Senior AI Algorithm Engineer – Vision Localization

Mobileye

. Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.

Posted 10/22/2026full-timeRamat Gan • IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in developing localization algorithms for autonomous driving, utilizing deep learning models and computer vision techniques. Proficient in Python programming and frameworks like PyTorch and TensorFlow, with a strong foundation in algorithms and data structures.

Highest-signal resume keywords

Computer Vision Solutions DevelopmentDeep Learning Model ImplementationPython ProgrammingPyTorch FrameworkTensorFlow Framework

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Localization AlgorithmsDeep Learning3D GeometryScene UnderstandingObject MatchingSpatial ReasoningAlgorithmsData StructuresGeometric AlgorithmsOptimization Techniques

Soft Skills

Analytical SkillsSense of OwnershipCollaborative Work

Certifications & Qualifications

B.Sc. in Computer ScienceM.Sc. in Computer ScienceB.Sc. in Electrical EngineeringM.Sc. in Electrical Engineering

Industry Keywords

Autonomous DrivingMulti-Camera Surround Vision SystemsRobustness Under Diverse ConditionsHigh-Precision LocalizationProduction Scale Solutions

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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.