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Full-time
bachelor degree, postgraduate degree
Posted 29d ago
~40 hrs/week
Responsibilities
Develop state-of-the-art localization algorithms and deep learning models for autonomous driving using multi-camera surround vision systems. The role involves integrating 3D geometry and classical optimization to ensure high-precision vehicle localization on HD maps.
Requirements
Requires a B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field with 5+ years of experience in computer vision or machine learning. Candidates must be proficient in Python and frameworks like PyTorch or TensorFlow with a strong foundation in algorithms and deep learning.
Full job description
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.
\nWhat will your job look like:
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
All you need is:
5+ 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
\n
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!
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis.
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver-assistance systems, and delivers valuable intelligence to optimize mobility infrastructure. Mobileye pioneered such groundbreaking technologies as True Redundancy™ sensing, REM™ crowdsourced mapping, and Responsibility Sensitive Safety (RSS) technologies that are driving the ADAS and AV fields towards the future of mobility.
Offices: 1 Shlomo HaLevi, West Jerusalem, Jerusalem District, IL · 25301 Dequindre Rd, Madison Heights, Michigan 48071, US · La Piazzola 6F, 2-9-3 Higashi-Shinbashi, Minato-ku, Tokyo, 105-0021, JP · Lütticher Straße, 132, Düsseldorf, North Rhine-Westphalia 40547, DE
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis.
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver-assistance systems, and delivers valuable intelligence to optimize mobility infrastructure. Mobileye pioneered such groundbreaking technologies as True Redundancy™ sensing, REM™ crowdsourced mapping, and Responsibility Sensitive Safety (RSS) technologies that are driving the ADAS and AV fields towards the future of mobility.
Offices: 1 Shlomo HaLevi, West Jerusalem, Jerusalem District, IL · 25301 Dequindre Rd, Madison Heights, Michigan 48071, US · La Piazzola 6F, 2-9-3 Higashi-Shinbashi, Minato-ku, Tokyo, 105-0021, JP · Lütticher Straße, 132, Düsseldorf, North Rhine-Westphalia 40547, DE