Localization Engineer for Autonomous Driving
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Job description
About the Position
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Location: Jerusalem, Israel
Employment Type: Full time
About Us
Mobileye is a global leader in Physical AI, developing computer vision, software, and hardware to power autonomous driving solutions and humanoid robots. Our mission is to bring autonomy into the real world by building intelligent technologies that are designed to expand accessibility and enhance everyday life, from advanced driver assistance systems (ADAS) and autonomous driving to robotics and humanoids.
Built on decades of automotive innovation and industrial-scale AI expertise, Mobileye technologies power more than 230 million vehicles worldwide. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for the real world.
About the Team
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
Responsibilities
- Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
- Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
- Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
- Combine learning-based methods with classical optimization and geometric algorithms.
- Own the entire lifecycle from prototyping to deployment.
- Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
- Drive innovative solutions for high-precision localization at production scale.
Requirements
- 2+ years of practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must.
- 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.
- Strong analytical skills, a sense of ownership, and the ability to work collaboratively.
We Offer
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!
About the Company
Mobileye is committed to pioneering the future of autonomous driving while staying grounded in today's realities. We are:
- Save lives: The value of life above all other considerations.
- Evolution as revolution: Creating the autonomous future, leap by leap.
- Now. Next. Future: Pioneering the future without losing sight of today and tomorrow.
- Geek Proud: Our technology & problem-solving tackles the toughest challenges facing the industry.
- Live the Dream. Stay Humble: We are coding a new reality. We are also understated, and work as a team.
- Outside the Bounding Box: Solutions often seem unlikely or impossible. Until they aren’t.
- Never Too Small: Each person’s individual contribution can make an outsized impact.
Apply now and join us in saving lives and revolutionizing the future of mobility!
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