CUDA Engineering Expert

Requirements

• CUDA programming and GPU kernel optimizationMust
• GPU kernel performance profiling and analysisMust
• Advanced C++ development for high-performance computingMust
• GPU profiling tools (Nsight, Visual Profiler, or equivalent)Must
• GLSL and WebGPU shader developmentMust
• Strong analytical ability to evaluate kernel performance across hardware generationsMust
• Clear written and verbal communication skillsMust
• GPU architecture knowledge across hardware generationsMust
• Experience in remote, cross-disciplinary collaboration

What you'll do

• Analyze and profile GPU kernels to maximize computational throughput
• Collaborate with stakeholders to identify kernel bottlenecks and propose optimization strategies
• Refactor C++ and CUDA codebases for efficiency and maintainability
• Implement shader logic and graphics workflows with GLSL and WebGPU
• Document optimization findings, steps, and performance improvements
• Contribute to design discussions and evaluate GPU-based approaches
• Stay current with GPU programming advancements and share insights

Keywords

About the 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 • 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