What we need to see: M.S. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience 20+ years of industry experience in systems design, distributed systems, system software, or related fields Chief Scientist, CTO, or equivalent senior technical leadership experience in smaller companies is highly desirable Deep background in distributed systems, parallel computation, networking, storage, virtualization, and memory management Experience building, scaling, and supporting environments for massive AI workloads Strong understanding of large-scale systems operational aspects, including performance, reliability, scalability, and supportability Excellent communication, collaboration, and technical leadership skills in a multi-national, multi-time-zone environment Ways to stand out from the crowd: Proven research track record in AI systems, large-scale infrastructure, or advanced systems co-design Deep expertise in GPU systems, RDMA, NVLink, and storage technologies for AI and HPC workloads Strong record of cross-functional influence spanning hardware, system software, networking, and infrastructure 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 excited to drive the future of AI infrastructure at scale, 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.
