Genesis is seeking a senior ML infrastructure engineer to optimize large-scale PyTorch training systems on multi-node GPU clusters. You will profile bottlenecks, design distributed training stacks, and implement high-performance kernels.
You will work with Python daily, CUDA and Triton, and collaborate with teams to maximize hardware utilization across data pipelines, kernels, memory and networking for scalable AI workloads.
#J-18808-Ljbffr