agilityrobotics · Onsite- Salem, OR
Skills: Python, SQL, CI/CD
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About The Role Our software team is growing and we are looking for an experienced robotics engineer to own how we assess the health of Digit. You will build the self-diagnostics, calibration, and fleet health tools that tell our manufacturing, test, service, and deployment teams whether a robot is ready to work — and why it isn't. You will root-cause hardware and performance issues on prototype and production robots, turn what you learn into automated checks, and feed the results back to teams across the organization. Your work will directly enable our ability to scale up the world's first production humanoid robot fleet and revolutionize the labor market. About The Work Develop a deep understanding of Digit's hardware through active participation in the bring up of prototype hardware and integration of new sensors. Extend Digit's self-diagnostics suite: automated checks of actuators, sensors, and limbs (e.g., actuator efficiency and health, leg stiffness, IMU and force/torque sensor checks) that determine whether a robot is fit to run a workflow. Lead root cause analysis on robots from prototype builds, the factory, and customer sites: isolate failures to subsystems, reproduce them with the Systems Test & Validation team, and drive corrective actions with hardware teams and suppliers. Turn RCA findings into new checks and pass/fail criteria, and validate that check results predict real robot performance. Develop and maintain calibration routines, including camera-based kinematic calibration of arms and legs, that run reliably in manufacturing and service. Build fleet health observability…
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