GPU Systems Engineer (CUDA)

Bright Vision Technologies is seeking a skilled GPU Systems Engineer with deep expertise in CUDA programming and high-performance computing to design, optimize, and implement compute-intensive workloads for AI training and inference. The role involves profiling GPU code, tuning memory access patterns, developing optimized libraries for ML primitives, and collaborating with cross-functional teams to unlock maximum performance on modern accelerator hardware. This position requires strong engineering discipline in C/C++ and a readiness to mentor junior engineers while contributing to long-term in-house SOW deliverables.