Staff AI/ML Robotics Engineer - Limerick, Ireland
Originally posted 27 August 2026 by the employer.
This role focuses on physics-informed machine learning (PIML) and sensor simulation for robots.
About the role
This role involves developing and enhancing sensor simulation frameworks for fixed-arm robots and Autonomous Mobile Robots (AMRs) using physics-informed machine learning.
What you'll do
- Design and implement physics-informed machine learning models for sensor simulation.
- Develop and optimize simulation workflows for sensors such as ToF, RGB-D, LiDAR, and IMUs.
- Collaborate to integrate simulation outputs into real-world systems.
- Apply 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.
- Utilize platforms such as NVIDIA Isaac Sim, ROS/ROS2, and Universal Scene Description (USD) for simulation development.
What you'll need
- 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.
Nice to have
- 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.
Skills: physics-informed machine learning, sensor simulation, robotics, sim-to-real gap, NVIDIA Isaac Sim, PyTorch
This role has been open 60 days — well below the 89-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
507
|
Median days open
89 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Analog Devices | All employers we track in this specialty (507 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 18 | 507 |
| Open roles in the wider Software, Firmware & Systems family | 105 | 6268 · 146 employers |
| Median days open | 45 d | 89 d (−44 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: physics-informed machine learning, sensor simulation, robotics, sim-to-real gap, NVIDIA Isaac Sim, PyTorch
Who's hiring in this category
- Qualcomm · 104 open roles · median 118 d
- NVIDIA · 88 open roles · median 60 d
- AMD · 32 open roles · median 110 d
- Micron Technology · 27 open roles · median 62 d
- Mobileye · 20 open roles · median 88 d
- Analog Devices (this employer) · 18 open roles · median 45 d
How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 27 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.