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Analog Devices

Senior AI/ML Robotics Engineer

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In-Office
Boston, MA
109K-150K Annually
In-Office
Boston, MA
109K-150K Annually

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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).

          

Senior AI/ML Robotics 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 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.

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.

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.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days

The expected wage range for a new hire into this position is $108,800 to $149,600.
  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

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