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:
Build the intelligence behind the next driving decision. We’re developing learning-based driving policies for complex, real-world scenarios. We’re looking for an engineer who can turn model ideas into reliable algorithms that run as part of Mobileye’s driving systems. You’ll work across model development, training, evaluation, and integration. You’ll analyze model behavior, improve the data and training process, and work with other teams to validate performance in simulation and on real vehicles. This is a high-impact role with direct influence on a core part of Mobileye’s driving technology and its future products.
What will your job look like?
- Develop and improve deep learning models for planning, decision making, and
driving behavior. - Work across the full development cycle, from research papers and
prototyping models to building data and evaluation tools, debugging
infrastructure, and supporting deployment. - Design training and evaluation workflows, including metrics for safety,
progress, comfort, interaction quality, and robustness. - Analyze model behavior and failure modes, run experiments, and use the results
to improve models and data. - Collaborate with control, simulation, data, and other algorithm
teams to integrate and validate new capabilities.
All you need is:
- B.Sc. or higher degree in Computer Science, Electrical Engineering, or a
related field. - 3+ years of hands-on industry experience developing and training deep
learning models. - Experience across several stages of the model lifecycle, such as
research, model development, data pipelines, evaluation, tooling,
integration, and deployment. - A solid foundation in machine learning, algorithms, and data structures.
- Experience in autonomous driving, robotics, motion planning, prediction,
simulation, or control- an advantage - Familiarity with relevant deep learning fields such as computer vision,
generative modeling, reinforcement learning, or multimodal learning- an advantage
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!
