Required Algorithm Performance & Data Analyst (Full-Time)
About the team:
Join our 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.
Requirements: 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.
This position is open to all candidates.