GPU Software Engineer (HPC / Deep Learning Optimization)

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. Develop and optimize GPU workloads using C++ and GPU programming frameworks Improve performance of HPC or Deep Learning inference pipelines Analyze bottlenecks and optimize memory, compute, and latency Perform GPU profiling and performance tuning Debug and fix performance and stability issues Collaborate with engineers, QA, and stakeholders Follow coding standards and contribute to technical documentation