Principal AI/ML Engineer (Robotics)
Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world.
Location
Ireland
Team
Edge AI Group, Analog Devices Inc. (ADI)
Job Description
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. This hands‑on leadership role seeks 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.
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 such as 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.
Legal & EEO Statement
For positions requiring access to technical data, Analog Devices, Inc. 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. As such, applicants for this position – except U.S. Citizens, U.S. Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
Job Details
Job Req Type: Experienced
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
Employment Type: Full‑time
Seniority Level: Mid‑Senior level
Job Function: Engineering and Information Technology
Industries: Semiconductor Manufacturing
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