Inference Systems Engineer (GPU/Cluster Scaling)

Luma is seeking a systems engineer to own large-scale model serving and inference pipelines. You will integrate new architectures into the inference engine, scale deployments across thousands of machines, and keep GPU fleets busy while meeting internal SLOs.

You’ll work on scheduling, fleet management, and reliable deployment pipelines across clusters, with a strong emphasis on efficiency and uptime. This is the systems side of ML, not pure modeling.