XPENG is seeking a Senior Data Infrastructure Engineer to identify edge cases in autonomous driving functionality by analyzing massive datasets collected from the field and to resolve them using in-house toolchains. Working closely with Machine Learning Engineers and the Annotation Team, you will apply data-centric AI principles to address real-world safety and comfort issues. You will build and maintain scalable data lake and data warehouse infrastructure, including data ingestion, storage, processing, and analytics pipelines, while managing data quality, schemas, metadata, access controls, and system performance for large-scale autonomous driving data. Responsibilities include identifying edge cases that may affect safety or comfort, resolving them through creative methods, monitoring key efficiency metrics, analyzing root causes, and driving process improvements. Requirements include a BS in Computer Science or related field (or equivalent experience), 3+ years of industrial experience, fluency in English and Mandarin, a passion for autonomous driving, strong SQL and Python skills, 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, and excellent communication and a results-driven attitude. We offer a collaborative environment and the opportunity to work on cutting-edge technologies with top talent in the field, along with competitive compensation and benefits. Salary range is $174,720 - $295,680, plu

XPENG is seeking a Senior Data Infrastructure Engineer to identify edge cases in autonomous driving functionality by analyzing massive datasets collected from the field and to resolve them using in-house toolchains. Working closely with Machine Learning Engineers and the Annotation Team, you will apply data-centric AI principles to address real-world safety and comfort issues. You will build and maintain scalable data lake and data warehouse infrastructure, including data ingestion, storage, processing, and analytics pipelines, while managing data quality, schemas, metadata, access controls, and system performance for large-scale autonomous driving data. Responsibilities include identifying edge cases that may affect safety or comfort, resolving them through creative methods, monitoring key efficiency metrics, analyzing root causes, and driving process improvements. Requirements include a BS in Computer Science or related field (or equivalent experience), 3+ years of industrial experience, fluency in English and Mandarin, a passion for autonomous driving, strong SQL and Python skills, 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, and excellent communication and a results-driven attitude. We offer a collaborative environment and the opportunity to work on cutting-edge technologies with top talent in the field, along with competitive compensation and benefits. Salary range is $174,720 - $295,680, plu