Principal AI/ML Engineer (Robotics)

Analog Devices; Cork; On-site; EUR 140,000 - 210,000; Full time

Job summary

Analog Devices, Inc. in Munich is seeking a Principal Robotics AI/ML Engineer to lead development of robot policies, task planning, computer vision and decision-making under uncertainty. You will guide research-to-production for industrial autonomous systems and mentor engineers across disciplines.

You will drive architectural roadmaps, collaborate with hardware, software, and field teams, and push real-world deployments in edge AI environments.

Qualifications

• 10+ years of experience in robotics, computer vision, control theory or AI; with 3+ years in a technical leadership role.
• 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 robot locomotion, kinematics and dynamics.
• Comfortable 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).
• Excellent communicator and collaborator — capable of leading multi-disciplinary teams and influencing stakeholders across hardware, software, and business domains.

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 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.

Skills

Robotics expertise

Task planning

Policy learning

Decision making under uncertainty

Team leadership

Communication

Education

M.S. or Ph.D. in Robotics/CS/EE or related field

Tools

ROS

PyTorch

TensorFlow

Docker

Kubernetes

Gazebo

Unreal Engine

Job description

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, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.

Principal Robotics AI/ML Engineer

Location: Munich

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

• 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.

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.

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 US Citizens, US 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 Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days