Principal AI/ML Robotics Simulation Engineer at Analog Devices, Inc. - Canada

Valencia, Valencian Community, Spain -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Robotics Simulation, Sensor Modelling, Mechanical Validation, Python, C++, FEA Tools, Ansys, Comsol, Abaqus, ML Frameworks, Synthetic Data Generation, Physics-Informed Machine Learning, Domain Randomization, Simulation Platforms, Real-World Validation, Collaboration

Industry

Semiconductor Manufacturing

Description

About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) 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 at www.analog.com and on LinkedIn and Twitter (X). Principal AI/ML Robotics Simulation Engineer Location: Limerick Team: Edge AI Group, Analog Devices Inc. (ADI) Analog Devices’ Edge AI team is on a mission to redefine how machines perceive and interact with the world. We’re building real-time, intelligent systems that combine world-class sensor technology with cutting-edge AI — at the Edge, where milliseconds matter. We are seeking a Principal AI/ML Robotics Simulation Engineer to lead the development of high-fidelity simulations and real-world validation workflows for robotic systems, including fixed-arm robots and humanoids. This role combines deep expertise in sensor simulation, mechanical modelling, and AI-driven data workflows to ensure our systems perform reliably in both virtual and physical environments. You will collaborate across hardware, AI, and simulation teams to design custom sensor models, generate synthetic datasets, and validate simulation assets against real-world data. You will also contribute to the development of physics-informed machine learning models and mechanical simulations using FEA tools to enhance realism and predictive accuracy. Responsibilities Sensor Simulation & Modelling: Design and implement custom sensor models (e.g., ToF, RGB-D, LiDAR, IMUs) in simulation platforms such as NVIDIA Isaac Sim, leveraging USD for integration. Mechanical Simulation & FEA: Apply traditional numerical simulation techniques (e.g., FEA) to model mechanical behaviour of robotic components. Use tools such as Ansys, Comsol, or Abaqus to simulate stress, deformation, and dynamic response. Sim-to-Real Alignment: Lead efforts to close the sim-to-real gap in robotics use-cases through domain randomization, noise modelling, and physics-based constraints. Validate simulation outputs against real-world data. Synthetic Data Generation: Develop simulation-driven workflows to produce high-quality synthetic datasets for training AI models, including perception, control, and physics-informed neural networks. ML Integration: Collaborate with AI/ML engineers to integrate simulation outputs into model training pipelines, especially for physics-informed machine learning (PIML) applications. Field Validation & Support: Oversee on-site testing and validation of robotic platforms and sensor arrays, ensuring simulation fidelity and real-world performance alignment. Innovation & Leadership: Stay current with advancements in robotics simulation, sensor technologies, and AI. Mentor junior engineers and guide the adoption of innovative simulation and validation techniques.

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Responsibilities

Lead the development of high-fidelity simulations and real-world validation workflows for robotic systems. Collaborate across hardware, AI, and simulation teams to design custom sensor models and validate simulation assets against real-world data.