CUDA Engineering Expert
🏢 micro1 · all micro1 jobs
📍 Worldwide
💰 USD 60 - 100 / hourly
📅 Posted 2026-08-11 · via Himalayas
🏷 CUDA-Engineer,CUDA-Engineering,CUDA-Software-Engineer,CUDA-Software-Engineering,CUDA-Developer,CUDA-Kernel-Engineering,GPU-Engineer,GPU-Computing-Engineering
Apply on original site ↗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
- Analyze, profile, and optimize GPU kernels using CUDA and relevant profiling tools to maximize computational throughput on modern hardware.
- Collaborate with project stakeholders to assess and identify kernel bottlenecks, proposing targeted optimization strategies.
- Refactor C++ and CUDA codebases for improved maintainability, efficiency, and adaptability across diverse GPU architectures.
- Implement shader logic and graphics workflows using GLSL and WebGPU, ensuring seamless integration with existing pipelines.
- Document key findings, optimization steps, and performance improvements with clear, actionable reports and technical communication.
- Contribute expertise to design discussions, supporting the evaluation of new GPU-based approaches and performance metrics.
- Stay informed on advancements in GPU programming and share relevant insights to enhance project outcomes.
Preferred Qualifications
- Demonstrated expertise in CUDA programming, with a strong track record of performance-tuning GPU kernels.
- Advanced C++ development skills, particularly in high-performance computing environments.
- Hands-on experience with GLSL and WebGPU for graphics and compute shader development.
- Proficiency using GPU profilers (such as Nsight, Visual Profiler, or similar tools) for guided optimization.
- Strong analytical abilities to evaluate and reason about kernel performance across hardware generations.
- Excellent written and verbal communication skills—clear documentation and technical reporting are essential.
- Experience collaborating in remote, cross-disciplinary project settings is a plus.
Originally posted on Himalayas