
Humanoid develops general-purpose humanoid robots for industrial and daily tasks. The technology combines AI and robotics to create adaptable, safe robots for hazardous and monotonous environments.…

Humanoid develops general-purpose humanoid robots for industrial and daily tasks. The technology combines AI and robotics to create adaptable, safe robots for hazardous and monotonous environments.…
What they build: Commercially scalable humanoid robots (HMND 01 family) and an AI stack called KinetIQ
Target customers: Enterprise automation for manufacturing, warehouses, logistics, retail and service sectors
Founded: 2024 (UK-based)
Notable funding: Reported Seed round June 2024 — $50.0M
Head: Founder & CEO: Artem Sokolov
Industrial and enterprise automation (manufacturing, warehouses, logistics, retail, 3PL, service/household tasks).
2024
Robotics Engineering
$50.0M
Reported seed round in June 2024 sized at $50.0M.
“Mitch Kapor listed as a lead investor on a company profile”
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Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha—our rapidly developed humanoid platform now running in real industrial pilots—and we’re growing the team to take it even further.
About The Role We're hiring a Low-Level Control Engineer to join our Control team based in Vancouver. In this role you will be responsible for designing, implementing, and validating joint- and actuator-level controllers that deliver high precision, responsiveness, and safety for complex robotic mechanisms.
The ideal candidate has a solid background in control theory and strong software engineering skills in C++ . You will work closely with other control and hardware engineers to model, tune, and optimize the behavior of real robots and their subsystems (i.e. limbs and end-effectors).
What You'll Do
Low-level Control Development
Tune actuator-level control loops
Develop and validate joint-space control loops such as impedance, admittance for multi-DoF systems in ROS2 / ROS2 Control
Work with embedded and communication layers (e.g., EtherCAT, CAN) to ensure deterministic timing and safety.
Apply modern control theory (PID, feedforward, observers, and state feedback) to achieve stability, performance, and robustness.
Mechanism Modeling & System Identification
Software Development & Integration
Collaboration & Cross-Disciplinary Work
What We're Looking For
What We Offer
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