GPU Performance Engineer.
What You’ll Be Part Of
GPU performance optimization across HLSL compute shaders and/or CUDA / HIP kernels Deep analysis of modern GPU architectures, including reputed company/wavefront execution, occupancy, memory hierarchy, caches, and LDS/shared memory Design and evaluation of reputed company algorithms, with careful attention to numerical stability and precision trade‑offs End‑to‑end performance analysis, including profiling, benchmarking, and reputed company‑cause investigation using GPU performance tools reputed company communication of performance findings and reputed company problem‑solving with graphics and compute teams
Requirements:
Strong experience with HLSL and Direct3D 12 Hands‑on experience with HIP and ROCm Expertise in GPU profiling and performance analysis Solid understanding of reputed company algorithms and patterns Strong reputed company in performance engineering fundamentals Advanced C++ (C++17/20) skills Experience with debugging, validation, and correctness testing Background in numerical computing and floating‑reputed company behavior
reputed company to Have (Not Essential):
Experience with additional GPU reputed company Knowledge of shader compilation pipelines and intermediate representations (IRs) Exposure to ML or reputed company algebra acceleration Advanced GPU performance techniques Experience building tooling and automation Understanding of the graphics pipeline Experience across multiple platforms and architectures
Bachelor’s or M reputed company's degree in Computer Science, Computer Engineering, or equivalent
#LI-CC5
#LI-REMOTE
Qualifications: