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

← All remote jobs