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
Advantages:
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
