Principal Ai/ Ml Robotics Engineer - Environmental Perception
Analog Devices Foundation
Edinburgh, Scotland, United Kingdom
Visual-inertial odometry (vio) expertise
Multi-sensor fusion with lidar and imu
3d slam and dynamic environment mapping
This role involves leading the development of foundational components for next-generation perception-enabled solutions at the intersection of embedded sensing, robotics, and machine learning
Job Summary
This role involves leading the development of foundational components for next-generation perception-enabled solutions at the intersection of embedded sensing, robotics, and machine learning.
The successful candidate will architect AI pipelines combining classical and learned methods to enable robust, real-time environmental understanding on edge devices.
Candidates must have a proven track record of deploying perception algorithms in real-world systems such as autonomous robots, drones, or self-driving platforms.
Matching Summary
This role involves leading the development of foundational components for next-generation perception-enabled solutions at the intersection of embedded sensing, robotics, and machine learning.
Skills & Requirements
Must-have
Visual-inertial odometry (VIO) expertise
Multi-sensor fusion with LiDAR and IMU
3D SLAM and dynamic environment mapping
Python and C++ programming proficiency
PyTorch, ROS, g2o, or Ceres framework experience
Nice-to-have
Self-supervised learning and foundation models
Transformer-based perception architectures
Industrial domain experience in factory automation
Open-source contributions to robotics projects
Sensor design and embedded AI hardware knowledge
Key Requirements
10+ years experience in robotics, computer vision, or AI
5+ years specific experience in SLAM, VO, or sensor fusion
3+ years in a technical leadership role
M.S. or Ph.D. in Robotics, Computer Science, or related field
Experience with real-time systems and simulators like Gazebo or Isaac Sim
Work Rights
US Citizens, US Permanent Residents, or protected individuals may be exempt from export licensing; others require review