Robotics Systems Engineer

We are hiring a hands-on robotics systems engineer who can own end-to-end robot integration work across multiple robot platforms (wheeled robots, quadrupeds, humanoids).

You will be building the on-robot adapter/integration layer so robots can be operated reliably by fleet control systems. Beyond that, you will serve as the team's technical anchor for robot software/hardware, helping us evaluate vendors, diagnose issues, and integrate 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:

o low-level control and drivers (RTOS/embedded, motor interfaces, EtherCAT/CAN where applicable),

o robot middleware (ROS/ROS2),

o autonomy stack modules (localization/SLAM, planning, perception pipelines),

o locomotion/manipulation controllers (learning-based AI policy runtime),

o 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:

o Lower-level robot software (embedded/RTOS concepts, motor control interfaces, real-time constraints), and

o 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.