Robotics

Genesis AI; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

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

What You'll Do

• Design, implement, and optimize the embedded control stack for general-purpose robots

• Design motion planning and trajectory optimization algorithms for dynamic locomotion and manipulation

• Build real-time state estimation pipelines for pose, contact, and force sensing, fusing heterogeneous sensor data under noise and uncertainty

• Formulate and solve optimal control problems (nonlinear MPC, convex optimization, trajectory optimization) for high-performance and stable behavior

• Build modular and robust software frameworks enabling rapid iteration between simulation and hardware

• Lead debugging, tuning, and validation of controllers directly on physical robots

What You'll Bring

• Passion for your craft and demonstrated excellence in control systems engineering

• Extensive experience in designing, implementing, and deploying advanced control algorithms on real robotic system products (8+ years)

• Deep expertise in dynamics, kinematics, optimal control, and state estimation

• Strong command of hardware interfaces, sensors (IMUs, F/T sensors), and actuation technologies (motors, gearboxes, drivers)

• Production-level mastery of C++ with a track record of building reliable, safety-critical software

• Proven ability to bridge across hardware, software, and algorithms to deliver robust end-to-end systems

• An open mind about the power of deep learning, reinforcement learning, and vision-language-action models as critical for general-purpose robotics

• Bonus: Experience shipping humanoid robots or whole-body control systems
• Bonus: Impactful published work in control theory, state estimation, or mathematical optimization
• Bonus: Familiarity with parallel computation on GPUs to accelerate optimization