Senior AI Data Infrastructure/Pipeline Engineer

with Kubernetes / Docker containerization deployment.

• Strong cross-team communication and collaboration skills, high sense of responsibility, and proactive problem-solving attitude.
• Familiarity with closed-loop data in the embodied AI industry will be a huge plus.
• Some understanding of the autonomous driving industry, awareness of data closed loop and data flywheel concepts, and enthusiasm for this field.
• Experience with AI infrastructure or model training workflows (e.g., data loading, feature engineering, data preparation for model evaluation).
• Familiarity with data lake / data warehouse systems, with practical experience implementing data version control and data lineage tracing.
• Open-source contributions on GitHub or a technical blog, with continuous attention to the latest technological trends in big data / AI infrastructure.
• 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.