智驾仿真评测专家 - 火山引擎
Core
Designing and executing simulation evaluation strategies for autonomous driving systems, including open-loop, closed-loop, and real-vehicle testing, to ensure safety and performance before deployment.
Role type
Senior IC autonomous driving simulation evaluation expert
Builds
Distributed simulation platforms, scenario libraries, and automated regression testing frameworks for autonomous driving systems
Domain
Autonomous driving / Simulation engineering
Deliverable
production ML models
Required skills
Autonomous driving simulation engine expertise, evaluation metric design, Python engineering, end-to-end/VLA model understanding, scenario generation, root cause analysis
Preferred skills
Generative world models, CI/CD integration, adversarial scenario creation
Technologies
CARLA, LGSVL, NVIDIA DRIVE Sim, 51Sim, Python
Responsibilities
Define evaluation strategies and gating criteria for simulation and real-world testing; Design simulation platform architecture including task scheduling and result storage; Build and manage scenario libraries covering real data, parametric, and adversarial cases; Develop automated regression frameworks and analyze results to drive data conversion loops; Implement generative world models in the evaluation pipeline
