Jerusalem
Full time
About us:
Mobileye is a global leader in Physical AI, developing computer vision, software, and hardware to power autonomous driving solutions and humanoid robots. Our mission is to bring autonomy into the real world by building intelligent technologies that are designed to expand accessibility and enhance everyday life, from advanced driver assistance systems (ADAS) and autonomous driving to robotics and humanoids.
Built on decades of automotive innovation and industrial-scale AI expertise, Mobileye technologies power more than 230 million vehicles worldwide. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for the real world.
About the team:
Join Mobileye’s Autonomous Vehicle (AV) validation division, where algorithmic theory meets real-world performance. You will analyze and stress-test core algorithms powering autonomous driving, evaluating cutting-edge computer vision, machine learning, and multi-sensor systems to ensure safety and system reliability.
What will your job be like?
- Lead the end-to-end performance analysis of complex algorithmic versions and production release candidates.
- Design and execute statistical analysis workflows on high-volume sensor and drive data to spot regressions, edge cases, and systemic biases.
- Leverage modern AI tooling (Cursor, Claude Code, LLM-assisted workflows) to accelerate analytical pipelines, automate reporting, and write validation scripts.
- Work cross-functionally with Algorithm Engineers, System Architects, and Product Leads to make critical go/no-go production deployment decisions.
- Synthesize multi-dimensional data findings into clear, actionable executive and technical reports
All you need is:
- B.Sc. in Data Science, Industrial Engineering (Information Systems focus), or an exact quantitative discipline.
- 2-4 years of proven hands-on experience in data analysis, algorithm validation, or system performance evaluation in a tech-driven product environment.
- Strong practical knowledge of Python and SQL for data manipulation and statistical evaluation.
- Hands-on experience integrating AI dev tools/agents into daily work to streamline analysis.
- Demonstrated ability to independently investigate anomalies, spot statistical artifacts, and draw concrete conclusions from noisy big data.
- Professional fluency in English and Hebrew (written and verbal) to convey complex algorithmic trade-offs.
Nice to have:
- Prior experience in the automotive, robotics, or computer vision domains.
- Familiarity with autonomous driving benchmarks, simulation frameworks, or ML
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!
