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Developer Relations Manager, Higher Education and...
We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale. The ideal candidate brings deep technical credibility in foundational AI, strong research engagement experience, and hands-on expertise in either AI inference research or AI training research. What you'll be doing: - Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems. - Identify high-impact research workloads where NVIDIA software, systems, and accelerated computing platforms can advance model performance, scale, and efficiency. - Engage principal investigators, postdocs, graduate researchers, and lab leadership to understand research goals, technical blockers, infrastructure needs, and collaboration opportunities. - Track frontier AI research across papers, benchmarks, open-source projects, and academic labs to identify emerging trends and future platform opportunities. - Partner with Research Account Managers, Solution Architects, Product, Engineering, and Business Development teams to support researcher adoption and long-term engagement. - Represent researcher needs internally by translating academic feedback into actionable insights for product roadmaps, developer programs, education, and platform strategy. - Support NVIDIA participation in major AI, ML, and systems research venues through technical content, workshops, university engagements, and lab-facing programs. What we need to see: - PhD in Computer Science, AI, Machine Learning, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent research depth. - 5+ years of experience - Deep expertise in foundational AI, including LLMs, multimodal models, generative AI, reasoning, post-training, model evaluation, or AI systems research. - Strong understanding of modern AI model development across the lifecycle, including pretraining, fine-tuning, post-training, optimization, evaluation, deployment, and model serving. - Hands-on experience with AI research stacks such as PyTorch, JAX, distributed training frameworks, inference systems, model serving platforms, evaluation pipelines, and GPU-accelerated workflows. - Technical fluency in scalable AI systems, including distributed training, parallelism strategies, checkpointing, memory optimization, batching, scheduling, latency, throughput, and cost-performance tradeoffs. - Familiarity with methods that improve model efficiency and performance, such as quantization, distillation, sparsity, speculative decoding, attention optimization, synthetic data generation, RLHF/RLAIF, and preference optimization. - Ability to engage top academic labs on frontier research challenges, including scaling behavior, compute efficiency, model quality, benchmark methodology, reproducibility, reliability, and research impact. - Demonstrated research credibility through publications, open-source contributions, academic collaborations, technical leadership, or direct work on frontier AI systems. Ways to stand out from the crowd: - Experience with NVIDIA AI platforms, including CUDA, CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NIM, NeMo, Megatron, Transformer Engine, NCCL, DGX, NVLink, InfiniBand, or NVIDIA AI Enterprise. - Established relationships with leading AI labs, academic institutions, research institutes, benchmark communities, or major open-source AI projects. - Track record translating frontier AI research into demos, tutorials, reference architectures, workshops, technical blogs, or developer enablement programs. - Experience presenting at venues such as NeurIPS, ICML, ICLR, CVPR, AAAI , or related research workshops. - Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth. NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer! 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 May 24, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Deep Learning Communication Architect
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. What You'll Be Doing: - The software architecture group at NVIDIA has openings for a Deep Learning Communication Architect. We scale the DNN models and training/inference frameworks to systems with hundreds of thousands of nodes. - Optimizing communication performance: Identify and eliminate bottlenecks in data transfer and synchronization during distributed deep learning training and inference. - Designing efficient communication protocols: Develop and implement communication algorithms and protocols tailored for deep learning workloads, minimizing communication overhead and latency. - Hardware and software co-craft: Collaborate with hardware and software teams to craft systems that effectively apply high-speed interconnects (e.g., NVLink, InfiniBand, SPC-X) and communication libraries (e.g., MPI, NCCL, UCX, UCC, NVSHMEM). - Exploring innovative communication technologies: Research and evaluate new communication technologies and techniques to enhance the performance and scalability of deep learning systems. - Developing and implementing solutions: Build proofs-of-concept, conduct experiments, and perform quantitative modeling to validate and deploy new communication strategies. What We Need to See: - A Ph.D., Masters, or BS in Computer Science (CS), Electrical Engineering (EE), Computer Science and Electrical Engineering (CSEE), or a closely related field or equivalent experience. - 6+ years of experience in Building DNNs, Scaling of DNNs, Parallelism of DNN frameworks, or deep learning training and inference workloads. - Experience in evaluating, analyzing, and optimizing LLM training and inference performance of state-of-the-art models on cutting-edge hardware. - Deep understanding of parallelism techniques, including Data Parallelism, Pipeline Parallelism, Tensor Parallelism, Expert Parallelism, and FSDP. - Understanding of the emerging serving architectures like Disaggregated Serving and inference servers like Dynamo and Triton - Proficiency in developing code for one or more deep neural network (DNN) training and Inference frameworks, such as PyTorch, TensorRT-LLM, vLLM, SGLang. - Strong programming skills in C++ and Python. - Familiarity with GPU computing, including CUDA and OpenCL, and familiarity with InfiniBand and RoCE networks. CUDA and OpenCL, and familiarity with InfiniBand and RoCE networks. Ways to Stand Out from the Crowd: - Prior contributions to one or more DNN training and Inference frameworks as part of your previous work experience. - Deep understanding and contributions to the scaling of LLMs on large-scale systems. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 May 24, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.
Developer Advocate – Robotics and Physical AI
NVIDIA’s accelerated computing ecosystem thrives on deep engagement with developers. We offer a wide range of libraries, tools, APIs, and frameworks to help developers achieve faster results and optimize energy consumption. We are looking for a Developer Advocate on Physical AI and Robotics with a passion for Robotics, Embedded devices, and AI. This role is pivotal in helping developers craft the next generation of intelligent robots. Your responsibilities will include crafting compelling demos, sharing code and how-to guides, and connecting with the developer community on a deeper level. We aim to expand the developer network by building applications on NVIDIA’s platform, including Isaac Sim, Isaac Lab, Newton, and MJWarp. The platform uses NVIDIA and other ecosystem tools. We need a candidate who understands developers and collaborates with marketing to launch innovative technology. What You’ll Be Doing: - Crafting engaging, developer-focused materials such as demos, blogs, presentations, and videos. - Connecting with developers, researchers, and students at both online and in-person events. - Developing and deploying the complete robotics lifecycle, from simulation to validation and final deployment on physical platforms using NVIDIA GPUs. - Combining robotics applications with Generative AI, using widely-adopted tools and frameworks. - Defining strategic roadmaps for content and events, providing mentorship and ensuring successful outcomes across different organizations. - Collaborating with engineering, product management, and marketing teams to identify high-impact developer needs and build technical solutions. What We Need To See: - Bachelor’s, Master’s, or Ph.D. in Computer Science, Software Engineering, Robotics, or a related technical area (or equivalent experience). - 8+ years of professional experience in Software Engineering, Application Engineering, Robotics, or embedded devices. - Proven experience developing applications for various robotic platforms including humanoids, wheeled robots, quadrupeds, and UAVs. - Established experience in communicating complex technical subjects to engineers and producing developer-focused content. - Hands-on experience with tools and frameworks such as ROS, OpenCV, NVIDIA JetPack, MuJoCo Warp, Newton, Isaac Sim, and PyTorch. - Solid knowledge or hands-on experience with contemporary AI, particularly Generative AI, to tackle challenges in robotics using agentic AI workflow. - A proactive, adaptable, and collaborative teammate. Passionate about developing new technologies in a dynamic environment with the latest technology. - Understanding of evangelism and how to effectively engage with developer communities. Ways To Stand Out From The Crowd: - Experience with Generative AI tools and frameworks used in the Physical AI community. - Skilled in crafting technical content, like blog posts, tutorial videos with a strong technical background including research publications. - Active involvement in developer communities. Experience in running events, webinars, hackathons, or peer-reviewed submissions is a plus. - Self-motivated individual capable of prioritizing tasks according to mission goals. - Strong communication abilities in front of large audiences. The capability to tell stories and write succinctly while explaining complex ideas clearly is highly valued. 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 May 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Quantum AI Research Scientist, Applied Rese...
At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a passionate AI research scientist with deep quantum computing expertise to path-find the future of fault-tolerant quantum systems powered by machine learning. Quantum computing is a strategic priority for NVIDIA, and our goal is to accelerate the entire ecosystem. As a Sr. Applied Research Scientist in Quantum Computing, you will architect and build AI solutions at the heart of fault-tolerant quantum computing—spanning quantum error correction, decoding, calibration, and beyond. You will research and develop open AI models, curated datasets, and rigorous benchmarks that advance the state of the art and empower the broader quantum community. Your research will help translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, while collaborating with multi-functional teams across Product, Engineering, and Applied Research to integrate AI into next-generation Accelerated Quantum Supercomputers! Do you love developing new technology, enjoy working with collaborative people and teams around the world, and operating at the speed of light? If yes, we would love to hear from you! What you'll be doing: Design and architect AI/ML models—including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents—for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems. Develop cutting-edge AI techniques for quantum computing that contribute to NVIDIA's open model efforts across the quantum ecosystem. Help create high-quality, large-scale datasets for quantum error correction and quantum system characterization, including simulated and hardware-derived syndrome data, enabling the community to train and evaluate AI models at scale. Collaborate with quantum hardware teams to collect and structure hardware-derived training data, enabling domain-adapted models that improve over time as hardware matures. Co-design AI solutions with quantum hardware and software teams, ensuring decoders and calibration models meet latency and throughput requirements for real-time operation inside fault-tolerant feedback loops. Communicate research findings through top-tier venues and collaborate with academic and industry partners to advance the field, while championing a culture of rapid innovation, technical depth, and creative problem solving. What we need to see: Degree in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a related field (Ph.D. strongly preferred); equivalent demonstrated experience also considered. 8+ years of combined experience in quantum computing and/or AI/ML research, with a track record of high-impact contributions in at least one of these domains. Deep expertise in machine learning and deep learning—including model architecture design, training at scale, and evaluation—applied to scientific or engineering problems. Strong background in Quantum Information Science, including quantum error correction, fault-tolerant protocols, and quantum noise models. Excellent communication skills and the ability to collaborate effectively with multi-functional teams across research, engineering, and product. Ways to stand out from the crowd: Hands-on experience developing learned decoders or AI-driven calibration systems for quantum hardware (superconducting qubits, trapped ions, or other platforms). Experience with large-scale model training and fine-tuning—including parameter-efficient fine-tuning (LoRA, QLoRA, adapters) and domain adaptation for scientific AI models. Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, AI model training, or real-time decoding workloads. Experience with high-performance computing (HPC) environments and distributed training frameworks (e.g., PyTorch Distributed, Megatron-LM, or JAX pmap) for large-scale quantum AI workloads. Passion to drive AI innovations into NVIDIA software and hardware products that support the broader quantum computing ecosystem. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ #LI-Hybrid Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 192,000 USD – 304,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Principal Machine Learning Engineer, Accelerated A...
NVIDIA is looking for a Machine Learning (ML) Engineer to join the GPU accelerated Apache Spark team. Apache Spark is the most popular data processing engine in data centers for running large scale workloads for ETL, SQL, and ML/DL model training and inference pipelines, spanning many domains and use cases. NVIDIA GPUs offer a promising avenue for significantly speeding up and/or lowering the cost of running Apache Spark applications at massive scales. You will work with the open source community to accelerate Apache Spark with GPUs. You will apply the latest ML/AI methods to empower enterprises to migrate Spark workloads onto GPUs at scale. What you’ll be doing: - Design and implement machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads. - Develop advanced algorithms and adaptive systems to continuously improve the performance of Apache Spark workloads on GPUs. - Develop AI-based agents and tools to assist with fixing system issues and application optimization. - Collaborate with key partners and customers on the deployment of complex machine learning solutions in various environments. - Maintain deep domain expertise by knowing the latest published advances in ML systems and algorithms. - Provide technical mentorship and leadership in data science and machine learning to a team of engineers. What we need to see: - BS, MS, or PhD or equivalent experience in Machine Learning, Data Science, Computer Science or a closely related field. - 12+ years of professional experience in designing, implementing, and productionizing high-quality ML/DL solutions. - 5+ experience as technical lead in ML model development. - Proven hands-on experience (2+ years) with large-scale data processing platforms, such as Apache Spark. - Proven ability to employ modern tooling and sound techniques for all aspects of crafting, deploying, and maintaining machine learning models. - Excellent programming skills in Python and Python data science related libraries like numpy, pandas, scikit-learn, scipy, pytorch, and tensorflow. - Deep experience with sophisticated ML methodologies, including LLM/GenAI, reinforcement learning, and adaptive, on-line ML systems. - Strong expertise in feature engineering, feature importance assessment, and developing boosted tree model solutions (e.g., XGBoost). Ways to stand out from the crowd: - Understanding of the internal workings and architecture related to Apache Spark. - Familiarity with NVIDIA GPUs and CUDA. - Experience coding in Scala, Java, and/or C++. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. If you are passionate about what you do, 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 May 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Developer Technology Engineer - Windows AI...
At NVIDIA, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. As a Developer Technology Engineer, you will be at the forefront of innovation, working with leading industry partners and exciting OSS projects to help them adopt groundbreaking advancements in AI and accelerated computing on NVIDIA RTX. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the next era of enterprise and consumer AI. What you'll be doing: - Work closely with internal engineering and product teams and external app developers on solving local end-to-end AI GPU deployment challenges on the NVIDIA RTX AI platform. - Apply powerful profiling and debugging tools for analyzing most demanding GPU-accelerated end-to-end AI applications to detect insufficient GPU utilization resulting in suboptimal runtime performance. - Conduct hands-on trainings, develop sample code and host presentations to give good guidance on efficient end-to-end AI deployment targeting optimal runtime performance on NVIDIA ARM-based SoCs. - Improve Windows LLM & GenAI user experience on NVIDIA RTX by working on feature and performance enhancements of OSS software, including but not limited to projects like GGML, Llama.cpp, Ollama, ONNX Runtime. - Collaborate with GPU driver and architecture teams as well as NVIDIA research to influence next generation GPU features by providing real-world workflows and giving feedback on partner and customer needs. - Providing technical leadership and mentorship to junior engineers, encouraging an inclusive and high-performing team environment. What we need to see: - A proven track record of 8+ years of professional experience in local GPU deployment, profiling and optimization. - Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field. - Strong proficiency in C/C++, Python, software design, programming techniques.. - Familiarity with and development experience on the Windows operating system. - Experience working with open-source LLM and GenAI software. - Experience with CUDA and NVIDIA's Nsight GPU profiling and debugging suite. - Some travel is required for conferences and for on-site visits with external partners. - Strong problem-solving skills and the ability to work both independently and collaboratively in a fast-paced environment. - Excellent interpersonal and communication skills and a passion for keeping track with the latest advancements in AI technology. Ways to stand out from the crowd: - Experience with GPU-accelerated AI inference driven by NVIDIA APIs, specifically cuDNN, CUTLASS, TensorRT. - Confirmed expert knowledge in Vulkan and / or DX12. - Detailed knowledge of the latest generation GPU architectures. - Experience with AI deployment on NPUs and ARM architectures. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 May 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Perception Engineer, Obstacle Foundation Mo...
Intelligent machines powered by artificial intelligence—computers that can learn, reason, and interact with people—are transforming every industry. GPU-accelerated deep learning provides the foundation for machines to perceive, reason, and solve complex problems. NVIDIA GPUs run deep learning algorithms that simulate aspects of human intelligence, acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We are seeking an exceptional Senior Perception Engineer to help design and productize NVIDIA’s next-generation autonomous driving perception stack. You will work on the core 3D obstacle perception pipeline, contribute to architecture and algorithm design, and remain deeply hands-on with implementation, including modern transformer-based, multi-modal, and vision-language techniques where they add real value. What you’ll be doing: - Develop and improve the technical design, architecture, and roadmap for 3D obstacle perception to support end-to-end autonomous driving functionalities, leveraging state-of-the-art CNN and transformer-based architectures where appropriate. - Design and implement advanced 3D perception models using multi-camera inputs and/or multi-sensor fusion (camera, radar, lidar) for obstacle detection and tracking, including opportunities to explore BEV and transformer-based 3D perception. - Build efficient, production-grade deep learning models: define objectives with the team, select and prototype architectures, run experiments, and follow best practices for training and evaluation, using techniques such as large-scale pretraining, distillation, and parameter-efficient fine-tuning (e.g., LoRA). - Help define and maintain KPI frameworks to quantify perception performance; analyze large-scale real and synthetic datasets to identify failure modes and systematically improve accuracy, robustness, and efficiency, incorporating approaches like self-supervised and representation learning when beneficial. - Contribute to the data strategy for perception: specify data and labeling requirements, help prioritize data collection and annotation, and collaborate with data and ground-truth teams, including model-assisted workflows (e.g., active learning, auto-labeling, vision-language models (VLMs)) and model-in-the-loop tooling. - Collaborate with safety, systems, and software teams to ensure perception solutions meet product requirements for safety, latency, resource usage, and software robustness, and are ready for deployment at scale. What we need to see: - PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. - Hands-on experience developing deep learning–based perception or closely related systems for complex real-world problems, with strong proficiency in frameworks such as PyTorch and a track record of taking models from prototype to production. - Proven experience in data-driven development, including close collaboration with data, labeling, and ground-truth teams on data strategy, labeling quality, and iterative model improvement. - Strong programming skills in Python and/or C++, with experience building reliable, high-performance, production-quality software. - Excellent communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Ways to stand out from the crowd: - Experience designing and deploying perception solutions for autonomous driving or robotics using camera-based deep learning at scale. - Hands-on experience architecting and deploying DNN-based perception pipelines on embedded or real-time platforms, including optimization for latency, memory, and compute constraints, and experience with modern architectures such as CNNs and transformers, plus familiarity with techniques like large-scale pretraining, parameter-efficient fine-tuning (e.g., LoRA), or vision-language models (VLMs). - Strong publication record or recognized contributions in deep learning, computer vision, or autonomous systems at leading conferences/journals (e.g., CVPR, ICCV, NeurIPS, IROS). - Deep understanding of 3D computer vision fundamentals, including camera modeling and calibration (intrinsic and extrinsic), multi-view geometry, and 3D representations, ideally with experience applying these concepts in transformer-based 3D or BEV perception pipelines. - Experience with CUDA development and optimizing training or inference pipelines through custom CUDA kernels or other GPU-accelerated components. 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 May 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior CPU Performance Architect
Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team and help us push performance boundaries for all our CPU products! What you'll be doing : - Study workloads for a wide range of markets, including CSP, HPC, AI / DL , and autonomous vehicles. - Develop infrastructure to visualize CPU performance bottlenecks on important workloads. - Develop performance analysis tools. - Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems. - Work with CPU architects to improve future CPU and system designs based on your findings. What we need to see: - BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience. - Experience with data visualization techniques and Python programming . - Familiarity with compiler concepts . - Understanding of modern web development technologies ( JavaScript , D3 , and Django) and modern software development methodologies (CI/CD). - 12+ years of relevant experience. - Experience with CPU workloads and performance analysis. - Knowledge of CPU microarchitecture. Ways to stand out from the crowd: - PhD or research experience - Experience with performance programming and software optimization. - Knowledge of GPU-accelerated workloads. - Experience with Kubernetes, enterprise security protocols, and SQLite. NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries — from robotics and autonomous vehicles to healthcare and climate research . With the introduction of the Grace CPU Superchip , and more recently, the announcement of the Vera CPU , NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA’s broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until May 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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 Engineering Intern, Robot Learning Platfo...
Join us at NVIDIA as we redefine the future of robotics and AI! Our Isaac Lab team is on a mission to propel our flagship platform for robot learning to new heights. This is an outstanding chance to be part of an ambitious, world-class team pushing the boundaries of what's possible in autonomous systems training. You'll be immersed in a diverse and encouraging environment where innovation and collaboration are at the forefront. What you will be doing: - Develop innovative features for our platform, such as perception-in-the-loop reinforcement learning, multi-agent / multi-task learning, VLA and RL integration. - Participate in the open-source development of Isaac Lab, engaging with the robotics industrial and research communities. - Scale training massively in the cloud while ensuring flawless performance through extensive benchmarking, profiling, and optimizations. - Collaborate with research and engineering teams across NVIDIA to enable brand new research for the next generation of humanoid robots. What we need to see: - Currently pursuing an MS or PhD degree in Computer Science, Robotics, or a related field. - Extensive experience in software development with Python and deep-learning software stacks like Pytorch, Tensorflow, or Jax. - Proven experience in robotics and simulation workflows, including reinforcement learning, imitation learning, motion planning, and trajectory optimization. Ways to stand out from the crowd: - Prior experience with Isaac Sim, Isaac Lab, Isaac Gym, or Mujoco. - Successfully trained a robot in simulation and deployed the policy sim-to-real. - Publications in major AI and robotics conferences.
Manager, Software Engineering – Networking Managem...
NVIDIA is seeking a Software Engineering Manager to lead a high-performing software engineering team developing advanced networking management tools that power the next generation of AI and Machine Learning infrastructure. In this role, you will drive execution across complex, cross-functional initiatives spanning software, networking, infrastructure, and system engineering teams. You will be responsible for delivering scalable, reliable, and high-performance management solutions that enable seamless operation of NVIDIA’s cutting-edge ML platforms at scale. This is a highly visible leadership role requiring a combination of strong technical depth, organizational leadership, and execution excellence. You will influence architecture, product direction, engineering processes, and team growth while helping shape technologies at the forefront of AI infrastructure innovation. What You’ll Be Doing: - Lead and grow a team of software engineers developing next-generation networking management and orchestration tools - Own execution and delivery of major cross-functional initiatives involving multiple engineering teams and stakeholders - Drive technical strategy, architecture decisions, and long-term roadmap planning for networking management solutions - Partner closely with software, networking, firmware, hardware, DevOps, and system architecture teams to deliver scalable and reliable solutions - Establish engineering best practices, operational excellence, and high development standards across the team - Mentor engineering leaders and senior engineers, fostering technical growth and leadership development - Balance technical leadership with organizational execution in a fast-paced and rapidly evolving environment - Provide hands-on technical guidance, debugging support, and architectural direction when required What We Need to See: - Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience - 8+ overall years of software industry experience, including 3+ years managing software engineering teams - Proven experience leading complex, large-scale software projects across multiple teams and disciplines - Strong software development background in C/C++ - Demonstrated ability to drive execution, resolve ambiguity, and deliver high-quality products in fast-paced environments - Strong system-level thinking and problem-solving skills - Excellent communication, collaboration, and stakeholder management skills - Proven ability to influence technical direction and organizational priorities Ways to Stand Out from the Crowd: - Experience with Linux, networking technologies, or distributed systems - Experience building infrastructure, management, orchestration, or observability platforms - Experience leading geographically distributed or multi-disciplinary engineering teams - Background in AI/ML infrastructure, datacenter technologies, or high-performance computing environments - Experience scaling organizations, mentoring managers or technical leaders, and driving organizational maturity
Senior Signal and Power Integrity Engineer
We are now looking for Senior Signal & Power Integrity 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. This is a dynamic team working with state of the art, unique technology. If you are someone that loves a challenge, come join this diverse team and help move the needle! What you'll be doing: - Drive board/system level signal and power integrity requirements - Lead board/system SI/PI design activities, including PCB stackup/material selection, design guide implementation, layout review, and post-layout analysis - Work closely with Architecture, ASIC, Mixed Signal, Package, and PCB Design teams to design and ensure system SI/PI performance meets expectation before Gerber out, also work closely with Design Validation teams to support SI/PI failure analysis - Develop novel algorithms & new methodologies to improve SI/PI modeling efforts - Work with Application Engineering teams to support customers w/ SI/PI questions - VNA & TDR measurements to support model correlation efforts and improve confidence in design stage What we need to see: - MS/BS in EE or equivalent experience - Minimum 3+ years of experience as a SI/PI engineer - Deep understanding of electromagnetics, specifically electromagnetic waves including transmission line theory and via properties - Proficient with HFSS, Sigrity, Hspice, and/or other simulation tools - Experienced with Cadence Allegro PCB designer and Constraints Manager - Understanding of high volume manufacturing variations and impact to channel signal integrity - Exposure to lab measurements including VNA & TDR experience - Passionate about SI/PI work - Good written & verbal interpersonal skills in English Ways to stand out from the crowd: - Familiarity with NRZ/PAM-4 signaling schemes - Exposure to interface timing budgets and system modeling - Familiarity with high-speed I/O design concepts including clock generation, transmitter & receiver design, and equalization schemes - PDN analyses including model generation and time domain simulation - Experience w/ Matlab, Python, and C as well as exposure to package design
Applied AI Engineer - Silicon Co-Design Group
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's Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate innovative AI solutions into the design and automation infrastructure that powers our chips. 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 rebuilding that toolchain around AI, and we're looking for the engineer to lead that charge. In this role, you will architect and implement solutions that enhance the efficiency, scalability, and intelligence of our workflows, driving initiatives from concept to deployment. If you combine deep technical expertise with a hands-on approach and an aim to push the boundaries of what's possible, this is your opportunity. At NVIDIA, we strive for perfection, encourage innovation, and provide opportunities to explore new ways to succeed! What you'll be doing: - Designing and implementing AI/LLM-powered systems to improve post-silicon validation, automation, and workflow efficiency within semiconductor validation environments. - Collaborating with multi-functional engineering teams to find opportunities for AI integration and performance optimization. - Evaluating emerging frameworks, architectures, and tools to improve efficiencies powered by artificial intelligence across the organization. - Establish and maintain data-driven indicators to quantify AI impact, identify performance gaps, and drive continuous improvement across systems. What we need to see: - BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field, with 5+ years of hands-on experience building and deploying ML/AI systems or data-intensive backend services. - 2+ years of direct Applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end-to-end — from prototype through production deployment. - Strong Python skills and proficiency in at least one static language such as C, C++, C#, Java, or Scala. - Demonstrated experience with deep learning frameworks like PyTorch or TensorFlow, and hands-on experience with agentic and orchestration tools including NeMo Agent Toolkit, LangChain , Semantic Kernel, AutoGen , CrewAI , or n8n. - Proven track record with deploying, monitoring, and debugging scalable AI/ML models. - Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and a solid understanding of firmware/driver structures and hardware interaction. - Ability to balance multiple simultaneous projects. - Excellent problem-solving, communication, and collaboration skills. Ways to stand out from the crowd: - Familiarity with modern AI technologies and methodologies for crafting and launching LLMs with ability to translate innovative AI research into practical, high-impact production tools. - Experience with building and deploying orchestration agents managing hundreds to thousands of tools. - Hands-on experience with silicon bring-up, characterization, or lab debug using standard tools (e.g., oscilloscopes, multimeters, logic analyzers). - Experience working within a silicon development environment, with exposure to chip and system characterization methodologies, process variation, statistical error rates, or advanced timing/power analysis. - Experience debugging complex system-level issues involving HW/SW interactions, including leadership or ownership in driving root cause analysis of silicon or feature-level issues. 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, Infiniband and Network...
NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you'll be doing: - Primary responsibilities will include building AI/HPC infrastructure for new and existing customers. - Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting. - Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement. - Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. - Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: - BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. - At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture - Proficiency in configuring, testing, validating, and resolving issues in LAN and InfiniBand networks, especially in medium to large-scale HPC/AI environments. - Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols. - Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS. - Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python. - Ability to develop CI/CD pipelines for network operations. - Strong focus on customer needs and satisfaction. - Self-motivated with leadership skills to work collaboratively with customers and internal teams. - Strong written, verbal, and listening skills in English and Japanese are essential. Ways to stand out from the crowd: - Familiarity with cloud networks (AWS, GCP, Azure) is a plus. - Linux or Networking Certifications. - Experience with High-performance computing architectures. Understanding of how job schedulers(Slurm, PBS) work. - luster management technologies knowledge (bonus credit for BCM (Base Command Manager).) - Experience with GPU (Graphics Processing Unit) focused hardware/software.
Manager, Software Engineering – Network Simulation...
NVIDIA is seeking a Software Engineering Manager to lead a team developing advanced network simulation and testing software for next-generation AI and Machine Learning infrastructure. In this role, you will lead the development of tools and frameworks used to simulate, validate, and test networking environments at scale. These solutions play a critical role in ensuring the reliability, performance, and scalability of NVIDIA networking technologies powering cutting-edge ML and datacenter platforms. You will work closely with software, networking, QA, and infrastructure teams to deliver robust simulation and automation capabilities in highly complex environments. This position offers the opportunity to contribute to technologies shaping the future of AI infrastructure within a fast-paced and innovative organization. What You’ll Be Doing: - Lead and manage a team of software engineers developing network simulation and testing solutions - Drive the design and development of scalable simulation environments and automated testing frameworks - Collaborate with networking, software, QA, and infrastructure teams to validate next-generation networking technologies - Support development and debugging activities across complex simulated environments - Improve development workflows, CI/CD processes, automation, and software quality practices - Mentor engineers and foster a strong technical and collaborative team culture - Contribute to technical decision-making, prioritization, and execution planning What We Need to See: - Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience - 8+ overall years of software industry experience, including 3+ years of experience in leading or managing engineering teams - Strong programming experience in Python and/or C/C++ - Experience developing automation, simulation, or testing frameworks - Experience with Linux development environments - Familiarity with DevOps methodologies, CI/CD pipelines, and automation tools - Strong debugging, problem-solving, and analytical skills - Ability to learn quickly and work effectively in a fast-paced environment - Strong communication and collaboration skills Ways to Stand Out from the Crowd: - Experience with networking technologies and protocols - Experience building simulation environments or large-scale automated test systems - Familiarity with containerized environments and orchestration technologies - Experience with infrastructure automation and monitoring tools - Background in AI/ML infrastructure, datacenter technologies, or distributed systems
Senior Developer Relations Manager- GenAI
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 Agentic AI, Generative AI and AI Models for multimodality data & models. Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in Sovereign AI, with cross-functional partners to drive adoption of NVIDIA technologies. - Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, platforms, and pipelines. - Guide partners through onboarding and integration by providing technical resources—such as sample code, guides, and demo pipelines—to accelerate Sovereign AI-specific technology adoption and foster co-innovation of next-generation solutions. - Map and monitor the developer ecosystem to identify growth opportunities, collaborating with engineering, product management, and marketing to inform roadmaps and optimize partner adoption strategies. - Engage partner technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams. - Deep understanding of Sovereign AI Technology and Use Cases enabling both governments and enterprises adopters. - Discover new workflows, identify blockers to ISV adoption, and report back to the product teams. - Collaborate with NVIDIA partner managers, solution architects, industry business development managers, local and regional Sovereign AI entities, sales and marketing. - We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful. What we need to see: - Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field. - A minimum of 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 Agentic AI, Gen AI, LLMs and VLM in Enterprise-scale ISV software development, government workflow etc. - Proven experience leading, partnering, scaling developer programs at major technology companies, and ISVs, or within relevant verticals. - Significant technical depth in Agentic AI, Gen AI, LLMs and VLM software including for areas such as smart cities, healthcare, citizen services robotics, cloud and AI/ML and contributions to product integrations and software libraries. - Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops - Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators (across sales, legal, product or marketing teams as needed). - Skilled at distilling complex technical concepts for audiences from engineers to executives, with end-to-end experience in defining, integrating, building, and jointly marketing solutions with strategic ISV partners. - Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders. - Handson experience with software architecture design, implementation and programming skills - Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome-oriented activities and empathy for developers - Experience creating or optimizing vertical-specific technical solutions using Agentic AI, Gen AI, LLMs and VLM for software workflows Ways to stand out from the crowd: - Hands-on familiarity with advanced computing, AI, and/or GPU acceleration platforms, NVIDIA AI platforms & frameworks such as NEMO Framework, TRT, TRITON, Nemotron Models, RAPIDS, CUDA etc along with vertical specific model/algorithm optimization skills - Successful history of building and scaling developer communities and delivering impactful technical enablement programs. - Skilled in developing systems and tools to measure developer sentiment and track market trends, turning ecosystem insights into practical recommendations that guide product direction and strategic planning in Sovereign AI space - Expertise in building frameworks to capture developer sentiment and market shifts, translating real-time ecosystem dynamics into actionable intelligence for industry strategy and product rationalization in Agentic AI, Gen AI, LLMs and VLM for Sovereign AI and Government/Citizen services centric workflows - Background with cloud-based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques. With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Senior Applied AI Engineer
NVIDIA has been transforming accelerated computing with innovation that’s fueled by great technology—and amazing people. As part of Nvidia's applied AI team for chip design, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of the chip industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation. What you'll be doing: - Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools. - Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale. - Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence. - Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization. What we need to see: - MS or higher degree in Computer Science, Engineering, AI, or a related technical field, with 5+ years of hands-on software engineering experience building production-grade software systems, and demonstrated experience shipping AI/LLM-powered applications, agents, or automation workflows into real production environments. - Strong Python engineering skills are preferred, with the ability to design, prototype, and productionize AI-enabled services, APIs, integrations, automation workflows, and internal tools. - Practical experience building LLM-powered agents or agentic workflows, with hands-on use of Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or equivalent coding agents to improve real software development workflows. - Solid software engineering fundamentals and production mindset, including system design, API design, testing, CI/CD, code quality, observability, security, databases, containers, and distributed or event-driven systems. - Ability to identify repetitive, high-friction, or knowledge-intensive workflows and turn them into practical AI-enabled tools, automations, or assistants that improve productivity and operational efficiency. - Demonstrated end-to-end ownership of engineering solutions, from architecture and development to deployment, integration, and ongoing operations/support. - Excellent communication skills and a collaborative, proactive approach. Ways to stand out from the crowd: - Strong ability to connect AI applications and agents with existing systems, services, databases, documentation, codebases, and enterprise workflows in a secure, reliable, and maintainable way. Experience with emerging integration patterns such as MCP, Skills, or similar frameworks is a plus. NVIDIA is widely recognized as one of the world’s most desirable employers. We bring together some of the most innovative and dedicated minds in the industry. Are you a creative and driven engineer ready for your next challenge? Join our AI Infrastructure team and help build the future of accelerated computing and chip design. LI-Hybrid
Senior VLSI Program Manager
NVIDIA, a leader in high-performance computing and machine learning, seeks a Senior VLSI program manager with technical skills for the Networking VLSI team. This role involves program management of our Network adapters and our Switch products, contributing to next-gen data centers. The VLSI management team within NVIDIA's Networking Business division is looking for an experienced Program Manager to join its’ team. The Program Manager will oversee the planning, execution, and end-to-end tracking of VLSI activities across various professional functions and organizations. This role will drive planning processes and drive execution of the programs, and will work with executives, managers and engineers within the organization and with all the interfacing organizations, while aligning with corporate’s roadmap, priorities and targets. What you'll be doing: - Build, manage, and implement comprehensive long-term programs, including setting timelines, allocating resources, and setting up progress milestones. - Work with project managers and engineers to ensure consistency with company strategy, commitments, and goals. - Facilitate teamwork and cooperation among team leaders to ensure accountability on their tasks and deadlines. - Capable of foreseeing and handling risks associated with constant change through proper prioritization. Come up with innovative solutions to difficult problems, and co-develop solutions and mitigation strategies. What we need to see: - B.Sc. in Industrial Engineering/ Mechanical/ Electrical Engineering or equivalent - At least 8 years of experience in HW program management - Excellent program management skills – familiar with project management methodologies and tools - Ability to lead cross-functional teams and initiatives - Good written and verbal communication skills in English - Excellent written and verbal interpersonal skills to lead effectively across cultures and geographies. - Personal skills: Team player and strong problem-solving skills, independent, accountable, adaptive to changes in a fast-paced environment, ability to drive people and tasks, leadership qualities, excellent communication skills Ways to stand out from the crowd: - Knowledge of AI concepts and app development with AI - Having experience in HW development, design, and manufacturing. - Knowledge of infrastructure (hardware and software) data center (electrical and mechanical) technologies - Long-term planning and execution skills to carry our Networking solution lifecycle planning. - Proven technical leadership - Experience in customer facing roles NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!
Senior Solutions Architect, AI Infrastructure
NVIDIA is looking for an experienced infrastructure Solutions Architect. Do you want to be part of a team that brings Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a networking savvy Solutions Architect to join the NVIDIA team focused on supporting accelerated networking for AI, Machine Learning, and HPC. As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solution integration with some of NVIDIA’s most strategic technology customers. What you’ll be doing: - Working with Cloud Providers and Hyperscalers to develop, build and deploy compute and networking solutions based on NVIDIA groundbreaking AI infrastructure hardware - Work with customers on POCs for AI solutions to address critical business needs - Conduct regular technical customer meetings for intro to new technologies and products, feature discussions, workshops and performance debugging sessions - Provide recommendations to business and engineering teams on product strategy. What we need to see: - BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. - 8+ years of Solutions Architect or similar technical pre-sales roles. - Strong sense of achievement, customer oriented demeanor, and skills to drive technical pre-sales activities - Practical knowledge of sophisticated networking for AI data centers, including, GPUs, CPUs, InfiniBand and Ethernet fabric topologies, PCIe, host networking and switches. - Experience with end-to-end compute and network performance debugging - hosts, switches, and optics. - Effective time management and capable of balancing multiple tasks - Ability to communicate ideas clearly through documents, presentations, etc. Ways to stand out from the crowd: - External customer facing skills and background - Hands-on experience with NVIDIA Ethernet and InfiniBand networking hardware, NICs/HCAs, switches, and GPUs - Good understanding of system hardware architecture impact on network performance, including kernel drivers, PCIe devices, NICs, DPUs and GPUs - Large-scale GPU infrastructure deployments - Experience designing and debugging at a rack scale NVIDIA is widely considered to be one of the technology world’s best places to work. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until May 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Solutions Architect, GenAI Agentic Networks...
We are building the AI systems that will fundamentally change how telecommunications networks are operated — and we want you to help shape that work. As a Senior Solution Architect on our Telco AI team, you will design and deploy Agentic AI applications that automate real carrier operations using the latest generative models, NLP, RAG pipelines, and large-scale distributed systems. We work at the intersection of two fast-moving domains: generative AI and telecommunications infrastructure. That means you will be going deep on both — understanding 5G network data, guiding NVIDIA’s strategic Telco partners, and helping engineering teams build things that actually work in production. This is applied work at its most exciting! What You Will Be Doing: We are designing, building, and continuously improving agentic LLM applications targeting Telco Network Operations and Autonomous Networks—covering orchestration, tool use, memory, and multi-agent coordination patterns—while evaluating and applying the latest advances in model fine-tuning and customization for telecom-specific corpora including network telemetry, logs, SNMP, NetFlow/IPFIX, and streaming time-series data. - Enable NVIDIA strategic Telco partners to build enterprise AI solutions on the NVIDIA accelerated computing stack, including NIMs and NeMo microservices. - Provide deep technical guidance to developers onboarding to NVIDIA AI platforms and SDKs; serve as the primary technical partner and customer point of contact for integration challenges. - Anticipate partner and customer needs across the adoption lifecycle, identify enablement opportunities that accelerate GenAI utilization, and translate those insights into reference architectures for Agentic AI in Telco—documenting design trade-offs, standard practices, and failure modes, then feeding findings systematically back to product and engineering. - Advise on high-performance ETL pipeline design for telecom data: scalable, real-time ingestion workflows using NVIDIA Data Acceleration SDKs (RAPIDS, Morpheus) for high-volume telemetry and event streams. What We Need to See: We are looking for someone with a strong engineering foundation and genuine curiosity about both AI and networking. Here is what matters most to us: - MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related field—or equivalent experience building real systems—with 6+ years developing and deploying AI/ML systems at scale. - Hands-on experience building enterprise RAG systems with open-source models (LLaMA, Mistral, or similar) and orchestration frameworks like LangChain or LlamaIndex, paired with solid deep learning fundamentals. - Proficiency in Python, solid understanding of C++, and experience with PyTorch or a comparable deep learning framework. - Real familiarity with Telco network data—telemetry, logs, SNMP, NetFlow/IPFIX, and time-series streams—paired with hands-on experience across SQL, NoSQL, Elasticsearch, Apache Spark, and Pandas. - The communication skills to talk technical trade-offs with engineers and outcomes with business partners — often in the same conversation. Ways to Stand Out from the crowd: These are not requirements — they are signals that you have already been operating in the space we work in every day: - Experience with NVIDIA AI Enterprise software: Morpheus, RAPIDS, NeMo, and NIM. - Agentic framework fluency: LangGraph, AutoGen, NVIDIA Colang 2.0, or similar multi-agent tools. - 5G / 6G and O-RAN depth: Next-generation Telco architecture spanning 5GC, Open RAN, network slicing, MEC, and 3GPP standards (Rel. 15–18), combined with O-RAN automation including xApps, rApps, RIC, SDN/NFV, and protocols such as NETCONF, gNMI, and RESTCONF. - MLOps and DevOps: Kubernetes, Docker, Helm, Jupyter-based automation pipelines. - Infrastructure awareness around NVIDIA InfiniBand or high-speed Ethernet for distributed model serving. Location & Travel Preference is for candidates based at NVIDIA HQ. Remote candidates will be considered. Up to 40% travel may be required for on-site customer engagements and industry conferences. With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture NVIDIA is widely considered to be one of the technology industry's most desirable employers! NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, robotics, and graphics. 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 May 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.
Developer Technology Engineer, AI
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 30 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What you'll be doing: - Study and develop cutting-edge techniques in CUDA programming, profiling, optimization. Application domains include deep learning, graphic, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures. - Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs. - Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer efficiency. - Need to travel from time to time for conferences and for on-site visits with developers. What we need to see: - A BS, MS, or PhD degree from a leading university in an engineering or computer science related field (or equivalent experience). While not a requirement, domain expertise in LLM, CTR, CV, or HPC, is helpful. - 3+ years experience, programming proficiency in C/C++ and/or Python with a deep understanding of software design, programming techniques, and algorithms. - Strong mathematical fundamentals, including linear algebra and numerical methods. - Experience with parallel programming, ideally CUDA C/C++. - Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Software Engineer, AI Networking
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking an outstanding Software Engineer to join our US-based networking software team. As a technical leader, you will lead the transformation of AI networking systems. You will apply your deep expertise to manage complex customer engagements and help develop our product and architecture direction. This role offers an outstanding opportunity to influence NVIDIA's networking technologies and make a significant impact on the industry. What you’ll be doing: - Establish yourself as a technical specialist in AI networking products, specifically the BlueField DPU and ConnectX product lines. Architect, design, and develop innovative, scalable, and high-performance hardware-accelerated software solutions. - Lead deep technical engagements with hyperscalers, involving design-in, coding, bring-up, performance tuning, failure analysis, and production hardening. - Partner with internal engineering, product, and architecture teams to transform customer needs into product features, reference architectures, tooling, and guidelines. - Drive performance, reliability, and debuggability improvements across customer stacks and translate findings into actionable product, firmware, and software roadmap items. What we need to see: - A Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience) - 8+ years of relevant industry experience, including technical leadership across complex systems. - Deep knowledge of networking protocols and distributed systems, with a strong understanding of RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs. - Proven low-level software expertise with proficiency in C/C++ and comfort debugging across firmware, driver, OS, and application. - Demonstrated experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management. - Excellent interpersonal skills, with the ability to clearly explain complex topics to engineers, PMs, and customer collaborators, and align cross-organizational teams toward a decision. - Result driven and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements Ways to stand out from the crowd: - Prior experience in customer-facing technical leadership at hyperscalers/CSPs. - Hands-on expertise with RDMA verbs, DPDK, DOCA, NCCL, CUDA-aware networking, congestion control, and performance tuning at scale. - Experience building internal tools, telemetry, and automation that improve triage speed and operational excellence. - Experience leading multi-team initiatives across geo/time zones, with clear examples of influence without authority as well as eager and proactive in bringing to bear AI-powered tools to accelerate debugging, documentation, and day-to-day engineering efficiency while maintaining strong engineering judgment. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the 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 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 May 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.
Implementation Methodology Engineer
We are looking for an Implementation Methodology Engineer to join NVIDIA VLSI team. If you are looking for a challenging and exciting role and you are a self-starter and highly motivated individual who loves to collaborate and find solutions to hard technical problems, join us today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. What you’ll be doing: - You will be responsible for all aspects of front-end design implementation methodologies (synthesis, formal-equivalence-checking), flow automation and application support. - Develop in house solutions to improve NVIDIA's workflows. - You will collaborate with logic designers, physical designers to solve exciting implementation issues and develop new solutions. - Provide support for EDA tools and flows What we need to see: - BS or MS in Electrical Engineering, Computer Engineering, or related fields (or equivalent experience). - 5+ years of experience in logic design implementation and/or physical design implementation - Strong automation skills - Good understanding of physical design implementation eg: physical synthesis, placement, routing, logic restructuring, etc. - Good debugging and problem-solving skills - Strong interpersonal skills along with the ability to work in a dynamic team Ways to stand out from the crowd : - Prior experience in implementation methodology - Proficiency in Python, Tcl, Java, C++ scripting NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? If so, we want to hear from you. Come, join NVIDIA VLSI team and help build the real-time, cost-effective computing platform driving our success across multiple fields such as Deep Learning and AI, Robotics and Autonomous Driving, Gaming and High Performance Computing. 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 May 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.
PhD Research Intern, Generative AI - 2026
At NVIDIA, we are building Cosmos world foundation models and generative AI systems for Physical AI across robotics, autonomous driving, smart spaces, and embodied agents. The NVIDIA Cosmos Platform enables multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are looking for outstanding PhD interns to help advance the frontier of Physical AI and world models. What you’ll be doing: - Conduct research in generative AI, multimodal foundation models, world models, and embodied AI. - Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning. - Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data. - Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams. - Publish research at top conferences and transfer innovations into NVIDIA products. What we need to see: - Currently pursuing a PhD in CS, EE, Robotics, or related fields. - Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning. - Prior publication record and research experience. - Strong Python and PyTorch skills. Ways to stand out from the crowd: - Experience with large-scale foundation model training. - Research in video models, VLMs, world models, robotics, or autonomous driving. - Experience with distributed training, simulation, or embodied AI. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD. You will also be eligible for Intern benefits . Applications for this job will be accepted at least until May 31, 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 Business Development Manager, NVIDIA Cloud...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. We are seeking a highly motivated Business Development Manager to join us in the Sales Team for NVIDIA Cloud Partners and AI developers. The BD Manager will be responsible for developing and driving sales strategies with NVIDIA Cloud Partner, building customer relationships, joint go-to-market with customer solutions, enabling AI developers, and achieving the business goal. The ideal candidate will have excellent communication and negotiation skills, and a deep understanding across the target market and technologies. Come and join NVIDIA to make a difference in the world. What you will be doing: - Developing and accomplishing Go-to-market strategies to drive growth in AI services with NVIDIA Cloud Partners . - Building and maintaining strong customer relationships, ensuring execution of joint go-to-market strategies. - Collaborating with cross-functional teams to determine and successfully implement business goals. - Leading and mentoring team members to achieve outstanding sales performance and customer happiness. - Analyzing market trends and competitor activities to find opportunities and stay ahead in the industry. What we need to see: - Bachelor's degree in Business, Marketing, or a related field. - Minimum of 10 years of experience in a sales or business development role within the technology industry. - Proven track record of achieving sales targets and developing successful sales strategies. - Strong communication, negotiation, and relationship-building skills. - Comprehensive knowledge of the Cloud Service Market and AI technologies/Go-to-market. 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/
Deep Learning Compiler Engineer - CUDA
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are now looking for cuTile Core Compiler Architect in our group! The NVIDIA Architecture group is looking for world class architects and engineers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture and maintain our leadership by developing new parallel programming models, new architectures and new infrastructure that is required to make this successful. What you'll be doing: - Design and implement the DSL and the core compiler of tile-aware GPU programming model for emerging GPU architectures - Continuously innovate and iterate on the core architecture of the compiler to consistently optimize performance - Investigation of next-generation GPU architectures and provide solutions in the DSL and compiler stack - Performance analysis on emerging AI/LLM workloads and integrate with AI/ML frameworks What we need to see: - Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI) - 2+ years of relevant work experience - Excellent C/C++ programming and software engineering skills, ACM background is a plus - Good fundamental knowledges on computer architecture - Strong ability in abstracting problems and the methodology in resolving problems - Strong compiler backgrounds including MLIR/TVM/Triton/LLVM is desired - Good knowledge of GPU architecture and fast kernel programming skills is a plus - Knowledge of LLM algorithms or a certain HPC domain is a plus - Knowledge of multi-GPU distributed communication is a plus - Excellent oral communication in English is a plus Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Senior Solutions Architect, Physical AI and Roboti...
NVIDIA is hiring a Solution Architect for the AI Technology Centre team in London, UK. This role is ideal for scientists who can also clearly define and apply strong strategic capabilities. Applicants must have significant publication records, community recognition, and research credibility to partner with Europe’s outstanding research groups on equal terms. Why London? The UK is committed to becoming a global leader in robotics adoption, with a goal of £150 billion GDP growth by 2035. London offers one of the most active Physical AI research environments worldwide. What you'll be doing - Participate in high impact research projects alongside university PIs and their research labs. - Identify and evaluate new high-value research opportunities in Robotics and Physical AI. - Champion the adoption of NVIDIA software platforms (such as Isaac Sim/Lab, Cosmos, GR00T, Warp, and Newton) to tackle groundbreaking scientific challenges. - Shape and nurture strategic institutional agreements with top UK universities and research consortia. - Empower academic partners by helping them secure critical research funding from external sources. - Act as a bridge between academic partners and NVIDIA product, program, and engineering teams. Communicate software and hardware requirements to ensure our solutions continue to drive world-class research. - Deliver strategic insights on emerging trends, breakthroughs from the research ecosystem or labs. - Coordinate and deliver outreach activities (e.g., NVIDIA AI Days, NVIDIA Robotics Days). - Help university PIs mentor postgraduate students. What we need to see - Ph.D. in Robotics, Mechanical Engineering, Physics, or Computer Science (Computer Vision, AI, HCI specialisations). - Research publications in Physical AI, Robotics and AI topics. - Experience working in academic research groups. - Comprehensive knowledge of Physical AI and Robotics: robot learning, manipulation, locomotion, perception, sim-to-real transfer, world models, or autonomous systems. - Experience with scientific policy engagement, grant processes, or national/European research program structures. - Excellent written and verbal communication skills in English. - Proven ability to work collaboratively in a team environment and learn new technologies quickly. - 5+ years of hands-on experience in AI research for robotics. Ways to stand out from the crowd - Postdoctoral or faculty experience is a plus, but no more than 10 years following a Ph.D. - Recognition across the research community with awards, named fellowships and grants in the robotics domain. - Experience in technology transfer - advancing research prototypes toward product integration or extensive platform deployment. - Experience building and implementing projects with NVIDIA software platforms. NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer!
Senior Solutions Architect, Generative AI - AI Mod...
NVIDIA is hiring a Solution Architect for the AI Technology Centre team in the UK. This role is ideal for scientists who can also clearly define and apply strong strategic capabilities. Applicants must have significant publication records, community recognition, and research credibility to partner with Europe’s outstanding research groups on equal terms. Why the UK? The UK has positioned itself as a global leader in AI, with major national investment into computing, foundation models, and AI safety. London offers one of the most active ecosystems for Generative AI, AI models, and large-scale AI systems worldwide, bringing together top research labs, high‑growth startups, and industry partners building the next generation of model‑driven applications. What you'll be doing - Participate in high impact research projects alongside university PIs and their research labs. - Identify and evaluate new high-value research opportunities in Generative AI, AI Models and Systems. - Champion the adoption of NVIDIA software platforms (such as NeMo, NIMs, Cosmos, CUDA X) to tackle groundbreaking scientific challenges. - Shape and nurture strategic institutional agreements with top UK universities and research consortia. - Empower academic partners by helping them secure critical research funding from external sources. - Act as a bridge between academic partners and NVIDIA product, program, and engineering teams. Communicate software and hardware requirements to ensure our solutions continue to drive world-class research. - Deliver strategic insights on emerging trends, breakthroughs from the research ecosystem or labs. - Coordinate and deliver outreach activities (e.g., NVIDIA AI Days, NVIDIA Generative AI Days). - Help university PIs mentor postgraduate students. What we need to see - Ph.D. in Computer Science, Engineering, Applied Mathematics, or Physics. - Research publications in Generative AI, AI Models, AI Systems, and related topics. - Experience working in academic research groups. - Extensive knowledge and experience with recent advancements in LLMs, VLMs, Agentic AI and Generative AI. - Experience with scientific policy engagement, grant processes, or national/European research program structures. - Excellent written and verbal communication skills in English. - Proven ability to work collaboratively in a team environment and learn new technologies quickly. - 5+ years of hands-on experience in Generative AI, AI Models and Systems research. Ways to stand out from the crowd - Postdoctoral or faculty experience is a plus, but no more than 10 years following a Ph.D. - Recognition across the research community with awards, named fellowships and grants in the Generative AI area. - Experience in technology transfer - advancing research prototypes toward product integration or extensive platform deployment. - Experience building and implementing projects with NVIDIA software platforms. NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer!
AI Research Scientist
NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team. We are dedicated to the development and optimization of GPU-accelerated efficient AI computing, covering language model, visual generation, and robotics. We focuses on pushing the boundaries of generative AI by designing models that are not only powerful but also efficient in terms of computational resources. You will be part of an amazing collaborative research team that consistently publishes at the top venues in machine learning, robotics and computer vision. Your contributions have the chance to create real impact on our products. What you'll be doing: - Research, design and accelerate novel generative AI models on NVIDIA GPUs - Publish original research - Collaborate with other team members and teams - Mentor interns - Speak at conferences and events - Transfer technology to product groups - Collaborate with external researchers outside NVIDIA What we need to see: - Excellent knowledge of LLM and foundation models - Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, MLSys, etc) - 4 years of experience. - PhD degree in computer science or electrical engineering with strong research track records. - Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus - Knowledge of common machine learning frameworks, such as PyTorch - Excellent communication 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 productive people in the world working for us. Looking forward to hear from you
Senior Solutions Architect - Generative AI
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 Senior Solutions Architect who can operate fluently across two worlds: the AI Factory infrastructure stack-designing accelerated compute environments built on DGX/HGX, networking, storage, and orchestration -and the Generative & Agentic AI application stack -guiding customers through open-source frameworks, NeMo, NIM, and Blueprints to deliver production AI workloads. You will be a trusted technical advisor to enterprise customers, partnering with sales, product, and engineering to translate business outcomes into deployable architectures. What You'll Be Doing: - Lead enterprise customers through the full lifecycle of on-prem Generative AI — from use case discovery and model selection to fine-tuning, deployment, and continuous evaluation. - Architect production-grade RAG systems using NeMo Retriever, embedding and reranker NIMs, and vector databases such as Milvus, pgvector, and Weaviate, tuned for accuracy, latency, and cost at scale. - Guide customers in selecting and customizing open-source foundation models like Llama, Mistral, Qwen, and Gemma, and lead them through fine-tuning workflows using NeMo Customizer, PEFT/LoRA, SFT, DPO, and RLHF. - Compose and build agentic applications using frameworks like LangGraph, LlamaIndex, CrewAI, AutoGen, and NVIDIA AI Blueprints, covering use cases such as customer service automation, enterprise search, document intelligence, video analytics, software engineering agents, and industry-specific copilots. - Advise on inference optimization with TensorRT-LLM, vLLM, and SGLang, including quantization, speculative decoding, and multi-LoRA serving. - Champion responsible AI practices: guardrails (NeMo Guardrails), red-teaming, evaluation harnesses, and observability for LLM and agent systems. - Help customers operationalize GenAI with accurate MLOps — versioning, CI/CD for prompts and models, drift detection, and human-in-the-loop feedback. - Provide architectural mentorship on on-prem AI Factory deployments built around DGX BasePOD/SuperPOD, HGX-based OEM systems, Spectrum-X and Quantum InfiniBand networking, and high-performance storage. - Scale clusters appropriately for combined fine-tuning and inference tasks. Build orchestration layers through Kubernetes, including the NVIDIA GPU Operator, Network Operator, and Run:ai. Apply Slurm as needed. - Lead technical workshops, PoCs, and architecture reviews with enterprise customers as well as represent NVIDIA at customer briefings, industry events, and technical forums. - Translate field findings into product feedback for NVIDIA engineering as well as build reusable assets such as reference architectures, deployment guides, and demos that scale across the SA community. What We Need To See: - 5–8 years of experience as a Solutions Architect, Field Engineer, ML Platform Engineer, or similar customer-facing technical role. - Strong hands-on background with accelerated computing infrastructure: GPUs, high-speed interconnects (InfiniBand, RoCE), parallel file systems (Lustre, GPFS, WEKA, VAST, or DDN or equivalent experience), and data center fundamentals. - Production experience with Kubernetes and at least one workload scheduler like Run:ai, Slurm, KubeFlow, or Volcano in GPU-accelerated environments. - Practical depth in Generative AI: LLM training/fine-tuning, RAG architectures, inference optimization (TensorRT-LLM, vLLM, SGLang), and quantization. - Experience with the NVIDIA AI Enterprise software stack (NeMo, NIM, Triton, RAPIDS, CUDA-X) or a strong desire and capability to learn rapidly. - Experience crafting solutions for enterprise constraints: air-gapped environments, data sovereignty, security/compliance (SOC 2, HIPAA, FedRAMP-adjacent), and multi-tenancy. - Excellent communication skills - able to present to CTOs and CIOs, then drop into a kubectl session with a platform engineer. - Bachelor's or Master's in Computer Science, Electrical Engineering, or a related field (or equivalent practical experience). Ways to Stand Out from the crowd: - Hands-on experience with agentic frameworks (LangGraph, AutoGen, CrewAI, LlamaIndex agents) in production settings. - Contributions to open-source AI/ML projects or published technical content (blogs, talks, papers). - Experience working with NVIDIA AI Blueprints or developing equivalent enterprise reference solutions. - Background in a specific vertical - financial services, healthcare/life sciences, manufacturing, retail, or telco. - Familiarity with sovereign AI initiatives or large-scale on-prem GenAI deployments. Working knowledge of MLOps tooling (MLflow, Weights & Biases, Argo, Kubeflow Pipelines). 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, Cloud Infrastructure a...
NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the worlds hardest problems. NVIDIA is looking for Senior Cloud Infrastructure/DevOps Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you'll be doing: - Maintain large scale HPC/AI clusters with monitoring, logging and alerting Manage Linux job/workload schedulers and orchestration tools. - Develop and maintain continuous integration and delivery pipelines - Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources. - Deploy monitoring solutions for the servers, network and storage. - Perform troubleshooting bottom up from bare metal, operating system, software stack and application level. - Being a technical resource, develop, re-define and document standard methodologies to share with internal teams Support Research & Development activities and engage in POCs/POVs for future improvements . What we need to see: - BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. - At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture. - Knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software. - Extensive knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments. - Experience in managing and installing HPC clusters, including deployment, optimization, and troubleshooting. - Experience with job scheduling workloads and orchestration technologies such as Slurm, Kubernetes, and Singularity. - Excellent knowledge of Windows and Linux systems (Redhat/CentOS and Ubuntu), including internals, ACLs, OS-level security protections, and common protocols like TCP, DHCP, DNS, etc. - Experience with multiple storage solutions, including Lustre, GPFS, ZFS, and XFS. Familiarity with newer and emerging storage technologies is a plus. - Proficiency in Python programming and bash scripting. - Knowledge of CI/CD pipelines for software deployment and automation. - Comfortable with automation and configuration management tools, including Jenkins, Ansible, Puppet/Chef, etc. - Ability to communicate technical concepts and collaborate effectively with Japanese-speaking customers. Ways to stand out from the crowd: - Knowledge of CPU and/or GPU architecture . - Knowledge of Kubernetes, container related microservice technologies. - Experience with GPU-focused hardware/software (DGX, CUDA.) - Background with RDMA (InfiniBand or RoCE) fabrics. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you.
Deep Learning Performance Architect, CUTLASS DSL T...
Are you excited about building world-class quality systems for advanced GPU software? Do you enjoy combining automation, product validation, and cod e analysis to support fast-moving compiler and kernel innovation? We are seeking a strong test engineer to develop the NVIDIA CUTLASS DSL testing framework, shape product test strategy, and ensure end-to-end code quality across the MLIR-based compilation pipeline. In this role, you will drive automated testing, and regression detection to make sure every code change is validated for correctness, and the product is ready for shipping at any time. What you'll be doing: - Develop and evolve the NVIDIA CUTLASS DSL testing framework for next-generation GPU software - Define, refine, and execute robust product test strategies for shipping to the open-source community - Ensure end-to-end code quality across the MLIR-based compilation pipeline and related functional coverage infrastructure - Build automated testing, code coverage measurement , and regression detection workflows at scale - Partner with multiple teams to make sure every operator change meets a high bar for correctness, quality, and performance What we need to see: - MS, PhD, or equivalent experience in Computer Science, Software Engineering, or a related field - 3+ years of relevant work experience - Excellent Python and scripting skills - Strong experience developing and using test tools, with a solid understanding of software testing best practices - Hands-on experience with automated testing in GPU environments, including correctness testing, code coverage improvements , and regression detection - Strong communication skills and proven ability to collaborate effectively across teams Ways to stand out from the crowd: - Familiarity with common AI agent technologies and applications - Experience in quality assurance of open-source products
AI Computing Development Engineer, TensorRT and Te...
NVIDIA is hiring software engineers for its AI Computing team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like generative AI, computer vision, speech recognition, recommender systems, and large-scale language and multimodal models. Join the team building the inferencing software (TensorRT/TensorRT-LLM) that will be used across our product lines. The ability to work in a fast-paced, delivery-focused environment is required, and excellent interpersonal skills are a must. What you'll be doing: - Design and develop robust inferencing software (TensorRT/TensorRT-LLM) optimized for functionality and performance across platforms - Perform performance analysis, optimization, and tuning of deep learning inference workloads - Track and integrate academic and industry advancements in AI and feature-update TensorRT/TensorRT-LLM accordingly - Provide feedback into architecture and hardware design and development - Collaborate across hardware, software, and research teams to shape the direction of machine learning inferencing across NVIDIA platforms - Own and deliver technical work with scope based on experience, ranging from complex features to substantial parts of larger projects, with increasing independence and technical leadership over time - Publish key technical results at leading scientific and engineering conferences What we need to see: - Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or related computing-focused field (or equivalent experience) - Strong C/C++ or Python programming and software design experience, including debugging, performance profiling, and test design - 2+ years working experience - Strong curiosity about artificial intelligence and familiarity with the latest developments in deep learning — including generative models, multimodal systems, and large neural networks - Experience working with deep learning frameworks such as PyTorch, TensorRT/TensorRT-LLM, NeMo, or vLLM - Proactive, self-driven, and able to work independently - Excellent written and verbal communication skills in English - Demonstrated ability, commensurate with experience, to take technical ownership, solve complex problems, and contribute effectively in cross-functional environments NVIDIA is widely considered to be one of technology’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. Does the idea of contributing to and pushing the boundaries of state-of-the-art AI and compute systems excite you? Interested in getting exposure to the entire deep learning software stack? Come join us and help build the GPU-accelerated AI platform used worldwide.
Infrastructure Software Engineer, Deep Learning Li...
We are now looking for an 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 focuses on NVIDIA's open-source products such as CUTLASS . The mission is to design and develop scalable, modular infrastructure that streamlines development, builds, and tests across NVIDIA’s diverse set of platforms, and address the needs from the open-source community, with the cutting-edge AI technology. 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 open-source products - Developing and deploying AI agents and similar technology to automate the end-to-end software development cycle - Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc.) - 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) - Extensive experience in AI agents technology - Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel) Ways to stand out from the crowd: - Experience designing and developing automation in Jenkins with Groovy (or similar) - Background with distributed systems and cluster/cloud computing, especially with Kubernetes - Experience designing and developing unit and integration test frameworks - Close follow the latest trend in AI industry - Track record of identifying useful new technologies and incorporating them into SW development flows 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!
AI Computing Architect
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 runs 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 AI Computing Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field. We are seeking outstanding Performance Analysis Architects with a background in the following to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications. What you’ll be doing: - Develop innovative architectures to extend the state of the art in deep learning performance and efficiency. - Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites. - Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications. - Prototype key deep learning and data analytics algorithms and applications. - Actively collaborate with software, product and research teams to guide the direction of deep-learning. What we need to see: - BS or higher degree in a relevant technical field (CS, EE, CE, Math, etc.) with 3+ years of work experience. - Strong programming skills in Python, C, C++. - Strong background in computer architecture. - Experience with performance modeling, architecture simulation, profiling, and analysis. - Strong foundation in machine learning and deep learning. Ways to stand out from the crowd: - Experience with GPU Computing and parallel programming models such as CUDA and OpenCL. - Background with the architecture of or workload analysis on other deep learning accelerators. - Experience with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, Tensorflow, TensorRT). - Experience with open-source AI compilers (OpenAI Triton, MLIR, TVM, XLA, etc.). NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior AI Frameworks Engineer
We are now looking for a Senior AI Frameworks Engineer (C++/Python)! NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance math primitives. Since 2017, it has provided the community with C++ template abstractions to implement custom GEMM and related computations efficiently on NVIDIA GPUs. We are building the next frontier of this ecosystem: Pythonic CUTLASS (CUTLASS DSL). This initiative aims to bring "speed-of-light" performance and powerful abstractions of our stack directly into the Python environment. Join the CUTLASS team and help bridge the gap between low-level hardware primitives and high-level developer productivity. If you are passionate about building elegant, high-performance DSLs and want to empower the next generation of AI researchers and engineers with better tools, apply today! What you'll be doing: As a core contributor to the CUTLASS project, you will use your expertise in systems programming and API design to create a world-class developer experience for GPU programming and kernel delivery. - Design APIs that prioritize user productivity, providing a "native" feel for developers accustomed to modern scientific computing and deep learning frameworks. - Develop robust compilation infrastructure—including AST transformations and JIT-friendly execution—to lower Pythonic descriptions into high-performance GPU machine code. - Optimize developer experience by creating debugging tools, profiler integrations, and validation methodologies that make writing and using kernels easy. - Build production-grade delivery infrastructure for the open-source community, managing everything from package distribution (wheels, conda) to the user-facing documentation and testing. What we need to see: - MS or PhD degree in Computer Science, Electrical Engineering, or related field (or equivalent experience). - At least 3+ years of relevant experience. - Strong proficiency in Python and C++, specifically regarding the design of Python extensions and foreign function interfaces (FFI). - Experience in library or framework development, with a focus on creating intuitive APIs for complex technical systems. - Deep understanding of the Python ecosystem’s delivery stack, including building, testing, and distributing high-performance compiled extensions. Ways to stand out from the crowd: - Active maintainer status or significant contributions to high-performance open-source libraries, AI frameworks or compiler projects (LLVM/MLIR). - Understanding of compiler foundations, such as intermediate representations (IR), lowering passes, or AST manipulation. - Experience with GPU Architecture and parallel programming models (CUDA). 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 engineer, 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 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 Technical Product Manager, Accelerated Comp...
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people! Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world! NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets. What you'll be doing: Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning Work with our sales organization to develop effective sales collateral and tools What we need to see: 6+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus. Demonstrated ability to fully contribute in one or more of the areas above within 3 months Knowledge of, and capable of explaining GPU, software and computing architectures Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs Ways to stand out from the crowd: Direct experience in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference Strong background in building or leading cloud computing infrastructure and technologies 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: 168,000 USD – 258,750 USD for Level 4; and 208,000 USD – 327,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until 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.
Engineering Manager, Inference Benchmarking — AI P...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding 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’s open-source benchmarking platform, AIPerf, is the growing standard for assessing LLM serving performance across various inference frameworks. Hyperscalers, cloud providers, and enterprises use AIPerf to inform decisions on production inference. This includes choosing GPUs, optimizing costs, reducing latency, improving efficiency, and scaling. As Technical Lead Manager, you will lead the engineering team within NVIDIA’s Dynamo organization. Your responsibility is to build and advance the platform so AIPerf becomes the leading benchmarking tool for datacenter, local, and edge use cases. This span LLM, multimodal, diffusion, and computer vision inference. This position combines hands-on leadership with expertise in systems engineering, inference infrastructure, and open-source communities. It has a direct effect on how AI performance is measured and pushed forward. What you'll be doing: - Driving the technical roadmap for AIPerf's core infrastructure: load generation, ZMQ-based microservices, GPU telemetry (DCGM/PyNVML, Prometheus metrics, statistical confidence intervals, and Kubernetes-native deployment. - Taking ownership for the accuracy and statistical soundness of benchmark results that engineering groups throughout the industry depend on to inform production infrastructure decisions. - Advising upstream engine integrations involving vLLM, TRT-LLM, and SGLang in partnership with NVIDIA's Dynamo and NIM teams to maintain AIPerf's relevance across emerging hardware, workload categories, and inference configurations. - Hiring, mentoring, and growing a team of senior engineers operating in a high-velocity open-source environment with active external contributors worldwide. What we need to see: - Bachelor's degree in Computer Science, Electrical Engineering, or related field, or equivalent experience. - 8+ overall years of software engineering experience building performance-critical infrastructure, ML tooling, or distributed systems. - 3+ years of engineering leadership experience as a tech lead, TLM, or engineering manager. - Deep understanding of LLM inference mechanics — TTFT, ITL, KV caching, Prefill/Decode, speculative decoding — and the ability to reason about measurement correctness and reproducibility. - Proven track record of collaborating across multi-functional groups and delivering production-quality output in high-velocity, high-external-visibility environments. Ways to stand out from the crowd: - Extensive experience with vLLM, TRT-LLM or SGLang internals along with contributions to their upstream projects. - Experience building Kubernetes-native infrastructure including operators, Helm charts, and GPU observability tooling (DCGM, dcgm-exporter, PyNVML). - Background in competitive benchmarking frameworks such as MLPerf or equivalent industry-standard evaluation systems. - History leading or making meaningful contributions to active open-source projects with external communities. 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 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 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 R&D Engineer, Digital Logic Synthe...
NVIDIA's success builds on a foundation of industry leading hardware. A key strategy in achieving this is our combining of the best of external EDA with highly optimized, internal EDA tools. Our team develops these tools by fusing advances in parallel computing, machine learning, and novel algorithms in C++. We are seeking an innovative EDA Software R&D Engineer with particular interest in strategies and algorithms for RTL synthesis, digital logic, timing, and power optimization. Such optimization usually includes a mix of graph-based algorithms, AI, and feedback from RTL and physical designers, so having experience relevant to each of those areas would be ideal. In practice, techniques often depend on many related domains, so a solid understanding of DFT, clock distribution, power gating, and other SOC integration aspects is essential. Developing software within a leading hardware company means getting to almost exclusively focus on the latest processes and most advanced designs. We're not bogged down by legacy support, niche roles, or convoluted approval processes. Our developers enjoy unusually high intellectual freedom and the ability to explore broad roles. If you like to work across many technical areas and see your successes directly realized in the world's best AI hardware, this is it! What you’ll be doing: - Invent and develop new algorithms for RTL synthesis, digital logic optimization, graph-based RTL traversal, analysis, and manipulation. - Build physical-aware synthesis techniques using placement/congestion/timing feedback to improve PPA. - Develop strategies for rapidly analyzing the RTL change impact on timing, power, area, and impact to DFT, clocking, and power delivery on design. - Prototype and evaluate ML methods (e.g., GNNs, RL, models) to guide optimization decisions; integrate successful approaches into production. - Explore high performance algorithms for clustering, min cost tree covering (technology mapping), datapath implementation and other details of logic synthesis, especially that efficiently incorporate human insight. - As with any software engineering team, we do write a lot of code, but this is broader than a typical CAD or EDA role. Instead, we as a team own the whole process from discovery and invention of new optimization opportunities, to developing solutions and working directly inside design teams to facilitate deployment. That translates to a bigger picture view of your work, going beyond simply responding to user requests to instead actively driving the roadmap of increasing hardware design productivity. What we need to see: - MS or PhD in Electrical Engineering or Computer Science or equivalent experience - 6+ years experience in EDA software and/or VLSI flows, with significant work in logic synthesis or digital optimization. - Strong CS fundamentals and modern C++ experience (templates/STL, concurrency libraries, profiling and performance optimization, data structures, algorithms, performance, concurrency, testing). - Solid understanding of RTL (Verilog/SystemVerilog) and digital design concepts (timing, clocking, DFT basics, power intent). - Expertise in EDA techniques, including logic synthesis, global route, static timing analysis, power & area optimization and SAT solvers - Good communication and interpersonal skills Ways to stand out from the crowd: - Previous work experience involving RTL logic synthesis and multi stage logic optimization - Experience with common EDA building blocks, such as Verific for Verilog parsing, Espresso for logic minimization, and various other components for logic rewriting, tree coverage, SAT solvers, and combinatorial optimization - Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc. - Experience with various machine learning techniques. NVIDIA is widely considered to be one of the technology world’s most desirable employers, and due to outstanding advancements, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you! 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 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.
Software Engineer, TensorRT Specialized Platforms...
Are you passionate about driving innovation in deep learning and eager to work on cutting-edge AI technology? Join NVIDIA's TensorRT team as a Software Engineer, and be at the forefront of technology, contributing to high-performance AI inference solutions for specialized platforms and applications. Your fresh perspective and technical skills will help shape the performance and functionality of our products, ensuring NVIDIA remains synonymous with innovation. If you're ready to tackle challenging projects, push the boundaries of AI performance, and make a significant impact in a company that values creativity, excellence, and teamwork, we want to hear from you! What you'll be doing: - Contribute to the design and development of high-performance deep learning inference software using modern C++ - Collaborate with teams across the hardware and software stack to understand and leverage new technologies to improve TensorRT's functionality and performance - Participate in the development of robust, high-quality C++ code in alignment with Modern C++ standards - Support systematic reasoning about test plans from unit to integration level - Assist in documenting the properties of functions, classes, and systems to improve robustness - Contribute to performance optimization and benchmarking efforts - Help develop new features and capabilities for TensorRT to serve specialized customer needs What we need to see: - Masters, or PhD in relevant fields (Computer Engineering, Computer Science, Electrical Engineering, AI) or equivalent experience - Strong foundational C++ skills, including familiarity with C++11 and C++14 or newer standards - Familiarity with the C++ Standard Template Library (STL) - Familiarity with modern deep learning models and inference frameworks - Interest in performance optimization and systems programming - Demonstrated ability to take initiative and see projects through to completion - Excellent interpersonal skills and a collaborative, pragmatic approach to solving problems Ways to stand out from the crowd: - Experience with Python and/or CUDA through coursework, internships, or personal projects - Exposure to systems programming, embedded systems, and/or compiler concepts - Experience in software performance analysis, profiling, or optimization techniques - Knowledge of C++17 or later standards - Understanding of computer architecture, memory management, or parallel computing concepts 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, come join our team and help us build the future of high-performance AI inference technology! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 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.
Senior Solutions Architect, AI Infrastructure
NVIDIA is looking for an experienced infrastructure Solutions Architect. Do you want to be part of a team that brings Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a networking savvy Solutions Architect to join the NVIDIA team focused on supporting accelerated networking for AI, Machine Learning, and HPC. As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solution integration with some of NVIDIA’s most strategic technology customers. What you’ll be doing: - Working with Cloud Providers and Hyperscalers to develop, build and deploy compute and networking solutions based on NVIDIA groundbreaking AI infrastructure hardware - Work with customers on POCs for AI solutions to address critical business needs - Conduct regular technical customer meetings for intro to new technologies and products, feature discussions, workshops and performance debugging sessions - Provide recommendations to business and engineering teams on product strategy. What we need to see: - BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. - 8+ years of Solutions Architect or similar technical pre-sales roles. - Strong sense of achievement, customer oriented demeanor, and skills to drive technical pre-sales activities - Practical knowledge of sophisticated networking for AI data centers, including, GPUs, CPUs, InfiniBand and Ethernet fabric topologies, PCIe, host networking and switches. - Experience with end-to-end compute and network performance debugging - hosts, switches, and optics. - Effective time management and capable of balancing multiple tasks - Ability to communicate ideas clearly through documents, presentations, etc. Ways to stand out from the crowd: - External customer facing skills and background - Hands-on experience with NVIDIA Ethernet and InfiniBand networking hardware, NICs/HCAs, switches, and GPUs - Good understanding of system hardware architecture impact on network performance, including kernel drivers, PCIe devices, NICs, DPUs and GPUs - Large-scale GPU infrastructure deployments - Experience designing and debugging at a rack scale NVIDIA is widely considered to be one of the technology world’s best places to work. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 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.
Developer Relations Manager, AI Platform and Tools...
We're hiring a Developer Relations Manager to lead strategic engagement within the horizontal AI platform and tools ecosystem in North America. In this role, you'll partner with companies working on MLOps to expand the use of NVIDIA's AI and accelerated computing platforms. We're looking for someone with deep technical depth in production AI systems to guide partner product direction, drive library integration, and support them building on NVIDIA technologies. If you're passionate about influencing the next wave of AI companies, we'd love to hear from you. What You'll Be Doing: - Develop and maintain deep technical expertise in MLOps, serve as the trusted technical advisor for ISVs and startups building in that space. - Understand partner workloads and accelerate adoption by integrating the NVIDIA software stack including libraries, SDKs, NIMs, and blueprints, into partner products and data pipelines, delivering measurable performance and scalability improvements. - Drive partner onboarding and co-innovation through technical enablement assets such as reference architectures, sample code, benchmark, and workshop content that accelerate deployment of production-ready solutions. - Engage with partner technical leaders to guide best-practice integrations, solve complex architectural challenges, and establish structured collaboration cadences that surface emerging workflows and inform NVIDIA product and platform strategy. - Build and expand a strategic ecosystem of AI platform and tools partners, track ecosystem and technology trends, and identify opportunities to scale NVIDIA adoption and ecosystem growth. - Collaborate cross-functionally with solution architects, engineering, product management, and account teams to strengthen partner engagement and optimize adoption strategies. - Advocate for ecosystem technical requirements by channeling actionable feedback from field deployments into NVIDIA product and engineering roadmaps. What We Need to See: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience. - 5+ years of experience in the technology industry across software engineering, developer relations, technical partnerships, solutions architecture, or product management, including 3+ years of hands-on experience in AI. - Deep domain knowledge across enterprise MLOps lifecycle, including inference serving platform, scalable deployment, eval, governance and observability pipeline. - Proven ability to lead complex, multi-stakeholder technical engagements, align cross-functional priorities, and drive execution across internal teams and external partners. Experience architecting, integrating, and scaling joint solutions with strategic ISVs or ecosystem partners is preferred. - Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both engineering and executive audiences. Ways to Stand Out from the crowd: - Deep familiarity with NVIDIA’s accelerated AI stack, including TensorRT-LLM, NeMo, Dynamo, NIM, RAPIDS, run.ai, CUDA-X libraries, and related frameworks, with experience integrating them into production platforms. - Experience partnering with early-stage or high-growth startups/ISVs in fast-paced, ambiguous environments. - A strong builder mindset, with a track record of creating technical solutions, enablement assets, or ecosystem integrations from the ground up. 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 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 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.
Senior C++ Software Engineer - Infrastructure Tool...
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new 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. Make the choice to join us today! Our team is responsible for development and management of tooling and release infrastructure for chip designers. We are constantly evolving to meet the demands of newer design architectures while maintaining backward compatibility and keeping tools reliable and scalable. What You'll be Doing: - Research, develop and maintain high quality tooling for scalable build/regression/release infrastructure that our chip designers rely on every day. - Develop user facing services that enable them to quickly schedule, track and triage their flows. - Develop internal tools to collect, analyze, monitor and visualize key metrics of the build and deployment systems. - Research and adapt the latest CI/CD practices to constantly evolve the tools & meet industry standards What We Need to See: - Bachelor's degree (or higher) in Computer Science or Computer Engineering or equivalent experience - 3+ years of software development experience - Experienced in a compiled language(C++/Golang) & scripting(Python/Perl/Tcl) - Experience in writing good production quality code - Solid understanding of data structure, algorithms, computer architecture and computer science theory - Flexibility/adaptability for working in a global and wide-ranging environment with different frameworks and requirements - Great teammate Ways to stand out from the crowd: - Interest or experience in AI/ML & developing agentic workflows - Proficiency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, makepp, Bazel) - Experienced with full stack development. - Proficiency in C++ linter, memory check, performance profiling, and code coverage tools. - Experienced with distributed computing systems such as LSF LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 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.
Senior Product Manager, AI Platform and Developer...
We are seeking a Product Manager to lead strategic AI platform initiatives across infrastructure, silicon, and developer experience. You will define product vision and execution across AI observability, profiling, agentic automation, and AI-native developer workflows. Partnering closely with engineering, architecture, and platform teams, you will deliver AI-powered capabilities that improve how large-scale systems are built and operated across the organization. This is a high-visibility, high-ambiguity role requiring strong product judgment, systems thinking, and the ability to drive clarity and alignment across complex cross-functional initiatives. Hardware Infrastructure serves as the foundational platform for silicon development. We build and operate the systems, environments, and tools that enable hardware engineers to design, simulate, validate, and tape out chips. In addition, we support software teams specifically through our source control platforms, enabling development of new products. Our mission is to accelerate engineering velocity while maintaining the performance, efficiency, and reliability required to deliver world-class silicon, while ensuring seamless collaboration where hardware and software development intersect. What You'll Be Doing: - Define product strategy and execution across a portfolio of AI platform initiatives, translating ambiguous technical challenges into clear problem statements, product direction, and prioritized roadmaps. - Develop deep empathy for internal developers and engineering teams through direct engagement, turning user challenges into intuitive, high-impact platform capabilities. - Drive roadmap planning across short- and long-term horizons, balancing customer impact, technical feasibility, scalability, and strategic business priorities. - Identify and evaluate high-value opportunities for AI-powered tooling, agentic automation, and developer productivity improvements, with a strong focus on measurable adoption and operational impact. - Establish product success metrics and use data-driven insights to continuously refine prioritization, feature scope, and user experience. - Champion developer experience and UX quality by understanding real engineering workflows, trust dynamics in AI-assisted tooling, and the factors that drive sustained platform adoption. - Communicate product strategy, trade-offs, and execution plans clearly across technical and executive audiences, influencing decisions at all levels of the organization. - Lead cross-functional collaboration across engineering, infrastructure, architecture, and design teams, driving alignment and execution in a highly matrixed environment. What We Need to See: - BS or MS in Computer Engineering, Computer Science, or a related technical field, or equivalent experience. - 12+ years of product management experience building developer platforms, infrastructure products or AI/ML systems at scale. - Experience leading products that incorporate LLM-powered agents, autonomous workflows or AI-accelerated developer experiences. - Strong technical depth in AI/ML infrastructure, including distributed training, inference optimization, GPU-accelerated computing, and large-scale systems performance. - Experience defining and delivering observability, telemetry, profiling, or performance tooling for engineering organizations. - Proven experience in fostering adoption of complex developer-facing products across large organizations. - Deep familiarity with modern SDLC tooling and developer workflows across build, test, deployment, and runtime environments. - Outstanding systems thinking with capacity to reason across the stack - from hardware and infrastructure layers through APIs, platforms, and end-user developer experiences. - Excellent written and verbal communication; able to distill ambiguous technical problems into clear product narratives. Ways to Stand Out from the crowd: - Background in semiconductor, hardware, or systems software companies. - Experience driving enterprise quality AI product adoption - defining UX, measuring engagement, and working with internal champions. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology! LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 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 is developing GPU and system architectures that accelerate deep learning, automotive and high-performance computing applications. We are looking for an expert deep learning performance architect to join our deep learning modelling, performance projections, analysis and optimization effort. In this position, you will have the chance to optimize deep learning hardware and software architecture and make a significant impact in a dynamic technology focused company What you’ll be doing : - Analyze performance of various deep learning algorithms on different architectures - Identify architecture and software performance bottlenecks and propose optimizations - Explore new features and hardware capabilities on deep learning applications What we need to see: - BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,) - 5+ years of working experience in relevant directions will be a plus - Be familiar with GPU or accelerator-based deep learning platform and software stack - A strong background in computer architecture - Experience on system architecture design and performance optimization - Familiar with machine learning and deep learning frameworks
Senior AI Security Researcher
At NVIDIA we tackle challenges no one else can solve. Our work in Networking and AI is transforming the world's largest industries and profoundly impacting society. NVIDIA Networking product security team is looking for an outstanding technical AI red teamer with hands-on safety and security experience to help us improve the safety posture of AI models, systems and infrastructure. In this role you will reduce risk, threats, and vulnerabilities in NVIDIA networking AI products. What you'll be doing: - Drive hands-on safety and security research on a range of AI and networking products. - Develop tools and processes to expose novel weaknesses in AI models and systems to preempt threats. - Participate in defining and ensuring AI development processes meet safety and security standards. - Partner with cross-functional teams to understand needs and implement solutions. - Be a technical focal point across multiple teams and provide hands-on AI safety, security and engineering expertise. What we need to see: - Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience). - Demonstrated experience of 5+ years in AI safety/security and offensive cybersecurity. - Knowledge of AI (both model and infrastructure) vulnerabilities and effective mitigation strategies. - In-depth understanding of LLM, MLLM, Generative AI, Agents and RAG workflows. - Proven Python programming expertise - Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings across the team - Extremely motivated, highly passionate, and curious about new technologies. Ways to stand out from the crowd: - Hands-on experience designing and building software products, including infrastructure and system design. - Knowledge of MLOps technologies such as Docker and Kubernetes. - Familiarity with ML libraries (PyTorch, TensorRT, or TensorRT-LLM). With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior AI Architect, Foundation Models and SoC Co-...
NVIDIA is at the forefront of accelerated computing, AI, and autonomous machines. From generative AI to robotics and self-driving vehicles, our technologies are transforming some of the world’s largest industries. NVIDIA DRIVE™ is redefining autonomous mobility through state-of-the-art AI, high-performance compute, and scalable software-defined architectures. We are looking for a Senior AI Architect to help define the next generation of AI model paradigms for autonomous vehicles and shape how those models co-evolve with NVIDIA’s future embedded SoC architectures. This is a highly strategic role operating at the intersection of frontier AI research, hardware architecture, systems optimization, and autonomous driving. You will work with world-class AI researchers, silicon architects, and AV platform teams to identify the AI workloads that will define the next decade — and ensure NVIDIA platforms are architected to lead them. What You’ll Be Doing: - Research and forecast emerging AI model architectures that are expected to shape the future autonomous vehicle stack, including Vision-Language-Action (VLA) models, Multimodal foundation models and more. - Drive hardware-software co-design across next-generation AI workloads and NVIDIA embedded SoCs, including GPU, CPU, DLA, memory hierarchy, interconnects, and accelerator subsystems. - Analyze compute, memory, bandwidth, and latency characteristics of sophisticated AI architectures such as transformers, diffusion models, or MoE systems - Develop architectural insights and influence future NVIDIA silicon, IP, and system-level design decisions through deep workload characterization and performance analysis. - Prototype and evaluate emerging model paradigms on NVIDIA DRIVE and embedded AI platforms to validate scalability, efficiency, and deployment feasibility. - Partner closely with AI research, autonomous driving software, compiler, runtime, and hardware architecture teams to align long-term roadmap and platform strategy. - Evaluate tradeoffs across latency, throughput, power efficiency, safety, and real-time constraints in production AV systems. - Define benchmarking methodologies and evaluation metrics for next-generation AV AI systems, including robustness, safety, calibration, and edge-case performance. What We Need To See: - MS, PhD, or equivalent experience in Computer Science, Electrical Engineering, Machine Learning, Robotics, or related field. - 12+ years of experience in AI/ML systems, deep learning architecture, or hardware/software co-design. - Deep expertise in modern AI architectures and large-scale model systems - Experience mapping AI workloads onto heterogeneous compute architectures including GPUs, CPUs, NPUs/DLAs, DSPs, and memory subsystems. - Solid understanding of distributed training systems, scaling laws, and inference optimization techniques. - Experience with model optimization methods such as quantization, sparsity, pruning, distillation, and memory-efficient inference. - Understanding of performance profiling, systems bottleneck analysis, and workload characterization. Ways To Stand Out From The Crowd: - Experience with autonomous vehicle or robotics stacks including perception, planning, prediction, or control. - Deep familiarity with NVIDIA platforms such as DRIVE™, Jetson™, CUDA®, TensorRT™, Triton, or TensorRT-LLM. - Experience influencing silicon architecture or collaborating directly with hardware design teams. - Expertise in sophisticated AI efficiency techniques (e.g. FP8/FP4 inference, Mixture-of-Experts routing, Streaming attention and KV-cache optimization) - Strong understanding of multimodal fusion across camera, lidar, radar, HD maps, and language inputs. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous, and passionate about building the future of AI and autonomous systems, we want to hear from you. Come join our team and help shape the next generation of AI computing platforms powering autonomous machines worldwide. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Software Engineer, CUTLASS Platform
NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs. If you are passionate about designing abstractions for Tensor Core and related GPU hardware features in MLIR, Python, and C++ that enable writing high performance kernels, apply to join the CUTLASS team today! What you'll be doing: - Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL. - Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes. - Author example kernels utilizing CUTLASS abstractions to showcase the use of novel GPU hardware features that are crucial for achieving high performance. - Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features. What we need to see: - Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience). - 3+ years of relevant industry experience. - Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing. - Experience working with high-performance code generation and knowledge of compiler transformations and optimizations. - A deep understanding of computer architecture and parallel computing programming models. Ways to stand out from the crowd: - Experience writing high-performance kernels at low levels of abstractions like NVVM/ PTX for GPUs or other similar parallel processing architectures. - Hands-on compiler design experience, particularly in MLIR. - Understanding of deep learning models, algorithms, and frameworks. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Software Engineer, CUTLASS Performance
NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs. If you are enthusiastic about performance and eager to help bridge the gap between current performance and what’s theoretically possible, apply to join the CUTLASS team today! What you'll be doing: - Benchmark the performance of state-of-the-art deep learning models’ inference and training passes to identify key GPU kernel and fusion opportunities. - Identify gaps between theoretical and realized performance, and suggest software improvements or model adjustments to resolve them. - Develop tooling to automate the benchmarking, analysis, and performance optimization loop to push the limit of CUTLASS kernel performance within DL networks. - Be the authoritative resource on kernel performance in the team and engage with teams across NVIDIA including GPU architecture, DL frameworks, and QA as the performance representative for the CUTLASS team. What we need to see: - Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience). - 3+ years of relevant industry experience. - Strong programming skills in Python and C++. - Experience in software performance analysis and optimization. - Deep understanding of computer architecture and familiarity with GPUs or similar parallel processing architectures. Ways to stand out from the crowd: - Deep understanding of state-of-the art DL model architectures. - Hands-on experience with performance benchmarking of DL frameworks like PyTorch, JAX, SGLang, vLLM, TRT-LLM, or others. - Experience in developing performance models and performance regression systems. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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