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.
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.
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!
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.
