Develops advanced 3D perception models for autonomous vehicles using deep learning and multi-camera systems to enable safe parking and low-speed maneuvers.
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.
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!