Job Description

Mobileye’s Hawkeye team is developing advanced close-range 3D perception for autonomous vehicles, enabling safe automated parking and low-speed maneuvers in tight environments. We build multi-camera deep learning systems for precise and reliable understanding of the vehicle’s surroundings.
In this role, you will build the software and infrastructure that bridges our algorithmic research with real-world production. You will be responsible for making sure our models run efficiently at scale and on the vehicle's hardware.

What will your job look like:

• Implement, optimize, and maintain post-processing code that runs directly on Mobileye's target chips (primarily in C++).
• Develop and maintain critical ML infrastructure to accelerate the research team's workflow.
• Build and manage robust data processing pipelines (ETLs) for large-scale autonomous driving datasets.
• Create performance analysis tools and optimize deep learning training processes.

All you need is:

• Currently pursuing a B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field from a leading university with high achievements.
• Availability to work at least 3 days per week.
• Strong hands-on programming skills in both C++ and Python.
• Solid foundation in software engineering principles, data structures, and algorithms.
• Highly motivated, proactive, and capable of taking ownership of software projects in a fast-paced R&D environment.



Advantages:

• Experience working in Linux environments and utilizing tools like Git and Docker.
• Familiarity with deep learning frameworks (e.g., PyTorch) and an understanding of how ML training pipelines operate under the hood.
• Prior experience with data engineering, ETL pipelines, or database management.
• Background in code optimization, embedded systems, or hardware-aware programming.

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!