Robotics is one of the few engineering fields where a strong portfolio can beat a fancy degree. Teams are small, timelines are short, and hiring managers care about one thing: can you make a robot do something real? Here's how to get in.
The skills that actually matter
Robotics is multi-disciplinary, but most roles lean on a core stack:
- Programming: C++ and Python are the lingua franca. ROS/ROS 2 shows up in a huge share of postings.
- Math & controls: linear algebra, kinematics, control theory. You don't need a PhD, but you need to be comfortable here.
- A specialty: perception (computer vision, sensor fusion), motion planning, controls/embedded, or mechanical/mechatronics. Depth in one beats shallow everything.
Build a portfolio that proves it
The single highest-leverage thing you can do: build something that works and show it.
- A small robot (even a hobby arm or rover) running your own control or perception code.
- A simulation project in Isaac Sim, Gazebo, or MuJoCo — great when you can't buy hardware.
- A perception model you trained on a real dataset, with the results documented.
Put it on GitHub with a clear README and a short video. A 30-second clip of your robot doing the thing is worth more than a paragraph of bullet points.
Where to apply — and how
Apply directly through companies' job boards, and apply early. Robotics roles get filled fast. Robotics Jobs HQ aggregates openings from real robotics companies and refreshes daily, so you can catch roles the day they post. Filter to your specialty:
Nail the interview
Robotics interviews mix coding (often C++/algorithms), domain questions (controls, transforms, sensor noise), and a deep dive on your projects. Be ready to explain why you made design choices, not just what you built. And know the company's product — robotics people can tell in thirty seconds whether you actually care about their robot.