What are the responsibilities and job description for the GPU/Deep Learning Engineer position at Storm3?
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 / Scientists skilled in GPU / CUDA kernel optimization for deep learning.
Responsibilities :
- Design and implement kernel optimizations to accelerate deep learning jobs
- Research and iterate on models to ensure optimal performance
- Work collaboratively in a early-stage team to enhance their early GPU set-up
- 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
- 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 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
Requirements :
Why apply :
Salary : $200,000 - $300,000
