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- Tasks: Develop AI/ML solutions for robotics, focusing on real-time decision-making and task planning.
- Company: Join a leading semiconductor company at the forefront of AI and robotics innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in creating intelligent systems that revolutionise robotics.
- Qualifications: 5+ years in AI/ML, robotics, or computer vision; strong Python skills required.
- Other info: Collaborative environment with a focus on cutting-edge technology and career advancement.
The predicted salary is between 48000 - 72000 ÂŁ per year.
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™.
Job Description
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.
Senior Engineer, AI / ML Software (Robotics) in Newbury employer: Analog Devices
Contact Detail:
Analog Devices Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, AI / ML Software (Robotics) in Newbury
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Analog Devices. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, ML, and robotics. This is your chance to demonstrate your expertise and passion, so make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and real-world applications. Practice explaining complex ideas simply, as you’ll need to communicate effectively with multi-disciplinary teams at ADI.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Analog Devices.
We think you need these skills to ace Senior Engineer, AI / ML Software (Robotics) in Newbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Engineer, AI / ML Software. Highlight your experience in robotics, AI, and any relevant projects that showcase your skills in task planning and decision-making under uncertainty.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about AI and robotics. Share specific examples of your work that align with our mission at Analog Devices, and don’t forget to mention how you can contribute to our Edge AI team.
Showcase Your Technical Skills: Be sure to highlight your proficiency in Python and any experience with tools like ROS, PyTorch, or TensorFlow. We want to see how you've applied these skills in real-world scenarios, so include relevant projects or achievements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Analog Devices
✨Know Your Stuff
Make sure you brush up on your AI, robotics, and computer vision knowledge. Be ready to discuss specific projects you've worked on, especially those involving task planning and reinforcement learning. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in past roles. Think of examples where you had to adapt to dynamic environments or integrate various technologies. This is crucial for a role that involves developing robust AI-based robot policies.
✨Get Hands-On with Tools
Familiarise yourself with the tools mentioned in the job description, like ROS, PyTorch, and TensorFlow. If you can, try to demonstrate your proficiency with real-world sensor data and simulation tools during the interview. This hands-on experience will set you apart from other candidates.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining your technical insights in a way that’s easy to understand. Be prepared to discuss how you’ve worked with multi-disciplinary teams and contributed to architectural decisions. Clear communication can make a big difference!
