Principal AI/ML Engineer (Robotics)

Principal AI/ML Engineer (Robotics)

ADI - Analog Devices

Multiple Locations

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

• 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.
• Contribute to the broader AI platform architecture, CI/CD pipelines, and MLOps practices.

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.