Mobileye is a pioneering force in the autonomous vehicles (AV) industry.
Join us to build the brain behind the car — a large-scale, multi-task neural network that powers the core of Mobileye’s autonomous stack.
You’ll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions.
From novel architectures and advanced training techniques to performance tuning under tight constraints, you’ll work closely with software and hardware teams to turn research into high-impact, production-ready systems.
If you’re a brilliant, hands-on researcher with a passion for shaping the future — this is your launchpad.


Why us?

Our team is at the forefront of Mobileye’s most advanced AI efforts.

As a central hub for deep learning innovation, we’re trusted with designing the core neural network architecture that powers the company’s flagship products.

If you’re seeking a high-impact role among top-tier researchers and developers — this is the place to be.

All you need is:

PhD in Computer Science or a related discipline (exceptional MSc candidates will be considered).

4+ years of hands-on experience developing deep learning algorithms in Python.

Experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment.

Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch).

Excellent problem-solving skills and a research-oriented mindset.

Advantages:

Industry experience in DL or software development.

Familiarity with hardware-aware model optimization.

Experience with cloud platforms (e.g., AWS), Docker, and Linux environments.

Publications or contributions in the fields of deep learning, neural architecture search, knowledge distillation or multi-task learning.