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Deep Learning Engineer

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Company
Jobleads-US
Job location
San Francisco, United States
Salary
Undisclosed
Posted
Hosted by
Appcast

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 anir.gantugs@storm3.com #J-18808-Ljbffr
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