Fremont, California, United States
1. Build evaluation and simulation CI/CD
• running more than 50k simulated scenario cases
• evaluation with 100k user-defined metrics
• workflow optimization: C++ and operating system
2. Build vehicle data collection pipeline used by deep learning
• automatically data ingestion
• integrate with human-labeled and auto-labeled data
3. Design and implement self-driving debugger and visualization tool
• implement scenario simulation engine step-by-step
• use C++ and OpenGL to render customized debugging information
4. Design several DevTools
• full-stack metrics web-app to display 10m datapoints
• CI/CD workflows maintenance
• HD-map to training adapter tool
