Senior Robotics Control Engineer – Real‑World Motion & MPC

Genesis AI

Paris

Hybride

EUR 90 000 - 130 000

Plein temps

14 jours+

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Résumé du poste

Genesis AI is seeking a senior control systems engineer to design and optimize embedded control stacks for general-purpose robots in Paris. You will craft motion planning, trajectory optimization, and real-time state estimation while integrating sensors, actuators, and software across hardware and algorithms.

Expect to lead development from simulation to hardware, push for robust end-to-end systems, and collaborate closely with hardware teams.

Qualifications

  • Advanced knowledge in control theory and estimation.
  • Proven track record deploying control algorithms on robotic systems.
  • 8+ years experience in high-performance robotics control.

Responsabilités

  • Design, implement, and optimize embedded control stack for robots.
  • Develop motion planning and trajectory optimization for locomotion and manipulation.
  • Build real-time state estimation pipelines fusing sensor data.
  • Formulate and solve optimal control problems for stable behavior.
  • Build modular software frameworks enabling rapid simulation-to-hardware iteration.
  • Lead debugging, tuning, and validation on physical robots.

Connaissances

Control systems eng
Robotics real-time software
C++ proficiency
State estimation
Dynamics & kinematics
Optimization (MPC)
Sensor interfaces
End-to-end systems integration
Deep learning / RL interest
GPU parallel computing (bonus)

Outils

ROS
Real-time frameworks
GPU programming
MATLAB/Simulink

Description du poste

Genesis AI is seeking a senior control systems engineer to design and optimize embedded control stacks for general-purpose robots in Paris. You will craft motion planning, trajectory optimization, and real-time state estimation while integrating sensors, actuators, and software across hardware and algorithms.

Expect to lead development from simulation to hardware, push for robust end-to-end systems, and collaborate closely with hardware teams.

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