Staff AI/ML Robotics Engineer

We are seeking a Staff 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.
• 5+ 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.

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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For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days