Robotics

Genesis; Paris; Presencial; EUR 110 000 - 150 000; Tempo integral

Resumo da oferta

Genesis in Paris is seeking a senior control systems engineer to design, implement, and optimize the embedded control stack for general-purpose robots in a Paris-area facility. You will tackle real-time motion planning, state estimation, and robust control on hardware platforms.

You will collaborate across hardware, software, and algorithms, push toward production-grade reliability, and mentor teams while exploring DL/RL techniques to enhance performance on real robots.

Qualificações

• 8+ years designing, implementing, deploying control algorithms on real robots.
• Strong dynamics, kinematics, optimal control, and state estimation expertise.
• Proficient with hardware interfaces and sensors (IMUs, force/torque sensors).
• Production-grade C++ and safety-critical software development experience.
• Ability to bridge hardware, software, and algorithms for end-to-end systems.
• Interest in DL/RL/vision-language-action models for robotics.
• Bonus: experience shipping humanoid robots or whole-body control systems.

Responsabilidades

• Design, implement, and optimize the embedded control stack for general-purpose robots.
• Design motion planning and trajectory optimization for dynamic locomotion and manipulation.
• Build real-time state estimation pipelines for pose, contact, and force sensing.
• Formulate and solve optimal control problems for high-performance and stable behavior.
• Build modular software frameworks enabling rapid simulation-to-hardware iteration.
• Lead debugging, tuning, and validation of controllers on physical robots.

Conhecimentos

Embedded control

Real-time control

Dynamics & kinematics

Optimal control

State estimation

Sensor fusion

C++ Robotics

HW/SW integration

DL/RL basics

GPU parallelization

Humanoid robots

Descrição da oferta de emprego

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