Role summary
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 d
- oBuild 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 qualification
- sStrong, 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), an
- dUpper-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 dept
hHave 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 styl
- eHighly 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
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