Staff Software Engineer, Controls (Bay Area / Paris)

Genesis AI

105d

About The Position

In this role, you will be responsible for designing, implementing, and optimizing the embedded control stack for general-purpose robots. You will work on motion planning and trajectory optimization algorithms that facilitate dynamic locomotion and manipulation. Additionally, you will build real-time state estimation pipelines that handle pose, contact, and force sensing, effectively fusing heterogeneous sensor data under conditions of noise and uncertainty. Your work will also involve formulating and solving optimal control problems, including nonlinear Model Predictive Control (MPC), convex optimization, and trajectory optimization, to ensure high-performance and stable behavior of robotic systems. You will be tasked with building modular and robust software frameworks that enable rapid iteration between simulation and hardware, and you will lead the debugging, tuning, and validation of controllers directly on physical robots.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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 This Job Offers

• Career Level: Senior