Staff AI/ML Robotics Engineer
Analog Devices2 days ago
Limerick, IrelandStaff+
Responsibilities
- Design and implement physics-informed machine learning models for physically accurate, realistic, and efficient simulation.
- Develop and optimize hybrid physics- and data-driven simulation workflows across sensors, signal chains, robotics, perception, audio, and other physical systems.
- Build simulation and synthetic-data capabilities for robotics, robotic cognition, ToF, RGB-D, LiDAR, IMUs, audio, signal chains, and AI perception systems.
- Collaborate with hardware, AI, and simulation engineers to integrate simulation and synthetic data into engineering and AI workflows.
- Apply noise modeling, domain randomization, surrogate modeling, physics-based constraints, and system identification to improve simulation fidelity and reduce simulation-to-reality gaps.
- Develop and validate simulation models against real-world measurements and system behavior.
- Evaluate and adopt advances in physics-informed machine learning, synthetic data, simulation, and Physical Intelligence.
- Use simulation, machine learning, and engineering platforms including NVIDIA Isaac Sim, ROS/ROS2, and Universal Scene Description.
Requirements
- M.S. or Ph.D. in Physics, Robotics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
- At least 5 years of experience in simulation, machine learning, physical modeling, or related engineering fields, including hands-on physics-based or physics-informed modeling.
- Experience with advanced machine learning frameworks such as PyTorch or TensorFlow and scientific computing libraries.
- Demonstrated experience developing and deploying physics-informed, hybrid physics/ML, or data-driven models for simulation or related applications.
- Proficiency in Python and C++, including integrating machine learning models into simulation, engineering, or physical systems.
- Strong understanding of physical modeling, sensor physics, signal processing, or related physical-system fundamentals.
- Experience with synthetic data generation and validating simulation models against real-world data.
- Experience applying simulation to AI development, including perception, cognition, model training, system validation, or sim-to-real transfer.
- Preferred experience with open-source PIML, simulation, synthetic-data, or scientific-computing projects; sensor hardware design; signal-chain characterization or calibration; relevant publications; NVIDIA Isaac Sim; robotics or autonomous systems; audio, acoustics, sensor, or multiphysics simulation; and numerical solvers such as Ansys Workbench or COMSOL.
Benefits
- Limerick-based role on the Simulation Intelligence and Synthetic Data team.
- Required travel is 10% of the time.
- First shift/day schedule.
- Export licensing review may be required for applicants who are not U.S. citizens, U.S. permanent residents, or protected individuals when the position requires access to technical data.
Categories
ML EngineeringRobotics
About Analog Devices
Analog Devices, Inc. designs and sells analog, mixed-signal, RF, power, sensor, and digital signal processing ICs to OEMs across industrial, automotive, communications, consumer, and healthcare markets. Founded in 1965 and headquartered in Wilmington, Massachusetts, the NASDAQ-listed company earns revenue from catalog and application-specific semiconductors and supporting software used in applications from factory automation and vehicles to data centers and medical devices.