Principal AI / ML Engineer (Robotics)

Analog Devices; München; Vor Ort; EUR 80.000 - 120.000; Vollzeit

Zusammenfassung

A leading semiconductor company in Germany is seeking a Senior Robotics AI / ML Engineer to lead the development of robotic systems. The role involves designing task policies, collaborating with engineers, and driving innovations in Edge AI. The ideal candidate has over 10 years of experience in robotics or AI with proven leadership skills. This position offers a competitive salary and the opportunity to shape the future of robotics.

Qualifikationen

• 10+ years of experience in robotics, computer vision, or AI; with 3+ in a technical leadership role.
• Proven track record of deploying algorithms in real-world systems.
• Strong programming skills in Python.

Aufgaben

• Lead the design and deployment of expert and generalist policies.
• Drive design of task policies using hierarchical planning or reinforcement learning.
• Collaborate cross-functionally with embedded and systems engineers.

Kenntnisse

Robotics

Computer vision

AI

Python programming

Task and motion planning

Policy learning methods

Ausbildung

M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering

Tools

ROS

PyTorch

TensorFlow

Jobbeschreibung

About Analog Devices

Analog Devices, Inc. (NASDAQ : ) 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. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more atand onand.

Job Description

Senior Robotics AI / ML Engineer

Location: Ireland

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.

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Job Req Type: ExperiencedRequired | Travel: Yes, 10% of the time | Shift Type: 1st Shift / Days