Careers
Start here
Whether you are applying today, choosing a discipline or still mapping the field, each route answers a different question.
The stack
Twelve layers carry a humanoid from perception to a product someone buys. Most people join at one layer and grow across two or three.
Career paths
Every role in humanoid robotics sits in one of four paths. Start with the kind of problem you want to solve, then read the roles behind it.
Software, data, perception, learning
Write the software and train the models that let a humanoid see, understand, and decide what to do.
Joints, power, electronics, controls
Design the joints, motors, electronics, and control loops that turn decisions into steady movement.
Integration, validation, manufacturing, operation
Put the whole robot together, prove it works the same way every time, and keep it running outside the lab.
Customer workflows, roadmap, execution
Turn what the robot can do into something a customer can actually use, on a roadmap the team can actually ship.
Selected roles
One representative role from each path — what the person actually does, and where it sits in the stack.
Intelligence & Autonomy
A robotics AI engineer builds and deploys the learning systems that help humanoid robots turn data into useful physical behavior.
Layer 01 · Brain
Motion & Hardware
A controls engineer makes the robot physically obey intent.
Layer 04 · Legs
Systems, Validation & Deployment
A robotics systems / integration engineer connects the robot's subsystems, brings the full robot up, finds cross-disciplinary failures, and turns messy robot problems into fixable engineering work.
Layer 05 · Body
Product & Delivery
A robotics product manager turns customer workflows, technical constraints, business goals, and real robot evidence into a focused roadmap that engineering and deployment teams can execute.
Layer 12 · Product
Next step
Apply to something open today, or read the work behind the title first.