The Platform Architecture GPU group is looking for a talented GPU Architect with strong skills in performance analysis and development, across applications and operating system components.
BS degree
Experience with software and hardware performance analysis and optimization
Experience in GPU programming models such as Metal, CUDA, or similar
MS or PhD in Computer Science, Electrical Engineering, or equivalent
15 years of relevant industry experience
Experience with the internals of GPU drivers, compilers and/or accelerated libraries
Experience working specifically in CUDA C++ on ML and/or linear algebra algorithms
Experience with distributed algorithms for HPC (for example, supercomputing)
Experience communicating across both hardware and software organizations