Hybrid Applied Research – Physical AI

at Mobileye

• Job title: Applied Research – Physical AI
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Python, PyTorch
• Location requirements: Hybrid, Jerusalem, Israel

About the role

• Physical-AI Applied Researcher at Mobileye's CTO Group developing algorithms for decision-making in autonomous driving systems. Engaging in high-impact applied research with a focus on safety-critical systems.

Responsibilities

• Design and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
• Advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
• Integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
• Formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
• Lead research directions from conception to full-scale production.
• Develop using Python (PyTorch or similar frameworks) as well as C++/GPU/Cuda.

Requirements

• M.Sc/Ph.D. in Computer Science, Electrical Engineering, Robotics, Machine Learning, Applied Mathematics, or a related field.
• Proven experience in machine learning and deep learning.
• Demonstrated ability to conduct independent research (publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, etc. - advantage).
• Strong programming skills in Python; solid C++ experience - advantage.
• Experience in training large-scale models and working with real-world data.
• Intellectual curiosity, scientific ownership, and comfort operating in open-ended research environments.