Robotics Engineer
Robotics Engineers design and program robotic systems that integrate AI for perception, decision-making, and movement. The field is converging rapidly with machine learning as embodied AI advances.
Median Salary
$155,000
Job Growth
High — manufacturing automation, logistics, healthcare robotics growing rapidly
Experience Level
Entry to Leadership
Salary Progression
| Experience Level | Annual Salary |
|---|---|
| Entry Level | $105,000 |
| Mid-Level (5-8 years) | $155,000 |
| Senior (8-12 years) | $210,000 |
| Leadership / Principal | $260,000+ |
What Does a Robotics Engineer Do?
Robotics Engineers design and build systems where robots perceive the world, make decisions, and take physical actions. They might build autonomous warehouse robots that navigate, pick, and place items, program robotic arms that perform complex assembly tasks, develop surgical robots that augment physician capabilities, or create legged robots that navigate difficult terrain. They work across perception (using cameras and sensors to understand the environment), planning (deciding what to do), and control (executing movements smoothly). They handle real-world challenges like sensor noise, uncertainty, and handling failures. They increasingly apply machine learning—using computer vision for perception, reinforcement learning for movement optimization, and AI for decision-making.
A Typical Day
System architecture: Design new robot system architecture for warehouse application. Decide on sensors, computation, and software frameworks.
Perception development: Integrate vision system to detect packages and obstacles. Debug false detections.
Planning: Implement path planning algorithm. Test collision avoidance and handling of dynamic obstacles.
Control tuning: Adjust robot motor controllers. Ensure smooth, reliable movement execution.
Testing: Deploy robot in real warehouse environment. Identify edge cases and failure modes.
Debugging: Robot failed to grasp item correctly. Debug sensor data, planning, and control issues.
Optimization: Robot latency too high. Profile code. Optimize perception pipeline.
Key Skills
Career Progression
Robotics engineers come from diverse engineering backgrounds. Early-career engineers focus on specific subsystems—perception, planning, or control. Mid-level engineers lead larger robotic systems, integrate multiple components, mentor junior engineers, and understand full robot lifecycle. Senior engineers architect complex robotic systems, make technology choices, specialize in domains like humanoids or autonomous vehicles, and often lead research directions.
How to Get Started
Learn ROS2: Study Robot Operating System 2. Understand how robotics software is organized and communicates.
Master kinematics and dynamics: Understand how robots move. Study forward kinematics, inverse kinematics, and dynamics.
Learn control systems: Study feedback control, PID control, and control theory basics.
Build with robotics platforms: Start with accessible robots (e.g., TurtleBot, UR robots). Program them using ROS2.
Study perception: Learn computer vision, sensor fusion, and SLAM (Simultaneous Localization and Mapping).
Understand ML for robotics: Study reinforcement learning for robot control. Understand how to use vision models in robot applications.
Join robotics communities: Contribute to open-source robotics projects. Participate in robotics competitions.
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Explore Track →Frequently Asked Questions
Is robotics engineering more hardware or software?▼
Modern robotics is increasingly software-focused. Understanding hardware basics matters, but you'll spend more time on perception algorithms, planning, control, and AI. If you want to specialize in motors and mechanics, that's different.
Do I need a robotics degree to become a robotics engineer?▼
No. Many robotics engineers come from software, mechanical engineering, electrical engineering, or physics backgrounds. What matters is learning ROS, computer vision, kinematics, and dynamics.
What's happening with robotics and AI/ML in 2026?▼
Robotics and AI are converging. Machine learning is increasingly used for perception, planning, and control. Reinforcement learning enables robots to learn from experience. This is creating unprecedented demand for engineers combining robotics and ML expertise.
What industries are hiring robotics engineers?▼
Manufacturing (automation, assembly), logistics (warehouse robotics, delivery), healthcare (surgical robots, rehabilitation), agriculture, construction, and research institutions.
Is robotics engineering similar to game programming?▼
Both involve simulation and physics, but robotics is grounded in real-world constraints and sensor noise. Game physics is often simplified. Roboticists need to understand real-world challenges.
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Last updated: March 2026