Algorithm SW Developer Student - Calibration Team
Mobileye is looking for an Algorithm Developer Student to join our Calibration Team, part of the Geometry Group within the Algorithms R&D department. We are looking for excellent CS students, with strong problem-solving abilities, who are proactive, energetic, hard working and with a can-do attitude to help us solve hard problems and deliver world class calibration solutions.
We develop cutting-edge computational geometry products for Mobileye systems, essential for understanding vehicle surroundings and advancing AV (Autonomous Vehicles) and ADAS (Advanced Driving Assistance Systems).
Our work combines computational geometry, mathematics, physics, software engineering, and modern AI-assisted development methodologies to deliver high-performance, real-time solutions. While our algorithms are primarily based on classical geometric and optical principles, we also leverage Machine Learning techniques to further enhance calibration accuracy.
We are passionate about building clean, reliable, and maintainable software, creating internal development tools, and continuously improving engineering productivity.
What will your job look like:
- Implement, deploy, and maintain algorithms in computational geometry and calibration domains.
- Develop, maintain, and improve software infrastructure and internal tools supporting algorithm development and validation.
- Develop high-quality code primarily in C++ and Python.
- Design and maintain real-time oriented code that meets stringent memory and runtime requirements.
- Utilize modern AI-assisted development tools and frameworks (such as Cursor, Claude, GitHub Copilot, and similar technologies) to improve development efficiency and code quality.
- Collaborate effectively with other teams at Mobileye.
All you need is:
- Studies towards a B.Sc./M.Sc. in Computer Science, preferably combined with a minor in Mathematics, Physics, Statistics, Biology, or a related scientific discipline.
- Availability for at least a 3 days a week.
- 2-3 semesters left until graduation.
- Hands-on programming experience in C++ and Python.
- Basic understanding of Machine Learning and Deep Learning concepts.
Nice to Have
- Familiarity with Git and GitLab, backed by practical experience.
- Coursework, projects, or practical experience in Machine Learning and Deep Learning.
- Experience with AI-assisted development environments and coding assistants (e.g., Cursor, Claude, GitHub Copilot, or similar platforms).
