Job Description
Autonomous Systems Engineer - AI for Robotics
We are seeking a highly skilled and experienced Autonomous Systems Engineer to join our team. As a key member of our Edge AI group, you will be responsible for developing and integrating task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods.
Responsibilities:
* Design and implement short and long-horizon planning systems for real-world robotic applications.
* Prototype and deploy scalable policy architectures that operate under tight latency and compute constraints at the edge.
* Contribute to the evolution of our Edge AI stack by connecting planning with low-level controls and high-level semantic reasoning.
Requirements
Qualifications and Experience
To be successful in this role, you will need to have the following qualifications and experience:
* 6+ years of experience in AI, robotics, or computer vision.
* Bachelor's degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred.
* Knowledgeable in the areas of robot locomotion, robot kinematics and robot dynamics.
* Proficient in Python, with practical experience using ROS, PyTorch or TensorFlow.
* Comfortable working with real-world sensor data (e.g., ToF, vision, IMU) and simulation tools like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal.
Benefits
Join ADI's Edge AI team to help create truly intelligent edge systems where sensing, learning, and acting happen in real time.
You'll work in a fast-paced, collaborative environment solving hard problems with people who care about impact, reliability, and real-world performance.
For positions requiring access to technical data, Analog Devices may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.
Applicants for this position except US Citizens, US Permanent Residents, and protected individuals may have to go through an export licensing review process.