R&D
AI Engineer for Localization Team
You will be part of Mobileye's REM (Road Experience Management) department, which is responsible for the automatic High-Definition map-making process, which is a key technology in Mobileye's autonomous driving and high-end Driving Assistance systems. Vision-based localization is a key enabler for utilizing and creating the maps. Our group is responsible for aligning the map with the world, and reporting detected changes during the drive. Our technology is safety-critical, and the code has strict time and memory constraints as it operates in real time.
What will your job look like:
- Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
- Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
- Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
- Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
- Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency
All you need is:
- B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance
- Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals
- Practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must
- Strong analytical skills, a sense of ownership, and the ability to work collaboratively
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!










