About this opportunity
Confidential lists this CUDA Engineer for AI Training opportunity in Tega Cay, South Carolina. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Role Overview Apply deep GPU programming and performance optimization skills to analyze, profile, and tune GPU kernels that accelerate training and evaluation workflows for next-generation AI systems. This remote contractor role contributes technical improvements and documented findings to a customer project run in partnership with a leading AI lab. No prior experience in AI is required.
Key Responsibilities Analyze, profile, and optimize GPU kernels using CUDA and appropriate profiling tools to maximize computational throughput on modern hardware.
Identify kernel bottlenecks in collaboration with project stakeholders and propose targeted optimization strategies.
Refactor C++ and CUDA codebases to improve maintainability, efficiency, and portability across diverse GPU architectures.
Implement shader logic and graphics compute workflows using GLSL and WebGPU, ensuring integration with existing pipelines.
Document findings, optimization steps, and measured performance improvements in clear, actionable reports.
Participate in design discussions, evaluate new GPU-based approaches and performance metrics, and share relevant insights on advances in GPU programming.
Qualifications Required skills: CUDA, C++, GLSL, WebGPU.
Proven experience in performance tuning GPU kernels and delivering measurable improvements.
Advanced C++ development experience, especially in high-performance computing environments.
Familiarity with GPU profiling tools, such as Nsight, Visual Profiler, or similar, for guided optimization.
Strong analytical ability to reason about kernel performance across multiple hardware generations.
Excellent written and verbal communication skills for clear documentation and technical reporting.
Experience collaborating in remote, cross-disciplinary projects is a plus.
Work Terms Role type: Independent contractor.
Location: Remote.
Engagement: Contribute to a customer project focused on GPU kernel optimization in collaboration with a leading AI lab.
Compensation Pay rate: $60.00 to $100.00 per hour.
Eligibility Must be able to work as an independent contractor.
No prior AI experience required, domain and GPU engineering expertise are the primary qualifications.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.