Deep Learning Engineer

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This range is provided by Storm3. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $400,000.00/yr

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GPU/CUDA kernel optimization and HPC Engineer

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 labs & leading AI companies
• Medical, Dental and Vision Insurance

Interested in applying? Please click on the ‘Easy Apply’ button or alternatively email me your resume at

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Research, and Information Technology

• Industries

  Research Services and Software Development

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