Ramat Gan
Full time
About us:
Mobileye is a global leader in Physical AI, developing computer vision, software, and hardware to power autonomous driving solutions and humanoid robots. Our mission is to bring autonomy into the real world by building intelligent technologies that are designed to expand accessibility and enhance everyday life, from advanced driver assistance systems (ADAS) and autonomous driving to robotics and humanoids.
Built on decades of automotive innovation and industrial-scale AI expertise, Mobileye technologies power more than 230 million vehicles worldwide. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for the real world.
About the team:
Mobileye is a global leader in autonomous vehicle (AV) technology. If you’re an experienced deep learning developer driven by a passion to shape the future of mobility, join us to make AV a reality. The 3D Perception team builds transformer-based vision models trained on large-scale driving video for the next generation of autonomous vehicles. Our end-to-end temporal network fuses multi-view cameras into a unified 3D sensing state that powers planning.
What will your job look like?
- Develop, implement and optimize state-of-the-art transformer-based temporal vision models.
- Extend network capabilities, analyze results and errors, and deliver measurable improvements to the driving scene understanding.
- Work shoulder-to-shoulder in a large, collaborative group.
- Research and integrate the latest advancements in 3d detection and perception.
- Improve algorithmic performance through rigorous experimentation and innovation.
- Work with large-scale datasets.
- Research new advances in the field from the literature and industry.
- Code primarily in Python.
All you need is:
- M.Sc. in Computer Science or a related field.
- 3+ years of experience developing, implementing, training and analyzing deep learning algorithms in Python.
- Top-tier mathematical, analytical, and coding skills.
- Strong self-learner and research capabilities with a proven track record from industry or academia.
Nice to have:
- PhD in Computer Science or a related discipline.
- Experience in computer vision, multi-view geometry and 3D reconstruction.
