What we need to see: Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience). 12+ years of industry experience (or equivalent) in systems architecture or related fields. Experienced in virtualization, networking and storage. Experienced in either Windows or Linux drivers, with a very good background of the other OS. Deep understanding of performance profiling and optimization techniques, together with defining and using HW offloads. A teammate with a can-do attitude, high energy and excellent interpersonal skills. Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: Shown research track record. Have experience and passion for system architecture, CPU/GPU/memory/storage/networking. Stellar communication skills. Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents). 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 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.
