Robotaxi VLA 大模型算法实习生
Tasks
- Analyze complex urban driving scenarios
- Assist VLA autonomous driving model development and optimization
- Assist functional safety scheme implementation
- Build hierarchical instruction cloud platform
- Conduct model fine-tuning
- Create problem analysis reports
- Create technical documentation
- Design safety redundancy architecture
- Develop data processing tools
- Develop model testing tools
- Execute safety validation tests
- Organize delivery documentation
- Organize road test logs and experimental data
- Perform platform functionality testing
- Perform training data cleaning
- Reproduce and analyze model behavior issues
- Run comparison experiments
- Run version smoke testing
- Support model integration and version delivery
- Track issues
- Validate labeling quality
- Write test cases
Perks/Benefits
- N/A
Skills/Tech-stack
Autonomous Driving | C++ | Case Development | Data cleaning | Data labeling | Deep learning | Experimentation | Fine Tuning | Functional Safety | Game theory | Model Fine-tuning | Model Integration | Motion Planning | PyTorch | Python | Software testing | Test Case | Test case development | Trajectory Prediction | Version control
Education
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