MLOps Engineer
Design and operate end-to-end ML pipelines from research to deployment on custom optical AI accelerator hardware. Build and maintain model tracking, CI/CD, benchmarking, and monitoring systems for hardware-in-the-loop workflows. Collaborate across ML, compiler, and hardware teams to streamline the model-to-silicon workflow and improve engineering productivity through scalable infrastructure and tooling.