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CUDA Engineering Expert

Listed pay: $60to 100 / hr

What the posting lists, in US dollars an hour.

50 openings on this one role.

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If you're hired and complete 10 hours, micro1 pays this site a referral fee. Your pay is unaffected.

What happens after you click
Location
Remote, anywhere
Terms
Contract
Posted
· 4 weeks ago

Skills the posting asks for

  • CUDA
  • C++
  • GLSL
  • WebGPU

What the work is

Role Title: CUDA Engineering Expert


Role Type: Contractor


Location: Remote


micro1 is engaging CUDA Engineering Experts to contribute to a cutting-edge customer project focused on GPU kernel optimization in collaboration with a leading AI lab. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze, profile, and optimize GPU kernels using CUDA and relevant profiling tools to maximize computational throughput on modern hardware.
  2. Collaborate with project stakeholders to assess and identify kernel bottlenecks, proposing targeted optimization strategies.
  3. Refactor C++ and CUDA codebases for improved maintainability, efficiency, and adaptability across diverse GPU architectures.
  4. Implement shader logic and graphics workflows using GLSL and WebGPU, ensuring seamless integration with existing pipelines.
  5. Document key findings, optimization steps, and performance improvements with clear, actionable reports and technical communication.
  6. Contribute expertise to design discussions, supporting the evaluation of new GPU-based approaches and performance metrics.
  7. Stay informed on advancements in GPU programming and share relevant insights to enhance project outcomes.


Preferred Qualifications

  1. Demonstrated expertise in CUDA programming, with a strong track record of performance-tuning GPU kernels.
  2. Advanced C++ development skills, particularly in high-performance computing environments.
  3. Hands-on experience with GLSL and WebGPU for graphics and compute shader development.
  4. Proficiency using GPU profilers (such as Nsight, Visual Profiler, or similar tools) for guided optimization.
  5. Strong analytical abilities to evaluate and reason about kernel performance across hardware generations.
  6. Excellent written and verbal communication skills—clear documentation and technical reporting are essential.
  7. Experience collaborating in remote, cross-disciplinary project settings is a plus.

From the micro1 posting.

Applying on micro1

What happens after you click

  1. The link opens this role on micro1. Sign up and apply from there.
  2. An AI interview, 20 to 40 minutes.
  3. If micro1 hires you, they match you to a project.
  4. The work is paid by the hour, at the $60–100 this posting lists.
  5. Remote, with no country restriction on the posting.
Apply on micro1

If you're hired and complete 10 hours, micro1 pays this site a referral fee. Your pay is unaffected.

Red Pen Jobs is independent. We are not affiliated with, endorsed by, or acting for micro1 in any way, and we do not recruit on its behalf.

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