Job Title: Expert Robotics Engineer
About this opportunity:
Analog Devices is seeking a skilled robotics engineer to lead the development of real-world expert and generalist robot policies. As a key member of our Edge AI team, you will design and deploy intelligent systems that bring together best-in-class sensing with real-time AI.
Key Responsibilities:
* Lead the design and deployment of expert and generalist policies that enable industrial targeted tasksets to be enacted.
* Drive the design of task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods.
* Develop real-world and simulation-based datasets for benchmarking and validation; guide sensor selection and system integration.
* Collaborate cross-functionally with embedded, hardware, and systems engineers to bring scalable solutions from research to production.
* Stay current with the state of the art in robotics, Edge AI, and self-supervised learning — and guide the team in adopting innovative technologies.
Qualifications:
Requirements:
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.
Preferred Skills:
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.
Familiarity with MLOps and software best practices: CI/CD, containerization (Docker), orchestration (Kubernetes), etc.
Why Join Us?
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.
We are an equal opportunity employer, committed to diversity and inclusion.