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GPU Kernel Engineer

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GPU Kernel Engineer in USA

  • San Francisco, CA

Responsibilities

  • Write and tune low-level code that runs directly on GPUs.
  • Improve hardware throughput and cost efficiency for inference workloads.
  • Shrink models without reducing their quality.
  • Investigate and resolve causes of GPU idleness.
  • Profile systems before and after changes to identify performance bottlenecks.
  • Explain performance problems precisely and implement changes that make systems significantly faster.

Requirements

  • Around five or more years of low-level performance work where system speed was critical, such as operating systems, drivers, databases, compilers, trading systems, or inference engines.
  • Strong C or C++ skills and comfort with memory, concurrency, caches, and hardware behavior.
  • Demonstrated success making a system significantly faster and explaining the causes and solutions precisely.
  • Strong measurement and profiling practices with careful test setup.
  • GPU or CUDA experience is not required.

Benefits

  • Competitive compensation plus equity.
  • In-person work in San Francisco five days per week.
  • Opportunity to work on a small team with substantial responsibility and room to grow.

Salary: Competitive

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