Understanding Robotics Job Titles: Controls, Perception, ML, Mechatronics

Decoding what these roles actually do day to day, since the titles alone don't always make it obvious.

Robotics job postings use a set of fairly consistent titles across companies, but the specific responsibilities behind each can vary somewhat by organization — worth understanding the general pattern before you're deep into interviews.

The common categories

Controls engineers design and tune the algorithms that turn desired motion into actual joint commands — balance, walking, manipulation control. Perception engineers build the systems that let a robot understand its environment from sensor data — cameras, LiDAR, sensor fusion. Machine learning engineers focus on training and deploying learned models, often for perception or control policies specifically.

A few more worth knowing

Mechatronics engineers work at the intersection of mechanical and electrical design — actuator integration, wiring, sensor mounting. Systems engineers focus on how all these different subsystems integrate and work together reliably as a whole, often a role that becomes more prominent as a company's robot and team both grow more complex.