Robotics Engineering & Research London

Genesis; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Genesis is seeking an experienced control systems engineer to design, implement, and optimize the embedded control stack for general-purpose robots. You will design motion planning and trajectory optimization, build real-time state estimation pipelines, and solve nonlinear MPC and optimization problems for high-performance behavior.

You will create modular software frameworks enabling rapid iteration between simulation and hardware, and lead debugging and validation on physical robots.

Qualifications

• Passion for control systems engineering and demonstrated excellence.
• Extensive experience designing, implementing, and deploying advanced control algorithms on real robotic systems (8+ years).
• Deep expertise in dynamics, kinematics, optimal control, and state estimation.
• Strong command of hardware interfaces, sensors (IMUs, force/torque), and actuation tech (motors, gearboxes, drivers).
• Production-level mastery of C++ with safety-critical software experience.
• Ability to bridge hardware, software and algorithms for end-to-end systems.
• Open mindset toward deep learning, RL, and vision-language-action models for robotics.
• Bonus: humanoid robots or whole-body control experience.
• Bonus: published work in control/state estimation/optimization.
• Bonus: GPUs for parallel optimization.

Responsibilities

• Design, implement, and optimize the embedded control stack for robots.
• Design motion planning and trajectory optimization algorithms.
• Build real-time state estimation pipelines for pose and sensing.
• Formulate and solve optimal control problems for high-performance behavior.
• Build modular software frameworks enabling simulation/hardware iteration.
• Lead debugging, tuning, and validation on physical robots.

Skills

Control systems engineering

C++ production-level

Robotics systems integration

Hardware-software bridge

State estimation

Dynamics and kinematics

GPU acceleration

Tools

GPUs

Job description

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