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Original job description
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Mobileye is the global leader in the development of computer vision and machine learning, data analysis, localization and mapping for Advanced Driver Assistance Systems and autonomous driving. Mobileye’s technology helps keep passengers safer on the roads, reduces the risks of traffic accidents, saves lives and has the potential to revolutionize the driving experience by enabling autonomous driving. Mobileye’s proprietary software algorithms and EyeQ® chips perform detailed interpretations of the visual field in order to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Mobileye’s products are also able to detect roadway markings such as lanes, road boundaries, barriers and similar items; identify and read traffic signs, directional signs and traffic lights; create a Mobileye Roadbook™ of localized drivable paths and visual landmarks using REM™; and provide mapping for autonomous driving.
The Position:
Mobileye China R&D Center is seeking a highly motivated AI Algorithm Engineer specialized in crowdsource mapping algorithm development to join our team. You will design and optimize algorithms that enable precise, scalable, and automated generation of high-definition maps for autonomous vehicles. Your work will focus on transforming raw sensor inputs into structured, machine-readable map representations. This role is critical to enabling real-time localization, path planning, and scene understanding in autonomous systems.
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What will your job look like:
Develop and refine algorithms for detecting and modeling map features (e.g., geometry, semantic, etc.) from multi-modal sensor data.
Implement spatial reasoning and topological mapping techniques to structure HD map layers.
Create scalable pipelines for map data creation, optimization, and map updates using AI/ML models and traditional geometric approaches.
Work on large-scale datasets from autonomous driving fleets to build, validate, and improve algorithms.
Write clean, maintainable, testable code and conduct code reviews. Inspire others to be their best in daily job.
All you need is:
Ph.D. or M.S. in Computer Science, Electronic Engineering, or related fields.
Outstanding coding skills and proficient in algorithms with Python, C/C++, etc.
Strong product background and hands on experiences in building product-quality computer vision, deep learning and general AI technologies. Intensive experience with at least one DL framework such as PyTorch and TensorFlow.
3+ years of experience in algorithm development for mapping, robotics, or computer vision applications.
Highly motivated self-starter/self-learner in full stack of technologies.
Strong oral/written communication in Mandarin and English.
Nice to have:
Experience with HD map structures, geospatial data processing, online/offline mapping/planning algorithms will be a plus (e.g., SLAM, MAPTR, VAD etc).
Interested in and thoughtful about the diverse AI technology (CNNs, GNNs, transformer and different domains of detection, segmentation, LLM, AGI, etc.).
Original formatting and links
Mobileye is the global leader in the development of computer vision and machine learning, data analysis, localization and mapping for Advanced Driver Assistance Systems and autonomous driving. Mobileye’s technology helps keep passengers safer on the roads, reduces the risks of traffic accidents, saves lives and has the potential to revolutionize the driving experience by enabling autonomous driving. Mobileye’s proprietary software algorithms and EyeQ® chips perform detailed interpretations of the visual field in order to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Mobileye’s products are also able to detect roadway markings such as lanes, road boundaries, barriers and similar items; identify and read traffic signs, directional signs and traffic lights; create a Mobileye Roadbook™ of localized drivable paths and visual landmarks using REM™; and provide mapping for autonomous driving.
The Position:
Mobileye China R&D Center is seeking a highly motivated AI Algorithm Engineer specialized in crowdsource mapping algorithm development to join our team. You will design and optimize algorithms that enable precise, scalable, and automated generation of high-definition maps for autonomous vehicles. Your work will focus on transforming raw sensor inputs into structured, machine-readable map representations. This role is critical to enabling real-time localization, path planning, and scene understanding in autonomous systems.
What will your job look like:
Develop and refine algorithms for detecting and modeling map features (e.g., geometry, semantic, etc.) from multi-modal sensor data.
Implement spatial reasoning and topological mapping techniques to structure HD map layers.
Create scalable pipelines for map data creation, optimization, and map updates using AI/ML models and traditional geometric approaches.
Work on large-scale datasets from autonomous driving fleets to build, validate, and improve algorithms.
Write clean, maintainable, testable code and conduct code reviews. Inspire others to be their best in daily job.
All you need is:
Ph.D. or M.S. in Computer Science, Electronic Engineering, or related fields.
Outstanding coding skills and proficient in algorithms with Python, C/C++, etc.
Strong product background and hands on experiences in building product-quality computer vision, deep learning and general AI technologies. Intensive experience with at least one DL framework such as PyTorch and TensorFlow.
3+ years of experience in algorithm development for mapping, robotics, or computer vision applications.
Highly motivated self-starter/self-learner in full stack of technologies.
Strong oral/written communication in Mandarin and English.
Nice to have:
Experience with HD map structures, geospatial data processing, online/offline mapping/planning algorithms will be a plus (e.g., SLAM, MAPTR, VAD etc).
Interested in and thoughtful about the diverse AI technology (CNNs, GNNs, transformer and different domains of detection, segmentation, LLM, AGI, etc.).
