智驾端到端闭环强化学习科学家_CR
Bosch Group • Shanghai, Shanghai, China
30 天前
职位描述
- Company Description* Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. *Job Description* - 搭建并维护用于端到端和 VLA 自动驾驶模型的强化学习闭环训练流程. - 设计和实现支持 RL 闭环训练与评测的仿真环境. - 开发高效可扩展的工具链,包括数据管理,实验调度和性能监控. - 对强化学习算法进行优化,提升训练效率,可扩展性及实时部署能力. - 与研究团队协作,将新的 RL 方法集成到闭环系统中. - 记录开发流程与基准结果,提供部署相关的技术支持. - Build and maintain closed-loop reinforcement learning training pipelines for E2E and VLA autonomous driving models. - Design and implement simulation environments to support RL-based closed-loop training and evaluation. - Develop scalable toolchains for dataset management, experiment orchestration, and performance monitoring. - Optimize RL algorithms for efficiency, scalability, and real-time deployment. - Collaborate with research teams to integrate new RL methods into the closed-loop system. - Document development workflows, benchmark results, and provide technical support for deployment. *Qualifications* 1.计算机,机器学习,自动化,机器人等相关专业硕士或博士学历. 2. 具备强化学习,仿真环境,大规模训练流程等相关经验. 3. 熟悉自动驾驶仿真平台(如 CARLA,LGSVL,SUMO, GPUDrive, Waymax)或机器人仿真环境. 4. 具备扎实的软件工程能力,精通 Python / C++,有分布式训练与工具链开发经验. 5. 熟悉容器化技术(Docker,Kubernetes)及实验管理工具. 6. 具备良好的问题解决能力和团队协作精神,自驱动. 7. 具备良好的英文读写能力. 1. Master’s / Ph.D. degree in Computer Science, Software Engineering, or related fields. 2. Solid background in reinforcement learning, simulation environments, and large-scale training pipelines. 3. Hands-on experience with autonomous driving simulators (e.g., CARLA, LGSVL, SUMO, GPUDrive, WayMax) or robotics simulators. 4. Strong software engineering skills in Python / C++; experience in distributed training and toolchain development. 5. Familiarity with containerization (Docker, Kubernetes) and experiment management tools. 6. Good problem-solving skills, self-driven, and team-oriented. 7. English reading / writing proficiency.