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Location
Hybrid (Ramat Gan, Israel)
Seniority
Senior · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Jul 21, 2026.

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.

Mobileye’s Hawkeye team is developing advanced close-range 3D perception for autonomous vehicles, enabling safe automated parking and low-speed maneuvers in tight environments. We build multi-camera deep learning systems for precise and reliable understanding of the vehicle’s surroundings.

What will your job look like:

  • Research and develop cutting-edge end-to-end 3D perception models combining geometry and semantics.
  • Work on 3D Semantic Occupancy, Geometry Reasoning, 3D Reconstruction, 3D Object Detection, and related tasks.
  • Innovate in multi-view fusion, motion handling, and spatial representation learning.
  • Deliver models that run on real vehicles and integrate into production systems.

All you need is:

  • 4+ years of hands-on experience in Machine Learning and Deep Learning.
  • M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar).
  • B.Sc. from a leading university.
  • Strong Python development skills.
  • Highly motivated, hard-working, proactive, and driven to solve challenging problems.
  • Ability to operate in a fast-paced research & development environment.

Nice to have:

  • PhD or relevant academic publications.
  • Experience with Linux, Git, Docker, C++.
  • Knowledge in 3D perception, computer vision, or robotics.
  • Industry experience working on CV and Deep Learning.
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