ADAS Algorithm Enginner – Plan & Control Evaluation 智驾归控评测算法工程师
Tasks
- Automate evaluation workflow with AI agents
- Build agent powered debug tools for system engineers
- Build scenario specific evaluator modules
- Conduct open loop and closed loop evaluation
- Create reusable data driven tooling
- Develop ADAS performance evaluation framework
- Develop task triggering and result visualization frontend systems
- Generate evaluation reports and release gate reports
- Implement rule based evaluator baseline
- Set up golden sample management and replay pipelines
- Support testing tools and bench support for validation teams
- Tune evaluator parameters using field data
Perks/Benefits
- Employee discounts
- Employee events
- Flexible working hours
- Health measures
- Hybrid work
- Mobility benefits
Skills/Tech-stack
ADAS | AI Agent | AI coding | AI coding assistant | Autonomous Driving | BEV perception | C++ | Coding Assistant | Data Analysis | Data Processing | End to End | End-to-end models | Frontend Development | Golden Sample Management | Machine Learning | Parameter Tuning | Planning | Python | ROS | Regression validation | Replay Pipeline | Rule-based | Rule-based Systems | Sample management | Scenario evaluation
Education
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