Location: Edinburgh, Scotland
Team: Edge AI Group, Analog Devices Inc. (ADI)
Analog Devices' Edge AI team is reimagining how machines perceive, decide, and act in the world around them. We're developing intelligent systems that bring together best-in-class sensing with real-time AI.
We are looking for a Principal Engineer with deep domain expertise in robot policies, task planning, computer vision and decision-making under uncertainty to lead the development of real-world expert and generalist robot policies. Your work will drive how autonomous systems reason about goals, decompose tasks, and adapt in dynamic environments.
You will join a high-impact team developing foundational components for ADI's next wave of robotics solutions. This is a hands-on leadership role for someone who thrives on solving open-ended challenges, defining technical roadmaps, and mentoring other engineers.
Responsibilities
Qualifications
10+ years of experience in robotics, computer vision, control theory or AI; with 3+ years in a technical leadership role.
M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field.
Demonstrated expertise in at least one of the following:
Task and motion planning
Policy learning methods
Robot foundation models
Decision making under uncertainty
Multi-sensor fusion (camera, LiDAR, IMU, encoders)
Robot control and integration
Proven track record of deploying algorithms in real-world systems.
Strong programming skills in Python, with experience in frameworks like ROS, PyTorch or Tensorflow.
Deep knowledge in the areas of robot locomotion, robot kinematics and robot dynamics.
Comfortable working with real-time systems, embedded platforms, or simulators such as Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal Engine.
Familiar with MLOps and software best practices: CI/CD, containerization (Docker), orchestration (Kubernetes), etc.
Excellent communicator and collaborator — capable of leading multi-disciplinary teams and influencing stakeholders across hardware, software, and business domains.
Bonus Experience (Nice to Have)
Familiarity with industrial domains: factory automation, AMRs, predictive maintenance, etc.
Prior contributions to open-source projects
Understanding of sensor design, signal processing, or embedded AI hardware platforms.
Why Join ADI?
Join us in shaping the future of edge intelligence — where your work bridges the gap between sensing and understanding, and where you'll help machines not just gather data, but act meaningfully in the world.