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, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.
Staff 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.
#LI-BF1
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: ExperiencedRequired Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
Skills Required
- 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
- Hands-on experience with 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 machine learning models for sensor simulation or related applications
- Proficiency in Python and C++
- Experience integrating physics-informed machine learning models into simulation platforms and robotic systems
- Understanding of sensor physics, signal processing, and simulation-to-reality transfer challenges
- Experience with synthetic data generation and validation of simulation models against real-world data
- Contributions to open-source physics-informed machine learning 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 delivering simulation-driven workflows for AI model training, system validation, or perception testing
Analog Devices Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Analog Devices and has not been reviewed or approved by Analog Devices.
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Retirement Support — The 401(k) program is described as a standout feature, with company contribution up to 8% of base salary and immediate vesting. This structure strengthens long-term value even when cash compensation perceptions vary.
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Healthcare Strength — Health coverage is positioned as comprehensive, including medical, dental, and vision options along with disability and life insurance. Day-one eligibility and multiple plan choices add to perceived robustness.
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Leave & Time Off Breadth — Paid time off appears broad, with vacation ranging from roughly 17–25 days and increasing up to five weeks with tenure, alongside sick time and paid holidays. Parental leave and related time-off provisions further expand coverage.
Analog Devices Insights
What We Do
Analog Devices, Inc. (NASDAQ: ADI) operates at the center of the modern digital economy, converting real-world phenomena into actionable insight with its comprehensive suite of analog and mixed signal, power management, radio frequency (RF), and digital and sensor technologies. ADI serves 125,000 customers worldwide with more than 75,000 products in the industrial, communications, automotive, and consumer markets. ADI is headquartered in Wilmington, MA.
