What are the responsibilities and job description for the GPU/Deep Learning Engineer position at Storm3?
GPU / CUDA kernel optimization and HPC
Foundation Models for Biology ($100M Seed)
San Francisco Bay Area, USA
200,000 - $300,000 salary bonus equity
Come join a revolutionary stealth biotech, building the world's first interconnected Foundational Models across multiple modalities in biology.
Opportunity to join as an early member in a rapidly growing division, founded by A-listers in tech & academia. Seeking Engineers / Researchers skilled in GPU / CUDA kernel optimization for deep learning.
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 :
Why apply :
San Francisco Bay Area, USA
Interested in applying? Please click on the ‘Easy Apply’ button or alternatively email me your resume at anir.gantugs@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 int el
Salary : $200,000 - $300,000
