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$203,450 – $344,300
Listed on XPeng’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role designs and maintains the integrated architecture for collecting, processing, and using vehicle data to train autonomous driving AI models at scale. It suits engineers with experience in large-scale data systems, AI infrastructure, and end-to-end machine learning pipelines who want to shape the technical foundation of a self-driving car company.
Our summary, not XPeng’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Master's degree in Computer Science, Artificial Intelligence, Automation, or Vehicle Engineering
- 3+ years of work experience in multi-modal physical AI or AI data platforms
- Deep understanding of multi-modal physical AI data closed-loop architecture and process
- Practical experience with on-vehicle data upload, cloud data processing, training and simulation integration
- Familiarity with data closed-loop toolchains including data processing, mining, annotation, and visualization
- Experience implementing data lineage and version management systems
- Understanding of model development lifecycle and the role of data in model performance
- Cross-team collaboration ability with algorithms, engineering, annotation, and testing teams
Nice to have
- Experience in large-scale AI training data governance, data standard systems, and data quality governance
- Experience building massive multi-modal data production and circulation systems
- Practical experience with data asset management and cost optimization
- Research or practical interest in AI Agent-centric data closed-loop architectures
- Ability to define and evaluate high-quality data
- Experience guiding data production and annotation work