Senior GPU Performance Engineer

A company is looking for a Senior Member of Technical Staff - Algorithm & Performance Optimization - GPU Libraries. Key Responsibilities Critically review and improve kernel algorithms for performance gains across AMD GPU architectures Design explainable heuristic models for kernel selection and workload mapping Execute large-scale kernel benchmarking campaigns and analyze performance data Required Qualifications Extensive experience with C++ and relevant applied experience using CUDA, HIP, OpenMP, MPI, or OpenCL Proven experience with kernel performance tuning and understanding of hardware-level performance Familiarity with GPU kernel libraries such as Composable Kernel (CK) and MIOpen Applied experience using AI-assisted coding tools in software engineering workflows Advanced degrees (M.Sc./M.Eng. or Ph.D.) in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or related fields