Staff Technical Program Manager

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 Staff Technical Program Manager focused on the Autonomous Driving Training Data Lake, you will lead cross-functional programs that enable large-scale data collection, processing, governance, and delivery for autonomous-driving model development. You will work closely with data infrastructure, machine learning, simulation, vehicle engineering, annotation, and algorithm teams to ensure that high-quality training data is available reliably, efficiently, and at scale.

You will work with best-in-class machine learning, software, data, and infrastructure engineers to build the foundation for XPENG’s autonomous-driving development lifecycle. Your work will directly improve the quality, velocity, reliability, and cost efficiency of the data used to train and validate mass-market autonomous-driving systems.

Job Responsibilities:

• Define and manage the roadmap for the autonomous-driving training data lake, covering data collection, ingestion, processing, storage, curation, and delivery.

• Coordinate execution across data infrastructure, machine learning, annotation, simulation, and autonomous-driving algorithm teams.

• Establish and track KPIs for data quality, pipeline reliability, processing latency, dataset readiness, storage efficiency, and infrastructure cost.

• Drive programs for dataset generation, versioning, metadata management, lineage, and reproducibility.

• Identify technical risks and bottlenecks in data pipelines, infrastructure capacity, and training-data delivery, and lead cross-functional resolution.

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