Project description
We are looking for a Software Engineer focused on GPU computing, HPC workloads, and Deep Learning inference optimization on Windows platform. The project is aimed at improving performance and efficiency of GPU-based workloads, including compute kernels and inference pipelines. The role is not limited to graphics APIs and is suitable for candidates with strong experience in CUDA, OpenCL, or similar technologies, as well as shader-based optimization.
Responsibilities
SKILLS
Must have
Nice to have
Strong knowledge of C++ Experience with Deep Learning frameworks (TensorRT, ONNX Runtime, PyTorch, etc.) Understanding of graphics pipelines and rendering basics Experience with a graphics API (DirectX, Vulkan, Metal, etc) Experience with CI/CD, version control, or automated testing Experience with GPGPU development (CUDA/HIP/OpenCL)