- Design, implement, and optimize GPU-based software solutions using CUDA, WebGPU, or GLSL.
- Profile and fine-tune GPU kernels and shaders for maximum performance and efficiency.
- Develop host-side logic and integrations in C++.
Requirements
- Have robust relevant experience in GPU programming languages that can run on NVIDIA chips.
- Background in Graphics Programming, ML acceleration, Scientific Computing, or High Performance Computing.
- Proficiency in C++ is required.
Application Process
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage