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CUDA Engineering Expert

12 hours, 48 minutes ago
United States
Contract
Junior
AI Engineer
Software Development
C++ Git Python
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Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020
View All Jobs 119

Description

  • Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization.
  • Use profiler metrics such as L2 cache hit rate, L2 throughput, occupancy, and related signals to guide kernel improvements.
  • Review GPU kernel implementations and identify bottlenecks without requiring extensive background in the underlying algorithms.
  • Write, modify, and reason about C++17, Python, and GPU programming code.
  • Apply CUDA, HIP, shader programming, or related kernel programming expertise to improve performance outcomes.
  • Document optimization decisions clearly, including when specific profiler metrics are or are not useful.

Requirements

  • Available to work at least 20 hrs/wk.
  • Fluent in core C++ features through C++17.
  • Working knowledge of Python and Git.
  • Fluent in at least one GPU programming model such as CUDA, HIP, Slang, HLSL, GLSL, or related kernel programming.
  • At least 1 year of professional or graduate-level research experience working with GPUs.
  • Strong understanding of GPU profiler performance metrics and how to use them to optimize kernels.
  • Ability to optimize GPU kernels without needing deep prior context on every algorithm.
  • Experience with CUDA, HIP, CUDA C++ Core Libraries, inline PTX assembly, or tensor core-level optimization is a plus.
  • Experience optimizing kernels for NVIDIA Blackwell hardware is a plus.
  • Familiarity with NSight Compute is a plus.
  • Prior experience with GPU hardware organizations such as NVIDIA, AMD, or Qualcomm is a plus.
  • Open-source contributions related to GPU kernel optimization are a plus.

Benefits

  • Compensation of $80-$100 per hour.
  • Fully remote work that can be completed on your own schedule.
  • Independent contractor engagement.
  • Weekly payments via Stripe or Wise based on services rendered.
  • Projects may be extended, shortened, or concluded early depending on needs and performance.

Interested in this position?

Apply directly on the company website

Apply Now

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