As a core member of our AI Infrastructure team, you will be responsible for building the end-to-end data pipeline for autonomous driving, covering the entire chain from onboard data upload → cloud-based preprocessing → dataset production → model training / simulation input. In autonomous driving systems, the stability and efficiency of the pipeline directly determine the speed of algorithm iteration. We look forward to building a reliable, observable, and cost-effective data pipeline that supports the daily flow of petabyte-scale sensor data.

 

• Responsible for the design and construction of core data closed loop pipelines. Develop toolchains for data cleaning, annotation quality inspection, and data mining to support the algorithm team in quickly locating model error cases and driving iterative model optimization.
• Data Support for Production and R&D Processes. This includes log event tracking, connected vehicle data, internal and external data collection, data synchronization, data cleaning and standardization, data modeling, offline and real-time data processing, data as a service, and data visualization. Support business operations such as autonomous driving, smart cockpits, overseas data collection, and robotics data collection.
• Responsible for optimizing the performance of the entire data pipeline (collection, cleaning, conversion). Solve bottlenecks in large-scale data transmission, memory management, I/O, etc., and build a distributed data processing system with high throughput and low latency.
• Responsible for building a data management platform covering the entire process from data collection to data lake ingestion to model training. Implement capabilities for data version control, data lineage tracing, metadata management, and fast data retrieval to support unified data access and collaboration across multiple teams.
• Collaborate with the large model team and other technical teams to deeply understand business requirements, respond quickly, and ensure successful implementation.

 

• A fun, supportive and engaging environment.
• Infrastructures and computational resources to support your work.
• Opportunity to work on cutting edge technologies with the top talents in the field.
• Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
• Competitive compensation package.
• Snacks, lunches, dinners, and fun activities.