Staff AI/ML Robotics Engineer

Staff AI/ML Robotics Engineer

ADI - Analog Devices

Limerick, Ireland

We are seeking a Senior AI/ML Robotics Engineer with expertise in physics-informed machine learning (PIML) to develop and enhance sensor simulation frameworks for fixed-arm robots and Autonomous Mobile Robots (AMRs

In this role, you will leverage your extensive expertise to develop custom sensor simulation models for advanced AI applications. You will collaborate with a talented team of hardware, AI, and simulation engineers to drive the future of robotics simulation, with a focus on closing the simulation-to-reality gap to ensure that our simulations accurately reflect real-world performance.

Responsibilities

• Design and implement physics-informed machine learning models for sensor simulation, ensuring physical accuracy and realism;
• Develop and optimize simulation workflows that combine physics-based modelling with data-driven approaches for sensors such as ToF, RGB-D, LiDAR, and IMUs;
• Collaborate with hardware, AI, and simulation engineers to integrate simulation outputs into real-world systems;
• Apply techniques such as noise modelling, domain randomization, and physics-based constraints to reduce the sim-to-real gap;
• Stay current with advancements in PIML, sensor simulation, and robotics, and contribute to the adoption of innovative solutions within the team;
• Utilize platforms such as NVIDIA Isaac Sim, ROS/ROS2, and Universal Scene Description (USD) for simulation development.

Qualifications

• M.S. or Ph.D. in Physics, Robotics, Computer Science, Electrical Engineering, or a related field;
• 3+ years of experience in simulation, machine learning, or robotics, with hands-on experience in physics-based or physics-informed modelling;
• Experience with advanced ML frameworks (e.g., PyTorch, TensorFlow) and scientific computing libraries;
• Demonstrated experience developing and deploying PIML models for sensor simulation or related applications;
• Proficiency in Python and C++, with experience integrating PIML models into simulation platforms and robotic systems;
• Understanding of sensor physics, signal processing, and sim-to-real transfer challenges;
• Experience with synthetic data generation and validation of simulation models against real-world data.

Bonus Experience

• Contributions to open-source PIML or simulation projects;
• Familiarity with sensor hardware design and calibration;
• Publications or project experience in physics-informed machine learning or sensor simulation;
• Experience with Nvidia Isaac Sim or other robotic simulation platforms;
• Proven track record of delivering simulation-driven workflows for AI model training, system validation, or perception testing.