Staff Technical Program Manager
$125.58k - $212.52kFull-time
XPENG
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.
- Improve engineering planning, agile development practices, dependency management, and operational processes across data platform teams.
- Bachelors or Masters in computer science or other related engineering field.
- 5 years + of technical program management experience in engineering or related fields.
- Experience leading complex cross-functional data, infrastructure, software, or machine learning programs.
- Strong understanding of large-scale data systems, cloud infrastructure, and data pipelines.
- Mandarin speaking is required.
- Excellent problem-solving skills.
- Strong understanding of large-scale data systems, cloud infrastructure, and data pipelines.
- Experience in establishing strong software development processes.
- Experience with autonomous-driving data platforms, machine learning infrastructure, or large-scale training-data systems.
- Experience managing large-scale data lakes, distributed data pipelines, or cloud infrastructure programs.
- Familiarity with data technologies such as object storage, Spark, Ray, Kafka, Iceberg, Parquet, Kubernetes, or similar systems.
- Understanding of machine learning data workflows, including data curation, annotation, training, evaluation, and closed-loop improvement.
- Experience managing complex cross-functional programs across multiple teams, locations, or time zones.
- A fun, supportive and engaging environment.
- Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
- Opportunity to work on cutting edge technologies with the top talent in the field.
- Competitive compensation package.
- Snacks, lunches, dinners and fun activities.
Vacancy posted 10 days ago
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