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Systems/GPU Research Engineer

Vast AI· Engineering
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San Francisco, Los Angeles$200k - $330kFull-timePosted 3mo ago

About the role

Systems/GPU engineer focused on developing high-performance kernels, tensor libraries, and auto-optimization tools for AI model inference. Collaborates with founders and team to advance GPU programming techniques and stay current with cutting-edge research.

Responsibilities

  • Develop or extend parallel generic GPU libraries and kernels
  • Help design and deploy market-based resource management systems
  • Quickly investigate and summarize options for new system architectures
  • Prototype and evaluate novel state-of-the-art methods/models
  • Investigate and learn new frameworks and tools

Qualifications

  • Expertise in systems engineering across the tech stack
  • Deep understanding of GPU architectures
  • Strong holistic background in neural network performance and tooling
  • Published research at top AI conferences

Skills

Required:GPU programmingC++/CUDAPython

Benefits

  • Comprehensive health, dental, vision, and life insurance
  • 401(k) with company match
  • Meaningful early-stage equity
  • Onsite meals, snacks, and close collaboration with founders/tech leaders
  • Ambitious, fast-paced startup culture where initiative is rewarded
Last updated Sep 27, 2026. Interested? Apply on the company site.
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