Senior Architect - Server Performance

As an architect at NVIDIA, you will play a crucial role in driving architectural performance for next-generation AI server systems. Your unique capabilities in deep architectural knowledge, workload analysis, and hands-on silicon investigations will be put to the test. Your responsibilities will include conducting performance investigations on both NVIDIA and competitive platforms, developing targeted microbenchmarks, and proposing architectural features to optimize system performance and scalability. You will collaborate with cross-functional teams, work closely with software and hardware teams, and act as a subject matter expert on system performance. Key Responsibilities: - Analyze workloads of interest on existing silicon, focusing on at-scale AI workloads and high-performance computing applications. - Collaborate with cross-functional teams to define performance metrics, develop tests, and benchmarking methodologies. - Conduct comprehensive performance evaluations, identify bottlenecks, and recommend effective solutions. - Propose architectural features based on workload analysis and silicon studies to optimize system performance. - Influence design choices impacting overall system performance. - Act as a subject matter expert on system performance, providing guidance and support to the engineering team. - Ensure cutting-edge performance of NVIDIA's AI server systems through architectural principles, workload understanding, and silicon evaluation. Qualifications Required: - Bachelor's or Master's degree in a relevant field; a PhD is a plus. - 10+ years of practical experience in hardware architecture across various areas. - Expertise in high-performance networking technologies or performance optimizations for deep learning, HPC, or cloud computing environments. - Proficiency in benchmarking tools and methodologies, developing microbenchmarks, and using performance analysis tools. - Strong programming skills in languages like C, C++, and Python. - Ability to work within large, complex software repositories. NVIDIA, as a technology leader, is committed to innovation and excellence. We value diversity and seek individuals who are ready to push boundaries and transform the future. Join our dynamic team to help advance AI systems and shape the future of computing. If you are inspired to lead groundbreaking advancements, we invite you to be a part of our visionary team. As an architect at NVIDIA, you will play a crucial role in driving architectural performance for next-generation AI server systems. Your unique capabilities in deep architectural knowledge, workload analysis, and hands-on silicon investigations will be put to the test. Your responsibilities will include conducting performance investigations on both NVIDIA and competitive platforms, developing targeted microbenchmarks, and proposing architectural features to optimize system performance and scalability. You will collaborate with cross-functional teams, work closely with software and hardware teams, and act as a subject matter expert on system performance. Key Responsibilities: - Analyze workloads of interest on existing silicon, focusing on at-scale AI workloads and high-performance computing applications. - Collaborate with cross-functional teams to define performance metrics, develop tests, and benchmarking methodologies. - Conduct comprehensive performance evaluations, identify bottlenecks, and recommend effective solutions. - Propose architectural features based on workload analysis and silicon studies to optimize system performance. - Influence design choices impacting overall system performance. - Act as a subject matter expert on system performance, providing guidance and support to the engineering team. - Ensure cutting-edge performance of NVIDIA's AI server systems through architectural principles, workload understanding, and silicon evaluation. Qualifications Required: - Bachelor's or Master's degree in a relevant field; a PhD is a plus. - 10+ years of practical experience in hardware architecture across various areas. - Expertise in high-performance networking technologies or performance optimizations for deep learning, HPC, or cloud computing environments. - Proficiency in benchmarking tools and methodologies, developing microbenchmarks, and using performance analysis tools. - Strong programming skills in languages like C, C++, and Python. - Ability to work within large, complex software repositories. NVIDIA, as a technology leader, is committed to innovation and excellence. We value diversity and seek individuals who are ready to push boundaries and transform the future. Join our dynamic team to help advance AI systems and shape the future of computing. If you are inspired to lead groundbreaking advancements, we invite you to be a part of our visionary team.