Location: SF Bay Area
Remote: Yes (prefer hybrid)
Willing to relocate: No
Technologies: CUDA, C++, C, Python, GRPC, MPI, SLURM, Compilers, Parallel computing, Distributed computing, Performance Engineering, ML/AI
Email: ielhjnz84@mozmail.com
Recent PhD graduate in HPC+ML, visiting researcher at Stanford University.
Research on applying ML methods to maximize GPU kernel performance via compiler optimizations.
Looking for performance engineering roles, starting in January 2025. No visa sponsorship required.
Have previous experience at a national HPC lab, major financial service provider in Europe, research lab in South Korea, built and launched an operational satellite, and co-founded a decentralized token exchange startup.
Research on applying ML methods to maximize GPU kernel performance via compiler optimizations.
Looking for performance engineering roles, starting in January 2025. No visa sponsorship required.
Have previous experience at a national HPC lab, major financial service provider in Europe, research lab in South Korea, built and launched an operational satellite, and co-founded a decentralized token exchange startup.