Key Takeaways
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Controls engineers design the systems that translate high-level robot decisions into precise physical motion, working at the boundary between software and hardware.
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Mid-level controls engineers in the US earn between $125k and $175k, with senior roles at robotics and aerospace companies reaching $215k;
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Core skills are control theory, C++ for real-time systems, and robotics dynamics; ROS 2 and Python are increasingly standard alongside them.
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A PE (Professional Engineer) license is not required for most robotics controls roles; it matters primarily in regulated industrial and civil applications.
Market Overview Cards
The domain of control engineering is responsible for ensuring that mechanical devices function in the desired manner. The moment when the autonomy software determines the target location and the motion planning module determines the route, the role of the control module is to determine the precise method of reaching the target point -- the amount of power to use, the velocity, and the kind of feedback control to employ to compensate for any disturbances.
The present article is dedicated to the analysis of the duties of control engineers, their salary expectations, skill set, and preparation for the profession.
What Is a Controls Engineer?
The controls engineer is the one who designs and implements feedback mechanisms controlling the behavior of physical devices. When it comes to robotics, this implies developing control algorithms that determine the behavior of actuators, motors, and robotic joints according to the whole mission, taking into account physical phenomena such as friction, changes in load, and loose components.
This discipline emerged from classic mechanical and electrical engineering, but its development was driven by such innovations as model-based design, software-based controls, and learning controllers. Contemporary robotics controls engineers are writing C++ programs with an extremely high update rate, implementing model predictive controllers for legged robots, and combining learned components with feedback control systems.
Safety standards for physical robot systems, including those covered by OSHA's robotics safety guidelines, are a relevant context for controls engineers working in industrial and collaborative robotics applications.
Controls vs Robotics Engineering: What Is the Difference?
| Dimension | Controls Engineering | Robotics Engineering (General) |
|---|---|---|
| Core question | How does the machine execute motion correctly? | How does the machine software stack work as a system? |
| Primary focus | Feedback loops, stability, dynamics | Integration of perception, planning, controls, and middleware |
| Key techniques | PID, LQR, MPC, state-space modeling | ROS 2, system architecture, sensor integration |
| Hardware proximity | Very close; often writing firmware and real-time code | Variable; often higher-level software |
| Math intensity | High: differential equations, Laplace transforms | Moderate to high depending on specialization |
| Typical background | Mechanical or electrical engineering | Computer science or robotics |
Controls engineering is one of the most hardware-adjacent roles in robotics. Engineers who come from mechanical or electrical engineering backgrounds often find it a natural fit. Software engineers transitioning into robotics sometimes target controls after building foundational knowledge in dynamics and control theory. For transition guidance, see our guide on how to move from software engineering into robotics.
Role Snapshot Cards
Controls Engineer roles have seen renewed demand driven by the humanoid robot sector, where legged locomotion and whole-body control present some of the hardest open engineering problems in Physical AI; Our platform data shows that controls roles at humanoid robot companies now command compensation 15 to 25% higher than equivalent controls roles in traditional industrial automation. - Physical AI Jobs
Browse current openings: controls engineer job listings and motion planning engineer positions.
Skill Demand Cards
Gazebo is the most widely used open-source robotics simulator for testing and validating control systems before deploying to hardware. Webots is another simulator used in academic and early-stage robotics development for controls testing.
For a full guide to skills across all Physical AI engineering disciplines, see our analysis of what skills you need for robotics and Physical AI careers.
Motion Control Systems: What Controls Engineers Build
Motion control is the application of control theory to the precise movement of mechanical systems. In robotics, this spans a wide range of systems and challenges:
Robot arms and manipulators: Joint-space and Cartesian-space control, torque control, compliance control for safe human-robot interaction, and force control for tasks requiring delicate touch.
Legged robots: Balance control, gait generation, whole-body control that coordinates all limbs simultaneously. This is one of the most technically demanding areas in robotics controls, and it is where some of the most competitive compensation is found.
Mobile robots and vehicles: Velocity control, path following, stability control on uneven terrain, and coordination with navigation stacks.
Actuator and drive systems: Low-level motor control, current and torque loops running at multi-kilohertz rates, and hardware-in-the-loop testing.
Whole-body control for humanoid robots is the controls challenge drawing the most senior talent in the field right now; The problem requires combining classical control theory with learned dynamics models & running the result at real-time rates on hardware with tight power and weight constraints. There are very few engineers globally who can do this well. - Robotica Network
Industrial Automation Careers for Controls Engineers
Industrial automation remains one of the largest employers of controls engineers globally. The transition toward AI-driven manufacturing is creating new demand for controls engineers who can work alongside perception and planning systems, not just program fixed robot paths.
Market research from Precedence Research projects the global robotics market to grow substantially through the decade, with industrial automation representing the largest segment by revenue. This growth translates directly into sustained demand for controls engineering talent.
Application Sector Cards
Connect with the controls and Physical AI engineering community through Robotica Network, and browse additional listings at Physical AI and robotics jobs on Robotica Network.
FAQs
What does a controls engineer do in robotics?
A controls engineer designs systems that help robots move correctly and safely. They work with motors, actuators, feedback systems, and algorithms to make robot movements stable and precise.
What is the difference between controls and autonomy?
Autonomy decides what a robot should do, such as which path to take. Controls decides how the robot physically performs that action, such as how much motor power to use.
What skills do controls engineers need?
Core skills include C++, control theory, robotics dynamics, and Python. ROS 2, MATLAB, Simulink, and ROS 2 Control are also useful skills.
What is the controls engineer salary?
Mid-level controls engineers in the US typically earn $125k to $175k. Humanoid and legged robotics roles can reach $145k to $200k. Senior roles can reach $215k to $250k, while entry-level positions usually start at $85k to $115k.
Do controls engineers need a PE license?
No. A PE license is not required for most robotics controls jobs. Technical skills, project experience, and robotics knowledge are usually more important.
Are remote controls engineer jobs available?
Remote controls jobs are limited because the work often involves physical robots and testing equipment. Some simulation and software work can be done remotely, but most roles require significant on-site work.
Browse all open Physical AI and robotics engineering jobs, or explore related roles including autonomy engineer positions and SLAM engineer jobs.