Robotic System Engineer

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.