We are sharing a specialised part-time consulting opportunity for CUDA and GPU programming professionals experienced in kernel optimization, C++ engineering, profiler-guided performance analysis, GPU hardware utilization, and technical review.

This role supports current and upcoming remote consulting opportunities focused on GPU kernel optimization, performance evaluation, CUDA/HIP review, profiler metric analysis, C++ and Python workflows, and high-quality project execution. Selected professionals will apply their GPU programming expertise to analyze kernels, identify performance bottlenecks, improve implementation quality, and document optimization decisions across modern hardware environments.

Key Responsibilities

Professionals in this role may contribute to:

GPU Kernel Optimization

• Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization
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