Data Infrastructure Engineer

• 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.

• 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.

The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.