NVIDIA is seeking a highly skilled Senior Performance Engineer to join our Performance and R&D organizations. In this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and high-performance computing environments. You will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems. This is a fast-paced R&D environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.What you’ll be doing:Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clustersExplore performance characteristics of high-performance networking and collective communications (e.g., NCCL, RDMA, MPI, RoCE)Identify performance bottlenecks across networking, compute, memory, and system architectureDevelop and enhance performance analysis, benchmarking, and diagnostic toolsDefine performance test plans and establish expectations for new technologies and platformsCollaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insightsSupport telemetry collection and data refinement efforts to enable accurate performance analysisMaintain high standards for data quality, reproducibility, and traceability of performance resultsWhat we need to see:B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent experience5+ years of experience in performance analysis, systems engineering, or HPC/AI infrastructureDemonstrated expertise in performance analysis skills and methodologiesHands-on experience with high-performance networking (RDMA, MPI, NCCL, congestion control)Strong understanding of system performance metrics (latency, throughput, resource utilization)Exposure to hardware, firmware, or embedded telemetry environmentsStrong analytical, problem-solving, and communication skillsAbility to work effectively in cross-functional, fast-paced R&D teamsWays to stand out from the crowd:Knowledge of CUDA, NCCL internals, and congestion control algorithmsDeep system-level understanding of CPU architectures, GPUs, HCAs, memory, and PCIeExperience with NVIDIA GPUs, CUDA, and deep learning frameworks such as PyTorch or TensorFlowExperience with cloud platforms Proficiency in Python; experience with Bash and C/C++ is a plus as well as a strong experience working in Linux environmentsAt NVIDIA, we are passionate about supercomputing and powerful ground-breaking technologies. Our products span many areas, such as: high-performance computing (HPC), Machine Learning, cloud services, storage and more - and we've only scratched the surface of what can be accomplished. We need hardworking and creative people to help us seek some of these outstanding opportunities. 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 smartest engineers in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere 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 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.