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Robotics

Genesis· Engineering & Research
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Hybrid (London)Full-timePosted 1mo ago

About the role

Embedded control, motion planning, state estimation, and optimal control for general-purpose robots in a hybrid London setting, combining simulation and hardware with robust software frameworks.

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

Qualifications

  • 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

Skills

Required:control systems engineeringembedded systemsC++ programminghardware interfaces and sensorsstate estimationmotion planning

Benefits

  • 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
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Genesis

A new future is at hand.

We are a new generation of robotics builders, united by a shared mission to push the boundaries of physical AI.

AIGENEGenesisfrontier-labsheadline-ai-europe-100-2026intelligencerobotics
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