The company is seeking an experienced ML systems engineer to optimize training and inference workloads for image, video, diffusion, and world-model tasks at their Menlo Park, CA site. You will profile bottlenecks, implement low-level GPU optimizations with CUDA and Triton, and help design distributed engines for diffusion models.
This role requires 2+ years in ML systems, strong CS fundamentals, and hands-on experience with PyTorch, Nsight, NCCL, and RDMA.
#J-18808-LjbffrML Systems Engineer — GPU & Distributed Inference in menlo park at Unknown Company
This position is listed as full time and onsite.