Originally posted 22 October 2026 by the employer.
About the role
Mobileye is seeking a Reinforcement Learning Researcher in the Learned-Policy Group to build a reinforcement-learning driving planner for complex, interactive road scenarios and transition it from simulation to real vehicles. You will develop policy models, rewards, and training methods while collaborating with control and algorithm teams.
What you'll do
- Research and develop reinforcement-learning planning algorithms, including policy architectures, reward design, training objectives, and optimization methods.
- Train and evaluate RL policies for interactive driving scenarios, integrating with the learning-based planner and complementary classical components.
- Develop evaluation methods and metrics for safety, progress, comfort, and interaction quality 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.
What you'll need
- 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.
More semiconductor jobs: AI chip design jobs · Israel jobs
This role has been open 7 days — well below the 87-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
87 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, and who else is hiring
| Metric | Mobileye | All employers we track in this specialty (506 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 20 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 92 | 6367 · 147 employers |
| Median days open | 90 d | 87 d (+3 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Who's hiring in this category
- Qualcomm · 99 open roles · median 120 d
- NVIDIA · 89 open roles · median 62 d
- AMD · 32 open roles · median 112 d
- Micron Technology · 27 open roles · median 64 d
- Mobileye (this employer) · 20 open roles · median 90 d
- Analog Devices · 17 open roles · median 47 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 29 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.