Senior Software Engineer - AI Platform (Python & React)

Team: Software

Location: Ramat Gan, Israel

Commitment: Full time

Workplace Type: hybrid

Mobileye is looking for a talented Software Engineer to join a team building an internal, AI-powered platform designed to significantly improve product quality by identifying edge cases and long-tail scenarios in autonomous driving systems.

Using state-of-the-art Vision and Language models, the team is rethinking how training, validation, and stress-testing are done.

This is a highly impactful engineering role focused on building innovative internal products end-to-end- tools developed from scratch that are designed to become part of the company’s daily workflows and directly influence core algorithmic and product decisions. 

If you’re passionate about deep learning-driven products, large-scale experimentation, and owning complex systems from design to production- this is the place for you.

What will your job look like:

• Take part in building an AI search platform from scratch, and owning it end to end in a production environment.
• Design and implement full-stack solutions, including backend services, frontend interfaces, and database management.
• Work with cloud-based systems, containers, and modern software infrastructure to support performance, scale, and reliability.
• Collaborate closely with algorithm developers and internal users to expose complex capabilities in a simple, usable way.

All you need is:

• B.Sc. degree in Computer Science, Software Engineering, Information Systems, or a related field.
• 5+ years of hands-on experience in full-stack software development, including building scalable, end-to-end production systems (backend services, APIs, database design, and frontend interactions).
• Strong frontend development experience using React.
• Strong hands-on experience with Python.
• Hands-on experience working in Linux or macOS environments, including containerized development using Docker.

Nice to have:

Experience working with cloud platforms such as AWS.
Experience with LLM-based systems, prompt engineering, and AI frameworks such as Hugging Face.