ML Infra Engineer for Petabyte-Scale Training (SF On-Site)

David Joseph & Company seeks a talented ML infrastructure engineer to own the distributed training and inference backbone for a large foundation model. You will stand up clusters, build data pipelines for petabyte-scale datasets, and squeeze GPU performance across model scales. You will work with FSDP/DeepSpeed, NVIDIA GPUs, Linux, Python, C++, Kubernetes/Docker, and major cloud platforms (GCP/AWS/Azure). Relocation supported for San Francisco, on-site five days weekly. #J-18808-Ljbffr David Joseph & Company