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Mobileye
Open role>14 days

Algorithm Performance & Data Analyst

MobileyeJerusalem, Israel
Work model
Hybrid
Experience
2-4 years
Employment
Full Time
Compensation
Not disclosed
Technology signal
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Role description

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