# Senior AI Data Infrastructure/Pipeline Engineer

Hiring organization: [XPeng](https://career.thegoodapps.co/organizations/xpeng)

Canonical page: https://career.thegoodapps.co/jobs/8df739bb-7584-4837-a48a-dcf6f32cba16

Listed on XPeng's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: Santa Clara, CA
- Salary: 145600 – 246400 USD per year

## Summary

XPENG seeks a senior engineer to design and operate petabyte-scale data pipelines that feed autonomous driving model training, handling everything from vehicle sensor ingestion through cloud processing to dataset delivery. This role suits someone experienced in distributed systems and large-scale ETL who wants to work on core infrastructure for self-driving cars.

_Our summary, not XPeng's wording._

## Skills named

Apache Iceberg, Apache Kafka, Docker, Go, Java, Kubernetes, MongoDB, MySQL, PostgreSQL, Python, RabbitMQ, Redis

## Required

- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field
- 3-5+ years of experience in large-scale data processing or data platform development
- Proficiency in Python, Go, or Java
- Hands-on project experience in at least two of: large-scale data pipelines/ETL systems, distributed message queues, distributed data lake systems, columnar storage formats, relational or NoSQL databases, performance optimization for distributed systems, or Kubernetes/Docker
- Strong cross-team communication and collaboration skills

## Nice to have

- Familiarity with closed-loop data in embodied AI industry
- Understanding of autonomous driving industry and data flywheel concepts
- Experience with AI infrastructure or model training workflows
- Experience with data lake/data warehouse systems and data versioning/lineage tracing
- Open-source contributions on GitHub or a technical blog

Apply on XPeng's site: https://job-boards.greenhouse.io/xpengmotors/jobs/8579038002