Senior Data Infrastructure Engineer

As a Data Infrastructure Engineer at XPENG, you will identify corner cases in autonomous driving functionality by analyzing massive datasets, resolve them using in-house toolchains, and collaborate with Machine Learning Engineers and Annotation Teams. You will also build and maintain scalable data lake and data warehouse infrastructure to support large-scale autonomous driving data.

Responsibilities

• 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.

Requirements

• 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.

Benefits

• 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.