Software Engineer, Operational/ Process Efficiency
Core
Lead efforts to generalize complex depot operations (exterior cleaning, sensor calibration, maintenance) for Waymo's autonomous fleet using advanced robotics and AI.
Role type
Senior IC machine-learning engineer (robotics/operations)
Builds
Agentic systems, foundation models, and automated workflows for hardware lifecycle and manufacturing processes.
Domain
Autonomous driving, robotics, hardware manufacturing
Deliverable
production ML models
Required skills
training and deploying ML models at scale, reinforcement learning, simulation, foundation models, agentic systems, hardware lifecycle automation, stakeholder translation
Preferred skills
agentic tools and frameworks, large-scale foundation models (LLMs, VLMs), industrial workflow automation, hardware diagnostics
Technologies
reinforcement learning, simulation, foundation models, LLMs, VLMs
Responsibilities
Drive automation of hardware lifecycle for critical sensors and compute modules; Develop and deploy agentic systems to streamline workflows; Identify opportunities to apply AI to manufacturing and troubleshooting processes; Interface with hardware and diagnostic teams to translate physical requirements into technical specifications; Bridge the gap between experimental ML models and high-scale production environments.
Seniority
Senior, hands-on IC