Remote GPU Systems Engineer: CUDA & HPC Performance

Bright Vision Technologies is seeking a GPU Systems Engineer to design and optimize CUDA-based workloads on modern accelerator hardware for AI training, inference, and HPC. The role focuses on extracting maximum performance from GPUs while collaborating with product, design, and engineering teams. The candidate will implement high-performance CUDA kernels, profile code, and tune memory hierarchies across HBM, L2, and shared memory. Remote work within the U.S. is supported for this full-time role. #J-18808-Ljbffr