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
Skills Required
- 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 multiple stages of the model lifecycle, including research, model development, data pipelines, evaluation, tooling, integration, or deployment
- Solid foundation in machine learning, algorithms, and data structures
- Experience in autonomous driving, robotics, motion planning, prediction, simulation, or control
- Familiarity with computer vision, generative modeling, reinforcement learning, or multimodal learning
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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