Data Infrastructure Engineer

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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.

The Data Infrastructure Engineer identifies and resolves corner cases in autonomous driving by analyzing large datasets, leveraging in‑house tool chains, and collaborating closely with Machine Learning Engineers and Annotation Teams to apply data‑centric AI principles.

• Identify edge cases in autonomous driving functionality that may affect safety or comfort by analyzing massive datasets collected from the field.
• Resolve edge cases with creative methods by leveraging in‑house tool chains and working closely with Machine Learning Engineers & Annotation Team.
• Monitor key efficiency metrics in the edge‑case resolving process, analyze root causes of changes, and provide constructive ways to improve the process.

• BS in Analytics, Computer Science, Mathematics or related fields (or relevant experience).
• 1+ 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.

• A fun, supportive and engaging environment.
• Opportunity to make a significant impact on the transportation revolution by advancing autonomous driving.
• Opportunity to work on cutting‑edge technologies with top talent in the field.
• Competitive compensation package.
• Snacks, lunches and fun activities.

The base salary range for this full‑time position is $124,091–$210,000, in addition to bonus, equity and benefits.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status, or marital status or any other prescribed category set forth in federal or state regulations.

Entry level

Full‑time

Motor Vehicle Manufacturing