Every role in humanoid robotics.
Search 19 published guides by career path or stack layer. Each guide covers the work, skills, tools, proof projects and live hiring context.
- Robotics AI
Robotics AI Engineer
Robotics AI engineers build learning-based systems that help humanoid robots perceive, reason, choose actions, learn from data, and improve through evaluation on real robot tasks.
PathIntelligence & AutonomyLayerBrainEyesHandsLegs+3SWHWMathFieldSys - Perception and Sensor Intelligence
Perception Engineer
Perception engineers build the systems that let humanoid robots turn raw sensor data into useful understanding of the world.
PathIntelligence & AutonomyLayerEyesBrainHandsLegs+3SWHWMathFieldSys - Robotics Software
Robotics Software Engineer
Robotics software engineers build the software layer that lets a humanoid robot sense, decide, move, recover from errors, expose useful diagnostics, and operate safely outside a demo video.
PathIntelligence & AutonomyLayerBrainEyesHandsLegs+4SWHWMathFieldSys - Simulation and Robot Training Infrastructure
Simulation Engineer
Simulation engineers build the virtual worlds, robot models, physics pipelines, synthetic data systems, and test environments that let humanoid teams develop faster without putting every idea directly onto expensive hardware.
PathIntelligence & AutonomyLayerSimulationBrainEyesHands+4SWHWMathFieldSys - Data & Teleoperation
Data & Teleoperation Engineer
Data and teleoperation engineers build the systems that turn human demonstrations, teleoperation sessions, robot logs, sensor streams, and field failures into useful training data and engineering feedback.
PathIntelligence & AutonomyLayerDataFleetBrainHands+4SWHWMathFieldSys