Senior Architect - Server Performance

What You'll Do

• conducting performance investigations on both NVIDIA and competitive platforms, and developing targeted microbenchmarks to examine specific architectural aspects.
• The role does not heavily involve modeling tasks (functional or performance), though occasional focused assignments may arise.
• What you'll be doing: Analyze workloads of interest on existing silicon, with an emphasis on at-scale AI workloads, and high-performance computing (HPC) applications.
• Collaborate with cross-functional teams to define performance metrics and key use-case scenarios, then develop robust tests and benchmarking methodologies.
• Conduct comprehensive performance evaluations, identify bottlenecks, and recommend effective solutions using appropriate tools and platforms.
• Utilize insights from workload analysis and silicon studies to propose architectural features that optimize system performance and scalability.
• Work closely with software and hardware teams to influence design choices that impact overall system performance.
• Act as a subject matter expert on system performance, providing guidance and support to the broader engineering team.
• Bridge architectural principles, workload understanding, and direct silicon evaluation to ensure NVIDIA's AI server systems deliver cutting-edge performance.
• What we need to see: Bachelor’s or Master’s degree in a relevant field; a PhD is a plus. 10+ years of practical experience in hardware architecture across areas such as CPU, GPU, cache, memory subsystem, PCIe, networking, or storage.
• Expertise in high-performance networking technologies, including InfiniBand and RoCE, or a strong familiarity with communication libraries like MPI and UCX.
• Alternatively, a proven track record in performance optimizations for deep learning training or inference systems, high-performance computing, or cloud computing environments.
• Expertise in benchmarking tools and methodologies, with demonstrated skill in developing and implementing targeted microbenchmarks.
• Solid understanding of performance analysis tools and techniques; experience with performance simulators is highly desirable.
• Proficiency in programming languages such as C, C++, and Python.
• Strong ability to work within large, complex, and unfamiliar software repositories.
• NVIDIA is a technology leader, renowned for innovation and excellence.
• Our team thrives on creativity, determination, and a drive to solve complex problems.
• We seek individuals ready to push boundaries and transform the future.
• By joining NVIDIA, you will help advance agentic AI systems and shape a new era of computing, making a real impact at the cutting edge.
• If you’re inspired to grow and lead in groundbreaking advancements, we invite you to join our dynamic and visionary team.
• We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Hybrid