micro1Posted 11 Aug 2026

CUDA Engineering Expert

Apply on micro1

Pay

$60–100/hr

Work

Remote · Contract

Eligibility

No stated location restriction

Field

Software engineering

Skills

CUDAC++GPU Kernel OptimizationGPU ProgrammingGPU ProfilingNsightGLSLWebGPUShader ProgrammingHigh-Performance ComputingPerformance Tuning

Disclosure: Skillora is independent of micro1. The apply button carries our referral code, and if you are placed, micro1 pays Skillora a fee. It does not change what you are paid, our ranking does not know which listings pay us, and selection is decided by micro1’s own vetting.

About this role

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.

Similar AI training jobs

All AI training jobs