About this role
What will your job look like?
- Own the full lifecycle of AV data, including data status assessment, maintenance and version iteration. You will manage PB-scale driving data assets that power Mobileye's autonomous driving system.
- Oversee end-to-end annotation workflow, covering requirement definition, guideline formulation and quality assurance. Collaborate with algorithm teams to define dataset specifications, with your work directly shaping dataset quality and accelerating model iteration.
- Analyze autonomous driving scenarios from a data perspective, investigate system failure cases and push issues to resolution.
- Propose and initiate new driving data collection campaigns to enrich datasets with rare corner cases, strengthening the core data assets for our global ADAS product portfolio.
- Develop and maintain automation scripts and data processing pipelines. Reduce manual repetitive work and scale up data throughput for mass-production validation.
- Collaborate with global cross-functional teams to align and unify data standards.
What you'll bring
Must-have
- Bachelor's or Master's degree in EE, CS, automotive engineering, geoinformatics, or a related field.
- 1–3 years of relevant experience in software development, testing, or validation engineering, preferably in automotive, ADAS, or adjacent domains.
- Script development experience (e.g., Python) for testing and tooling.
- Strong analytical and problem-solving skills, with attention to detail.
- Good teamwork and communication skills.
- Good English proficiency for written and spoken communication with global teams.
Nice-to-have
- Experience in data management, AV validation, or quality analysis.
- Familiarity with driving data, sensor data, or annotation workflows.