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Xpengmotorsvia Greenhouse
Senior Staff AI Data Infrastructure Engineer
Santa Clara, CA$203K - $344K/yrPosted 3mo ago
OtherStaff+Full-time
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About the Role
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.
As a core member of our AI Infrastructure team, you will work at the intersection of Autonomous Driving and Foundation Models. We don't just process EB-scale perception data from tens of thousands of production vehicles; we are building the high-performance Data Engine that powers our next-generation AI. Your work will directly determine how our self-driving systems "learn" from massive datasets and define the cognitive ceiling of multi-modal models in the physical world.
Key Responsibilities
- Scalable Data Pipelines: Architect and build scalable, end-to-end pipelines to automate the ingestion, cleaning, and processing of PB-scale raw data for both production autonomy and multi-modal LLMs.
- Modern Lakehouse Architecture: Evolve our data storage solutions based on Apache Iceberg and Lance to implement efficient semantic indexing, metadata management, and data versioning.
- Training Throughput Optimization: Deeply optimize data loading and pre-fetching strategies to ensure maximum throughput for large-scale training on 10,000+ GPU clusters.
- Infrastructure Evolution: Support the seamless transition of foundation model data into actionable training sets, bridging the gap between raw vehicle logs and model-ready tokens.
Basic Qualifications
- Engineering Excellence: BS/MS/PhD in Computer Science or a related field, with a proven track record of building large-scale distributed systems.
- Work Experience: 5-8 + years of industry experience.
- Programming Mastery: Proficient in Python, C++, or Java, with a deep understanding of high-performance concurrent programming and systems design.
- Distributed Frameworks: Hands-on experience with at least one distributed processing framework, such as Ray and Spark.&
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