Remote GPU Kernel Optimization Specialist

Weekday AI; United States; Remote; USD 110,000 - 138,000; Part time

Job summary

Weekday AI is seeking a GPU kernel optimization expert for a freelance project with a leading AI lab. You will analyze and optimize GPU kernels, using CUDA/HIP and profilers to squeeze performance across modern hardware.

This contract-based role requires strong C++17, Python, and GPU programming skills and the ability to work remotely on your own schedule. Ideal candidates will have at least 1 year of GPU experience, comfort with Nsight Compute, and a track record of performance improvements.

Qualifications

• Proficient in modern C++ (C++17)
• Experience with GPU kernels and performance profiling
• Familiarity with CUDA/HIP or other GPU programming models
• Knowledge of GPU hardware architecture and perf metrics

Responsibilities

• Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization
• Use profiler metrics to guide kernel improvements
• Review GPU kernel implementations and identify bottlenecks
• Write, modify, and reason about C++17, Python, and GPU programming code
• Apply CUDA, HIP, shader programming, or related kernel programming expertise to improve performance outcomes
• Document optimization decisions clearly

Skills

C++17

Python

GPU programming

CUDA

HIP

Shader programming

Profiling / performance analysis

Tools

Git

NSight Compute

CUDA C++ Core Libraries

Job description

Weekday AI is seeking a GPU kernel optimization expert for a freelance project with a leading AI lab. You will analyze and optimize GPU kernels, using CUDA/HIP and profilers to squeeze performance across modern hardware.

This contract-based role requires strong C++17, Python, and GPU programming skills and the ability to work remotely on your own schedule. Ideal candidates will have at least 1 year of GPU experience, comfort with Nsight Compute, and a track record of performance improvements.