- Identify edge cases in autonomous driving functionality that may affect safety or comfort by analyzing massive dataset collected from the field.
- Resolve edge cases with creative methods by leveraging in-house toolchains and working closely with Machine Learning Engineers & Annotation Team.
- Monitor key efficiency metrics in edge case resolving process, analyze root causes of changes and provide constructive ways to improve the process
- Build and maintain scalable data lake and data warehouse infrastructure, including data ingestion, storage, processing, and analytics pipelines.
- Manage data quality, schemas, metadata, access controls, and system performance to ensure reliable and efficient use of large-scale autonomous driving data.
- BS in Computer Science, or related fields (or relevant experience).
- 3 + years industrial experience in the related field.
- Proficient in both written and spoken English and Mandarin.
- Passionate about autonomous driving technology.
- Familiar with SQL and some prior experience with Python.
- Experience with data lakes, data warehouses, ETL/ELT pipelines, distributed data processing, or cloud-based storage systems.
- Familiarity with data modeling, schema design, data quality management, and workflow orchestration.
- Strong communication skills.
- Result-driven & can-do attitude.
- A fun, supportive and engaging environment.
- Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.
- Opportunity to work on cutting edge technologies with the top talent in the field.
- Competitive compensation package.
- Snacks, lunches and fun activities.