Deep Learning Engineer - Storm3 : Job Details

⚡ 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 [email protected]