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
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
Skills Required
- 8+ years experience designing, implementing, and deploying advanced control algorithms on real robotic systems
- Production-level mastery of C++ with experience building reliable, safety-critical software
- 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)
- Proven ability to bridge hardware, software, and algorithms to deliver robust end-to-end systems
- Passion for craft and demonstrated excellence in control systems engineering
- Open mind about deep learning, reinforcement learning, and vision-language-action models
- Experience shipping humanoid robots or whole-body control systems
- Impactful published work in control theory, state estimation, or mathematical optimization
- Familiarity with parallel computation on GPUs to accelerate optimization
What We Do
Genesis AI is a global full-stack robotics company developing general-purpose robots with human-level intelligence and capabilities. It aims to build foundational AI models that automate repetitive tasks across applications such as lab work and housekeeping. The company uses a proprietary physics engine to generate synthetic physical-world data, helping train robotics models for diverse real-world environments, and operates across Paris and Silicon Valley.
