Job Details

⚡ GPU/CUDA kernel optimization and HPC

? 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 division, led by A-listers in tech & academia. Seeking Engineers/Researchers skilled in GPU/CUDA kernel 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 ...@storm3.com

⚡ Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and intel