GPU/CUDA kernel optimization and HPC Engineer
Foundation Models, AI Research Institute
San Francisco Bay Area, USA
$200,000 - $400,000 salary + bonus
Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI.
Opportunity to join as an early member in a rapidly growing team, led by A-listers in tech & academia. Seeking Engineers/Researchers skilled in GPU/CUDA kernel optimization and HPC optimization for large-scale deep learning clusters and infrastructure.
Responsibilities:
Design and implement kernel optimizations to accelerate deep learning jobs
Implement SOTA methods in high performance and parallel computing
Research and iterate on models to ensure optimal performance
Work collaboratively in a early-stage team to enhance their early GPU set-up
Requirements:
MS or PhD in Comp Sci, Comp Engineering, or related
3+ years experience working with CUDA and deep learning optimization in HPC environment
Proficiency in leveraging high compute GPU clusters
Why apply:
Opportunity to build out a new division at the forefront of AI innovation
FAANG competitive salary & package
Work alongside superstars from FAANG, Genentech & AI pioneering companies
Medical, Dental and Vision Insurance
Relocation package available
San Francisco Bay Area, USA
Interested in applying? Please click on the 'Easy Apply' button or alternatively email me your resume at
Permanent