Robotics Systems Engineer
Role summary
We are hiring a hands-on roboticssystems engineer who can own end-to-end robot integration work acrossmultiple robot platforms (wheeled robots, quadrupeds, humanoids).
You will be building the on-robotadapter/integration layer so robots can be operated reliably by fleet controlsystems. Beyond that, you will serve as the team's technical anchor forrobot software/hardware, helping us evaluate vendors, diagnose issues, andintegrate the full stack from low-level control up to perception / navigation /manipulation modules.
What you will do
- Build and maintain the on-robot integration/adapter layer (robot SDK/ROS interfaces, command/state, health, telemetry, remote ops hooks).
- Own robot bring-up and integration debugging: sensors, compute, networking, timing, stability, field failures.
- Connect and integrate major robot software components:
- low-level control and drivers (RTOS/embedded, motor interfaces, EtherCAT/CAN where applicable),
- robot middleware (ROS/ROS2),
- autonomy stack modules (localization/SLAM, planning, perception pipelines),
- locomotion/manipulation controllers (learning-based AI policy runtime),
- camera/IMU/LiDAR integration and vision pipelines.
- Evaluate robot vendors and hardware platforms with an engineer's rigor: capability benchmarking, failure analysis, integration complexity, and long-term maintainability.
Required qualifications
- Strong, practical experience building and integrating real robots (service robots, AMRs, quadrupeds, or humanoids).
- Solid understanding of both:
- Lower-level robot software (embedded/RTOS concepts, motor control interfaces, real-time constraints), and
- Upper-level robot software (Linux compute, autonomy stack integration, perception pipelines, runtime deployment).
- Ability to integrate open-source and vendor components into a working system (ROS/ROS2 ecosystem knowledge is a strong plus).
- Strong debugging ability: you can diagnose problems spanning software, hardware, sensors, and network/compute constraints.
- Proficient coding skills in C/C++ and/or Python comfortable working in Linux.
Preferred (nice-to-have) hardware depth
Have hands-on hardware intuition such as:
- Motors and drives: understanding motor behavior, tuning (e.g., PID gains), position/torque/impedance control modes.
- Actuation selection: comparing motors/gearboxes/transmissions, thermal limits, backlash, efficiency.
- Sensor integration: camera/IMU/LiDAR, synchronization, mounting/calibration considerations.
- Hardware benchmarking: designing tests to compare robot hardware performance and reliability.
Working style
- Highly hands-on, pragmatic, and comfortable in the lab and field.
- Strong ownership and systems thinking: sees the whole robot stack, not just one module.
- Clear communicator: documents integration learnings and builds reusable integration practices.
