Physical AI and
Robotics Jobs
Explore open roles in Physical AI and robotics across autonomy, perception, controls, simulation, machine learning, and embedded systems. Find opportunities from startups and established companies building intelligent systems for the real world.
Jobs Directory Module Under Active Build
Our highly targeted indexing engine will feature 100+ active roles from cutting-edge robotics laboratories, B2B software firms, and Physical AI startups. Early candidates registered on the waitlist will receive priority matching alerts.
Submit Your Profile for Early OnboardingCommon Career Questions
Insights into qualifications, profiles, and requirements in the field of intelligent systems and robotics.
The most common skills include Python, C++, ROS2, Linux, simulation, perception, controls, and machine learning. Depending on the role, employers may also look for embedded systems experience, computer vision, Docker, and hands-on robotics project work.
You may find roles such as robotics engineer, autonomy engineer, perception engineer, controls engineer, simulation engineer, and AI/ML engineer. Some listings may focus more on robotics software, while others may be centered on hardware, motion planning, or intelligent automation.
Yes, in many cases they can. Some employers are open to candidates from software engineering, machine learning, or embedded systems backgrounds, especially if they have project experience with robotics, automation, or simulation.