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Location
Hybrid (Jerusalem, Israel)
Seniority
Senior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 30, 2025. Mobileye scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Mobileye is an Israeli company founded in Jerusalem in 1999 by the computer scientist Amnon Shashua and the entrepreneur Ziv Aviram, built on the then-contrarian idea that a single camera and clever software could handle driver assistance without radar or lidar. Its EyeQ system-on-chip has shipped in more than two hundred million vehicles, making it the dominant supplier of vision-based driver assistance to the global car industry. Acquired by Intel for fifteen billion dollars in 2017 and returned to public markets in 2022, the company now sells escalating tiers from basic assistance through the SuperVision and Chauffeur hands-off systems up to the fully driverless Mobileye Drive platform.

We are looking for an experienced Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving.

Our group tackles diverse challenges - from object detection and scene understanding to 3D perception - using large-scale, real-world in-house datasets and state-of-the-art deep learning models.

What will your job look like:

  • Develop and train neural networks for complex perception tasks in real-world driving environments.
  • Design and analyze deep learning pipelines, from data to deployment.
  • Collaborate with algorithm, software, and data experts to deliver production-ready models.
  • Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency.

All you need is:

  • M.Sc. in Computer Science, Electrical Engineering, or a related field.
  • At least 2 years of industry experience developing deep learning-based computer vision algorithms.
  • Strong Python programming skills and hands-on experience with PyTorch.
  • Solid understanding of deep learning and computer vision.
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