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Build the intelligence behind the next driving decision.
We’re building a reinforcement-learning driving planner for complex, interactive road scenarios. We’re looking for a researcher to help take it from simulation to real vehicles.
You’ll develop policy models, rewards, and training methods. You’ll define how driving behavior is evaluated, analyze failures in closed loop, and validate improvements on the road. You’ll work in a small team at Mobileye and collaborate with control and other algorithm teams.
This is a high-impact role with direct influence on a core part of Mobileye’s
driving technology and its future products.
What will your job look like?
- Research and develop reinforcement-learning planning algorithms, including policy architectures, reward design, training objectives, and optimization methods.
- Train and evaluate RL policies for difficult, interactive driving scenarios, building on the existing learning-based planner and complementary classical components.
- Develop evaluation methods and relevant metrics for safety, progress, comfort, and interaction quality, and use them to guide experiments and analyze failures.
- Build simulation-based training and closed-loop evaluation workflows.
- Turn research ideas into reliable components of the driving stack.
All you need is:
- M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field.
- 3+ years of hands-on industry experience in deep learning, including designing and training neural networks.
- Hands-on reinforcement-learning experience through research or practical application.
- Experience in autonomous driving, robotics, motion planning, simulation, or closed-loop evaluation- an advantage
Skills Required
- M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field
- 3+ years of hands-on industry experience in deep learning, including designing and training neural networks
- Hands-on reinforcement-learning experience through research or practical application
- Experience in autonomous driving, robotics, motion planning, simulation, or closed-loop evaluation
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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