Background in parallel programming ideally CUDA/OpenCL is a plus Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 1, 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 SDET Test Development Engineer
NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and hard-working technical people across countries sounds exciting, this job is for you. NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise server integration, strong Linux experience, reliability testing with various telemetries, scale out cluster, test plan development, track record in developing AI tools and NLP, DevOps, CI/CD experience to join our platform SWQA team. What you’ll be doing: - Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc. - Installing and testing various systems OS, server firmware and SW stack. - Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation. - Build, develop/debug server and OS level automation front-end and back-end framework and tests - Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed. - Work in an agile software development team with very high production quality standards. - Manage bug lifecycle and collaborate with inter-groups to drive for solutions. What we need to see: - Bachelor’s Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field - 5+ years proven experience; or master’s degree. - Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript - Strong server and Linux(Ubuntu, RedHat, CentOS, SuSE, Fedora and etc…) troubleshooting and debugging experience in a bare-metal and KVM/VMWare/Hyper-V environment. - Good knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor and etc…), NLP and LLM benchmarking - Experience in using AI development tools for test plans creation, test cases development and test cases automation - Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus - Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker) – huge plus Ways to stand out from the crowd: - AI related tools, LLM and NLP. - Experience working with NVIDIA GPU hardware is a strong plus. - Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes) - Background in parallel programming ideally CUDA/OpenCL is a plus With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 1, 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 Field Applications Engineer
We are currently seeking a Senior Field Applications Engineer to join our SA Team. At NVIDIA, we are leading the AI computing revolution, crafting innovative deep learning solutions that are transforming industries globally. As a member of our team, you will play a vital role in introducing our groundbreaking GPU products to various deployments, from data centers to edge computing. If you have a strong passion for system design and a successful history of engaging with customers on a technical level, this is an excellent opportunity for you to make a substantial contribution. What you'll be doing: - Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution until system Goes-live.. - Offer in-depth technical assistance to OEMs, Tier-1 suppliers, and design houses, ensuring ease of qualification and assisting in issues. - Work closely with customers on joint development initiatives, providing technical expertise to create tailored solutions that meet their requirements. - Perform detailed technical analysis, including circuit/board troubleshooting and FAR issue resolution, to ensure products meet customer criteria - Actively work towards achieving the Design Wins with Manufacturers - Develop technical solutions including hardware & software demos required for system designs. - Provide onsite support to solve hardware and software problems. - Be a technical specialist on NVIDIA Datacenter products - Establish strong communication channels and collaborative relationships with internal teams to ensure a positive end customer experience. What we need to see: - BS or MS in Engineering, Electrical Engineering or Computer Science (or equivalent experience). - 8+ years of work-related experience in the high-tech electronics industry, particularly in system design or FAE support roles. - Hands-on experience with hardware bring-up, board-level validation, or system qualification. Understanding of L1-L10 server test levels and how each stage maps to OEM qualification milestones - Knowledge of PCIe and other high-speed communication interfaces. Familiarity with BMC/IPMI, BIOS/UEFI, or system firmware debugging - Understanding of thermal design fundamentals and how component placement drives system temperatures - Exposure to AI or data centre infrastructure: understanding how GPUs fit into a rack, how cooling and power are provisioned, and how workloads are deployed, Capable of excelling in a dynamic, constantly evolving environment. - Remarkable talent for effectively managing multiple initiatives and priorities. Strong time-management and organizational skills for coordinating complex projects. - Excellent written and oral communication skills in English, with the ability to collaborate effectively with both Business and engineering teams. Ways to stand out from the crowd: - 8+ years of working experience in crafting systems / FAE Role. - In-depth understanding of CPU, GPU and server Baseboard Designs. - Experience with ARM and NVIDIA GPU development. - Track record of driving design wins or qualifications at OEMs or CSPs - Direct experience working with HGX, DGX, or MGX platform designs
Senior Product Marketing Manager, Desktop AI Produ...
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. This is an outstanding opportunity to bring incredible products to market at NVIDIA! As a Senior Product Marketing Manager, Desktop AI Products you'll own the go-to-market strategy for our desktop product lines, shaping how the world understands and embraces these technologies. Does this sound like a role you would get passionate about? If you thrive at the intersection of deep technical knowledge and market storytelling, then join us! What you’ll be doing: - Own product marketing and positioning of NVIDIA desktop products with precision - Lead cross-functional teams to execute business-critical go-to-market strategies, from planning through launch and post-launch optimization - Represent NVIDIA product and messaging to OEM and channel partners, ensuring consistent, compelling messaging across all partners - Collaborate alongside product, sales, and marketing teams to bring complex, first-of-kind technologies to market with clarity and impact - Train and coordinate NVIDIA regional sales alongside marketing teams to drive pipeline and sell-through. What we need to see: - 12+ overall years of experience in product marketing for highly technical products, with a track record of successful launches. - Ability to articulate value propositions to both technical and non-technical audiences with clarity - Deep familiarity with AI/ML technologies and the evolving landscape of AI-accelerated computing. - Bachelor's Degree or equivalent experience; MBA preferred Ways to stand out from the crowd: - Proven experience engaging with OEM, direct, and retail/etail channels, with a demonstrated history of measurable success. - Extensive experience in the PC and/or workstation industry with a deep understanding of market dynamics - Experience in software developer or technical marketing crafting AI models, tools, technologies and demos. - Demonstrated success in owning and growing a product line go to market activities, showcasing ambitious growth - Experience leading product launches at scale, including analyst and influencer relations, to amplify market impact. 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 5, and 224,000 USD - 356,500 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Deep Learning Performance Architect
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as “the AI computing company”, NVIDIA wants you. Come, join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field! What you'll be doing: - Develop innovative HW architectures to extend the state of the art in parallel computing performance and energy efficiency. - Benchmark and analyze AI workloads in single and multi-node configurations. - Develop tools to profile, analyze and debug parallel applications in Python/C++. - Work closely with peer architecture teams and product management to guide development of the products. - Keep abreast with emerging trends and research in deep learning. What we need to see: - B.Tech. or M.Tech. in a relevant discipline (CS, EE, Math). - 1+ years of experience in C, C++ and Python. - Curious mindset with excellent problem-solving skills. Ways To Stand Out From The Crowd: - Familiarity with GPU computing and parallel programming. - Understanding of modern transformer-based model architectures. - Experience with architecture simulator development, performance modeling, profiling, and analysis. LI-Hybrid
Senior Applied AI Researcher, Digital Biology
NVIDIA seeks innovative and driven Applied Researchers in deep learning. Ideal candidates possess a proven record of research success and a broad knowledge of artificial intelligence. They bring substantial expertise in machine learning, applied science, and computational medicine. NVIDIA is a global leader in AI-focused high-performance and mobile computing technologies and has ambitious goals for upcoming systems. This position allows you to influence real-world projects in a research-centered team at a dynamic organization. The Applied AI Architecture group focuses on applied research. As a member of the team, you will publish your work and make code available to the community. You will participate in an innovative initiative merging AI with biology. This collaborative effort targets the development of foundational and generative AI models plus agentic AI systems. It strives to deepen our knowledge of complex biological systems and advance diagnostics and scientific discovery. It also enhances NVIDIA’s Health Platform ecosystem. What You'll Be Doing: - Conceptualize, build, and implement novel deep learning architectures for biological data. Focus on large-scale models like Large Language Models (LLMs), Transformers, and State Space Models (SSMs). - Develop multimodal learning systems that integrate heterogeneous data types (e.g., clinical time-series, imaging, genomics, and text) for improved representation and prediction. - Develop both foundational and generative models along with agentic AI systems, encompassing multi-step reasoning, tool use, and autonomous decision-making abilities. - Develop digital twin systems for healthcare by integrating mechanistic models, physiological data, and AI to simulate disease progression, treatment response, and patient-specific trajectories. - Implement deep learning systems coordinated with agents, enabling end-to-end workflows that combine learning, planning, and execution. - Evaluate model performance, analyze results, and iterate on builds to achieve efficient outcomes. - Apply your knowledge of distributed training to build high-quality code for training, optimizing, and deploying large-scale models, while managing complex datasets. - Collaborate closely with a diverse team of researchers, bioinformaticians, and domain experts in a highly interdisciplinary environment. What We Need to See: - We are seeking individuals who have a solid background in deep learning and a demonstrated capability to turn innovative concepts into practical, scalable systems. - Advanced Degree (MS or PhD) in Machine Learning, Computer Science, Engineering, or a related field (or equivalent experience). - 8+ years of hands-on experience in developing, training, and deploying deep learning models at scale, including LLMs, Transformers, SSMs, and/or generative models. - Experience with multimodal learning and integrating diverse data modalities is highly valued. - Experience with agentic AI frameworks or systems (e.g., tool-augmented models, planning-based agents, or multi-agent systems) and strong expertise in distributed training, optimization, and inference. - Demonstrated capability to conduct independent research, develop effective solutions, and thoroughly assess outcomes. - Proven history of publications and presentations at leading conferences. - Solid programming abilities in Python and C++, accompanied by experience in PyTorch and/or CUDA. Ways To Stand Out From The Crowd: - Practical experience developing sophisticated AI systems, including agentic AI (RAG, tools, planning, multi-agent) and multimodal models that integrate vision, language, and structured/time-series data. - Demonstrated success improving large-scale ML systems, accompanied by experience in data pipelines and distributed frameworks for LLM-scale data. - Background in bioinformatics or digital biology, with experience working across interdisciplinary teams spanning research, engineering, and clinical domains. - Experience in developing or deploying digital twin systems, simulation frameworks, or data-driven modeling in healthcare or related fields is a strong plus. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 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.
Deep Learning Compiler CI/Infrastructure Engineer
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. In this role you will work closely with deep learning compiler engineers to own and evolve the CI/CD infrastructure that powers the development lifecycle of NVIDIA's deep learning compiler stacks. Responsibilities include designing and operating scalable CI systems that orchestrate ML workloads across diverse GPU and accelerator environments, deliver reliable correctness and performance signals, and serve as a primary technical point of contact for CI health, new project onboarding, and new architecture bring-up. What you'll be doing: - Build, maintain, and improve CI infrastructure that supports development, verification, and release of NVIDIA’s deep learning compiler stacks across GPU and accelerator environments - Improve CI reliability and signal quality by reducing flakes, improving reproducibility, strengthening diagnostics, and making correctness and performance failures easier to understand and act on - Apply automation, AI, and agent-based workflows to reduce manual CI operations, speed up failure triage, and improve developer efficiency - Build reusable and self-service CI platforms that support multiple products, projects, model suites, hardware targets, and software configurations while partnering closely with compiler, infrastructure, and release teams What we need to see: - BS, MS, or PhD (or equivalent experience) in Computer Science, Computer/Electrical Engineering, Mathematics, or a related field - 5+ years of experience designing, scaling, and operating CI/CD, build/release, or developer infrastructure for complex software systems - Proven experience building CI platforms end-to-end using systems such as GitLab CI, Jenkins, or similar tools, including pipeline orchestration, compute/runner management, artifact and package systems, and observability, with strong emphasis on reliability, reproducibility, and debuggability - Strong software engineering skills (Python required), with the ability to design, implement, and debug distributed systems end-to-end - Familiarity with edge devices (SOC, e.g. NVIDIA Tegra) in host-target architecture, ability to debug it and knowledge to its automation nuances - Proven track record of designing, building, and deploying AI/LLM-based systems in real engineering workflows, demonstrating skill in evaluating trade-offs, failure modes, maintainability, and measurable impact on developer productivity, signal quality, or operational efficiency Ways to stand out from the crowd: - Experience crafting and shipping sophisticated AI/agent-based systems that improve continuous integration or developer efficiency. These systems include intelligent test selection, automated triage and routing, regression localization, autonomous remediation, and developer-assist workflows - Experience operating CI for DL/GPU software environments, including multi-GPU / multi-node workloads on Slurm, Kubernetes, or cloud platforms - Familiarity with compiler IRs and infrastructure such as LLVM/MLIR, TensorRT IR, especially in the context of testing, debugging, and validating compiler-driven workloads 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.
Software Architect, Autonomous Vehicles - Backend...
Today, NVIDIA is harnessing the limitless potential of AI to define the next era of computing. Achieving what has never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll join a diverse, supportive environment where everyone is inspired to do their best work. We are looking for engineers to help develop and bring NVIDIA’s autonomous vehicle technologies to the world. In this role, you will contribute to a focused effort to develop and productize groundbreaking solutions that will transform transportation and advance the rapidly growing field of self-driving cars. You will collaborate with talented, dedicated cross-functional engineering teams across multiple subsystems to integrate their work into NVIDIA’s DRIVE software platform, while meeting or exceeding relevant NVIDIA and automotive standards and guidelines. You’ll find the work exciting, challenging, and significant. What You'll Be Doing: - In this role, you will collaborate with a diverse team of front-end and back-end developers, DevOps engineers, and machine learning experts. You will build applications/agents at the frontier of what is possible in AI today, gaining a front-row view of innovation in one of the most dynamic technology areas. - You will play an important role across the full development and release lifecycle, from AI agent, web API, and software architecture design to implementation, testing, and deployment. - Working alongside exceptional engineers, you will help build and maintain next-generation services, including AI agents, workflows, and more. - Learn, design, and deliver valuable features for end users that significantly improve the user experience of NVIDIA’s autonomous driving products. - Ensure high availability and quality of service for internal customers through operational excellence, while defining service level objectives (SLOs) and service level indicators (SLIs) to measure and represent service quality. What We Need to See: - BS, MS in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Data Science, Mathematics, or equivalent experience. - 5+ years of software development experience. - Proficiency with programming languages such as Go/Java/Python/C++ and proficiency in software development fundamentals. - Good understanding of distributed systems, microservice architecture and REST APIs. - Experience with container-based virtualization (e.g. Docker) and container orchestration (e.g. Kubernetes). - Excellent communication and collaboration abilities. - 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 employing Agentic AI to automate complex workflows. - Proficient in full-stack development. - Familiar with distributed computing, high-scalability and high-availability design, multithreading, and load balancing for high-performance server architectures. - In-depth knowledge of Automotive/IoT. - Strong problem-solving skills and a passion for learning and staying up to date with the latest trends in software engineering and technologies.
Senior HPC Support Engineer - Ethernet and AI Infr...
We are seeking a highly motivated Senior HPC Support Engineer – Ethernet / AI Infrastructure to be engaging with one of our prestige customers onsite and remote, passionate about data center and networking technologies, to provide comprehensive solutions for sophisticated installations, maintenance, or operations for a broad scope of groundbreaking networking products. You will act as the primary point of contact for this customer. You will spend a minimum of one week per month at the customer site in Memphis, TN, US, supporting technical questions, debugging, and issue resolution. As a member of our NVEX Global Technical Support team, you are a conscientious, proficient communicator who is fundamentally interested in taking ownership in resolving issues, while ensuring that a high level of customer satisfaction is maintained and delivered. Significant part of the role is also to collaborate with Engineering, Marketing, and Support teams regularly on technical issues. What you will be doing: - Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproductions, and solving problems for customers installing our products and supporting systems using Linux Operating Systems (multi-distro), with the focus on NVIDIA Ethernet Switching technologies and our End-to-End Solutions such as NVIDIA Spectrum-X. - Responding to customer product support inquiries via telephone, email or conference calls - Resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors - Participate in multi-functional team meetings and giving feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc. - As a technical resource develop, re-define and document standard methodologies to provide to internal teams(Support/R&D) for support process and improvements What we need to see: - 5+ years in providing in-depth Customer Support and debugging for hardware and software products. - An academic degree from an accredited university or college in Networking, Computer Science/Engineering, or Electrical/IT (or equivalent experience). - Shown use of established AI technologies in day-today job responsibilities. - Established knowledge of Enterprise platform and systems engineering who understands Linux triage, knowledge about servers and can resolve hardware and/or OS internal issues. - Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented including professional-level communication skills, interpersonal skills, with the ability to maintain and lead the overall resolution for any critical issue raised by our customer, under all circumstances. Profound knowledge and experience (solving) in the following skills: - Networking Technology, protocols and routing including TCP, UDP, Ethernet, IP, L2, L3 (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF), on Enterprise Level. - Linux OS including System Administration and Networking (LFCS / RHCSA) - Able to debug networking protocols using tools such as TCPDUMP and Wireshark or similar packet generation and analysis tools. - Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, deep learning frameworks, containers/containerization (i.e. Docker, Kubernetes) - Adoption of AI solutions like Cursor, Gemini, ChatGPT, Copilot, Glean, etc. in your daily work routine. Ways to stand out from the crowd: Knowledge and working experience with the following: - Experience in solving problems in large-scale networking and AI Infrastructure environments with overlay technologies (BGP, OSPF, VXLAN, EVPN), RoCE and QoS Concepts - Linux, Networking and NVIDIA AI Infrastructure and Operations Certifications such as CCONP, CCIE, JNCIE-DC/ENT, RHCE, LFCS, NCP-AII/AIO/AIN - Shell Scripting (Python, bash, Ansible, yaml, etc…) - Effective and comprehensive fixing / debugging methodology 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 108,000 USD - 172,500 USD for Level 3, and 120,000 USD - 207,000 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 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 Product Manager - Omniverse Rendering
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a Product Manager to drive product planning, roadmap definition, and execution for Omniverse rendering technologies, the ovrtx library, and sensor simulation workflows. This role sits at the intersection of real-time rendering, physically based simulation, synthetic data generation, robotics, autonomous systems, industrial digital twins, and physical AI. You will help develop the rendering and sensor simulation foundation that enables developers and enterprises to build high-fidelity virtual worlds, generate useful synthetic data, evaluate perception systems, and validate AI models before deployment in the real world. What You’ll Be Doing: Drive the product vision and roadmap for Omniverse rendering capabilities, ovrtx, and sensor simulation workflows. Define AI-ready simulation workflows for synthetic data generation, perception model evaluation, robotics simulation, autonomous systems validation, and digital twin testing. Translate customer needs into clear product requirements for rendering quality, sensor fidelity, performance, scalability, usability, and workflow integration. Partner with engineering teams on path tracing, ray tracing, materials, lighting, camera models, sensor realism, annotation outputs, and simulation pipeline architecture. Work with AI, robotics, computer vision, and simulation teams to align rendering and sensor simulation capabilities with model training, inference, testing, and evaluation needs. Drive roadmap requirements for scenario coverage, domain randomization, sensor configuration, sim-to-real validation, dataset generation, and automated quality checks. Explore AI-assisted workflows for scene generation, material authoring, lighting setup, sensor configuration, scenario creation, and developer productivity. Prioritize features across developer APIs, SDKs, tools, documentation, examples, integrations, and reference workflows. Work closely with customers, field teams, and ecosystem partners to understand production problems, adoption blockers, and emerging use cases. What We Need To See: BS or MS degree in Computer Science (or equivalent experience) with 12+ years of overall experience. 5+ years of product management, technical product management, engineering, solution architecture, or related experience. Strong understanding of real-time rendering, ray tracing, path tracing, physically based rendering, or GPU-accelerated graphics! Experience with simulation workflows, synthetic data, robotics, autonomous systems, computer vision, digital twins, or industrial simulation. Proven understanding of AI/ML workflows such as model training, inference, evaluation, perception pipelines, or synthetic data generation. Ability to translate AI, robotics, and autonomous systems requirements into rendering, sensor simulation, and developer platform priorities. Experience working with APIs, SDKs, developer tools, technical customers, and engineering-led product teams. Strong technical communication skills, including writing product requirements, roadmap narratives, workflow documentation, and launch materials. Consistent record to prioritize across complex technical domains and drive execution with multi-functional teams. Ways To Stand Out From The Crowd: Experience with Omniverse, OpenUSD, RTX, ovrtx, Isaac Sim, Cosmos, CUDA, or related NVIDIA simulation and rendering technologies! Familiarity with camera, LiDAR, radar, depth, segmentation, optical flow, event camera, or other simulated sensor modalities. Experience with physical AI, embodied AI, robotics foundation models, VLMs, world models, neural rendering, or generative AI for 3D/world creation. Background in graphics, computer vision, robotics, simulation, game engines, high-performance computing, or AI infrastructure. Familiarity with AI-assisted development workflows, coding agents, automated testing, evaluation harnesses, or workflow automation. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 208,000 USD – 327,750 USD for Level 5; and 240,000 USD – 379,500 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until 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.
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