Every role in humanoid robotics.
19 published role guides across 12 stack areas. Each guide covers the work, the skills, the tools, the projects that prove ability, and the companies hiring today.
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.
Electrical Systems Engineer
Electrical systems engineers design, integrate, test, and improve the electrical hardware that lets a humanoid robot power up, sense, compute, move, charge, communicate, and survive real-world use.
Manipulation Engineer
Manipulation engineers make humanoid robots use their arms, hands, fingers, sensors, and learned behaviours to interact with the physical world.
Perception Engineer
Perception engineers build the systems that let humanoid robots turn raw sensor data into useful understanding of the world.
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.
Robotics Product Manager
Robotics product managers decide what a robot product should become, which customer problems matter first, what the robot must prove before launch, and which trade-offs are worth making across hardware, software, AI, safety, operations, cost, and deployment.
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.
Robotics Technical Program Manager
Robotics technical program managers help complex robot programs move from ambiguous idea to working hardware, tested software, pilot deployment, and eventually scalable production.
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.