Senior Engineer, AI / ML Software (Robotics)

Analog Devices; Newbury; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading semiconductor company is seeking a Senior Robotics AI / ML Engineer to drive advancements in robotics. You will work on developing robotic policies using AI and ensure efficiency while collaborating with hardware and AI software experts. The ideal candidate has over 5 years of experience in AI and robotics, with a background in Python and frameworks like ROS and TensorFlow. This role is essential for reimagining machine intelligence in real-time applications.

Qualifications

• 5+ years of experience in AI, robotics, or computer vision.
• Proficient in Python with practical experience in ROS and machine learning frameworks.
• Knowledgeable in robot dynamics and kinematics.

Responsibilities

• Develop and integrate task policies using hierarchical planning methods.
• Design short and long-horizon planning systems for robotic applications.
• Prototype scalable policy architectures operating under compute constraints.

Skills

AI

robotics

computer vision

Python

ROS

PyTorch

TensorFlow

Education

Bachelor’s degree in a relevant field

M.S. or Ph.D. preferred

Tools

Docker

CI / CD pipelines

Git

Gazebo

Isaac Sim

MuJoCo

OpenAI Gym

Unreal

Job description

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're looking for a Staff AI / ML Engineer with deep expertise in robot policies, task planning, computer vision and decision‑making under uncertainty. Your work will drive how autonomous systems reason about goals, decompose tasks, and adapt in dynamic environments.

You’ll be a core contributor to the development of robust and efficient AI‑based robot policies, working alongside experts in hardware, embedded systems, and AI software. This is a hands‑on role that blends applied research with production‑grade engineering.

Responsibilities

• Develop and integrate task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods.
• Design and implement short and long‑horizon planning systems for real-world robotic applications.
• Prototype and deploy scalable policy architectures that operate under tight latency and compute constraints at the Edge.
• Contribute to the evolution of our Edge AI stack by connecting planning with low‑level controls and high‑level semantic reasoning.
• Work with real‑world and simulated sensor data to test and refine models; contribute to internal datasets and benchmarking tools.
• Participate in project planning, code reviews, and architectural discussions; take ownership of technical areas and deliver high-quality, reliable implementations.
• Stay current with trends in AI for robotics (e.g., expert and generalist policies, foundation models), and help integrate relevant advancements into our workflows.

Qualifications

• 5+ years of experience in AI, robotics, or computer vision.
• Bachelor’s degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred.
• Knowledgeable in the areas of robot locomotion, robot kinematics and robot dynamics.
• Proficient in Python, with practical experience using ROS, PyTorch or TensorFlow.
• Comfortable working with real‑world sensor data (e.g., ToF, vision, IMU) and simulation tools like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal.
• Experience with DevOps / MLOps tools: Docker, CI / CD pipelines, version control (Git).
• Skilled at communicating technical insights, collaborating with multi-disciplinary teams, and contributing to shared architectural decisions.

Bonus Experience

• Experience integrating perception models with control loops, path planning, or robot operating systems (ROS2).
• Familiarity with industrial robotics, fixed arm robots, or autonomous systems in structured environments.
• Contributions to open‑source robotics or AI frameworks.

Why Join Us?

Join ADI’s Edge AI team to help create truly intelligent edge systems — where sensing, learning, and acting happen in real time. You’ll work in a fast‑paced, collaborative environment, solving hard problems with people who care about impact, reliability, and real‑world performance.

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