Robotics Control & Motion Engineer — Real Hardware Deployment

Lili-o

Paris

On-site

EUR 65,000 - 95,000

Full time

14 days+
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Job summary

Lili-O in Paris is seeking a Control / Motion Engineer to own and optimize the robot control stack, from whole-body control to real-time deployment on hardware. You’ll work with the mechatronics team to ensure control performance aligns with mechanical design, aiming for robust, hardware-agnostic software across platforms.

Ideal candidates have hands-on experience translating control algorithms from simulation to real robots, and a pragmatic engineering mindset to debugging on real hardware

Qualifications

  • Hands-on experience taking control algorithms from simulation to real hardware.
  • Experience working with mechanical/mechatronics teams and hardware constraints.
  • Strong debugging mindset on real hardware, not just in simulation.

Responsibilities

  • Optimize and harden the existing control stack (IK, MPC, low-level control).
  • Develop and integrate a Whole Body Controller (WBC) or evaluate existing solutions.
  • Deploy and validate control algorithms on real robots.
  • Maintain URDF models and keep control software hardware-agnostic across platforms.
  • Collaborate with mechatronics on actuator behavior, CAN, and hardware integration.
  • Deploy and optimize control code on embedded targets (e.g., Jetson).
  • Participate in QA: testing, validating, and debugging control on hardware before/after releases.

Skills

Whole Body Control
Inverse Kinematics
Model Predictive Control
cuRobot/Placo libraries
CAN bus
Embedded deployment (Jetson)
URDF

Education

Engineering degree or equivalent (robotics/mechatronics/controls)

Job description

Lili-O in Paris is seeking a Control / Motion Engineer to own and optimize the robot control stack, from whole-body control to real-time deployment on hardware. You’ll work with the mechatronics team to ensure control performance aligns with mechanical design, aiming for robust, hardware-agnostic software across platforms.

Ideal candidates have hands-on experience translating control algorithms from simulation to real robots, and a pragmatic engineering mindset to debugging on real hardware

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