GPU Programming Software Engineer

1. Design, implement, and optimize GPU-based software solutions using CUDA, WebGPU or GLSL.
2. Profile and fine-tune GPU kernels and shaders for maximum performance and efficiency.
3. Develop host-side logic and integrations in C++

1. Advanced experience with any GPU programming language that can run on NVIDIA chips.
2. Background in either Graphics Programming, ML acceleration, Scientific Computing, High Performance Computing, or any other domain using GPU technologies.
3. Proficiency in C++

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the experts experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.