Fleet Reliability Engineer

Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Its frontier model has the top generalization and performance in the industry.

Dyna Robotics has raised over $140M, backed by top investors including CRV, First Round Capital, Robostrategy, Salesforce Ventures, NVentures, Amazon, Samsung Next, and LG Technology Ventures. Our team brings together engineers and researchers from Google, Meta, Apple, Amazon, Cruise, Aurora, NVIDIA, along with academic roots at Stanford, Berkeley, MIT, UPenn, and beyond. We're positioned to redefine the landscape of robotic automation.

ABOUT THE ROLE

We are looking for an engineer to own the health of our humanoid robot fleet, from root-causing a single hardware failure at the bench to building the telemetry and tooling that catches degradation before it becomes downtime.

This is a genuinely hands-on role. The same person who writes the fleet-wide degradation analysis should be comfortable pulling an arm off a robot, probing a suspect driver board, soldering a fix, and designing the bracket that makes the repair stick. You will sit at the intersection of hardware, firmware, controls, and data infrastructure, and you will be the person the team calls when a robot does something nobody can explain.

WHAT YOU'LL DO

- Root-cause complex failures across the fleet. Actuator dropouts, encoder and calibration drift, thermal events, CAN bus faults, and control-stack bugs, separating genuine hardware degradation from firmware, calibration, and model-side causes.

- Work hands-on with the hardware. Bench-test suspect actuators and electronics, rework and repair (soldering, harness and connector work), swap and re-commission components, and run physical validation with calipers, test fixtures, and boot and power-cycle ...