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Designs and owns production data schemas and models, builds AWS data infrastructure and artifact storage, and develops edge-to-cloud pipelines for robotic systems. The role also delivers ML infrastructure for training pipelines, dataset versioning, and model deployment. Candidates must have at least two years of AWS data infrastructure experience, strong distributed-systems modeling skills, ML infrastructure experience, and the ability to work across the stack. Travel to customer sites is required. Robotics, autonomy, industrial IoT, edge computing, and manufacturing experience are preferred.

Lead mechanical design and deployment of robotic grinding and finishing cells. Design end effectors, fixturing, force-compliance, tooling selection, and safety/dust systems. Solve material-removal and surface-finish process problems, test and iterate on the production floor, and set mechanical standards for new parts and customers.

Design, build, and iterate mechanical components for robotic grinding and finishing cells. Create CAD models, fabricate and assemble hardware, deploy and debug systems on customer factory floors, and grow into ownership of complex mechanical problems.

Design, implement, and maintain software systems for production automation, optimizing performance and collaborating with engineers across disciplines.

Design and develop software for robotic systems, focusing on performance optimization, motion planning, and collaboration with hardware engineers. Conduct simulations to validate system performance.