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LeadOfficeLondon

Staff Robotics Control Engineer

H
Humanoid
Уровень
Lead
Формат
Office
О роли

Описание вакансии

About the company

Humanoid builds the world's most capable, commercially-scalable, and safe humanoid robots. The HMND-01 platform is being deployed in real industrial environments.

Responsibilities
  • Lead the evolution of the Wheeled Alpha whole-body controller: task formulation, prioritisation, weighting, constraint handling and solver selection
  • Coordinate wheeled base, torso and dual-arm motion within a single whole-body formulation
  • Own the constraint layer — self-collision avoidance, joint and velocity limit guarding, singularity handling, feasibility handling and recovery
  • Drive evolution toward predictive formulations, evaluating and developing MPC-based whole-body control
  • Own the dynamic models: inertial, gravity and friction modelling, system identification, online payload estimation
  • Advance compliance and force behaviour — impedance, admittance and force control
  • Make whole-body control a first-class citizen of the safety architecture
  • Define performance metrics and insist on deterministic, reproducible evaluation
  • Mentor control engineers on optimisation-based control, numerical robustness and hardware debugging
  • Work with hardware teams so control constraints and mechanical design decisions stay coherent
Requirements
  • Deep expertise in optimisation-based whole-body control: hierarchical and weighted QP formulations, task prioritisation, constraint handling
  • Strong command of the classical WBC toolkit — operational space and task-space control, inverse dynamics and IK, redundancy resolution, nullspace projection, impedance and admittance control, contact and force control
  • Working knowledge of MPC formulations for whole-body or mobile-manipulation control
  • Deployed whole-body controllers on real high-DoF hardware
  • Practical fluency with QP/NLP solvers and their failure modes
  • Strong dynamic modelling foundations: rigid body kinematics/dynamics, inertial and friction system identification, payload/external-load estimation
  • Expert modern C++ for real-time control with Python for analysis and prototyping
  • Track record of taking control algorithms to production reliability, plus technical leadership and mentoring
Conditions
  • Competitive equity: stock options with meaningful upside
  • 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days
  • Private healthcare, including virtual and in-person care
  • Pension scheme with 8% total contribution
  • Free daily breakfast, catered lunch, and snacks in-office
Стек и навыки

С чем работаем