一段式端到端仿真测试专家_XC
Core
Design and execute end-to-end autonomous driving evaluation systems, defining standards, managing scenario coverage, and analyzing large-scale simulation data to validate model performance and safety.
Role type
Senior IC autonomous driving simulation evaluation expert (end-to-end)
Builds
Evaluation methodologies, scenario libraries, simulation test plans, and quality assurance reports for end-to-end autonomous driving systems.
Domain
Autonomous driving / Simulation / Machine Learning
Deliverable
production ML models
Required skills
End-to-end autonomous driving evaluation, large-scale simulation execution, scenario strategy and coverage management, data analysis and visualization, Python programming, deep learning fundamentals, autonomous driving system architecture (perception, prediction, planning/control), SIL/HIL/logsim testing experience.
Preferred skills
Data mining, machine learning background, adversarial testing, automated evaluation using large models.
Technologies
Python, SIL, HIL, logsim, large models.
Responsibilities
Design end-to-end evaluation methodologies and quality assessment systems; define scenario priorities and coverage requirements based on real-world data; execute large-scale simulation testing and analyze results to identify algorithm defects; collaborate with algorithm and simulation teams to align testing capabilities with model requirements; develop innovative evaluation methods for end-to-end large models.
Seniority
Senior, hands-on IC
