端到端AI Planner_BCSC at Bosch Group

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Planning, C++, Python, PyTorch, TensorFlow, CNN, RNN, GRU, LSTM, Transformer, GNN, Diffusion, Imitative Learning, Reinforcement Learning, Communication Skills, Teamwork

Industry

Software Development

Description

Company Description Bosch China Innovation and Software Development Campus 博世创新与软件开发中心博世创新软件开发（无锡）有限公司针对交通出行的电动化、自动化、互联化、个性化，提供面向未来的创新技术和前沿解决方案，加速针对中国市场的技术战略的实现和发展。博世软件中心主要发展方向包括智能网联汽车、智能座舱、自动驾驶、车路云协同、工业4.0、人工智能大数据、智能家居、嵌入式软件服务。博世中国创新与软件开发中心以软件为客户赋能，在汽车自动驾驶、氢燃料电池、重卡电驱动桥、多合一的控制器等多个领域取得创新研发成果。 Job Description Responsible for the design and coding of AI Planning models. Responsible for creating training datasets, including mining real vehicle data and constructing simulation data. Responsible for the design and coding of preprocessing and postprocessing for AI Planning models. Responsible for the evaluation of AI Planning models, including open-loop and closed-loop evaluations in both simulations and real-world vehicle tests. Qualifications Master’s or PhD degree from a well-known domestic or international university in Computer Science, Artificial Intelligence, Software Engineering, Automation, Vehicle Engineering, Mechatronics, Electronic Engineering, or related fields, with more than 3 years of work experience. Strong programming skills, familiar with C++ and Python, and proficient in frameworks like PyTorch or TensorFlow; familiar with common data structures. Solid foundation in AI theory, with rich research or engineering experience in at least two of the following technical areas: CNN, RNN/GRU/LSTM, Transformer, GNN, Diffusion, Imitative Learning, Reinforcement Learning, etc. Passionate about the autonomous driving industry, with good communication skills and a strong sense of teamwork. Bonus points: Experience in end-to-end autonomous driving R&D. Bonus points: Experience in the mass production of advanced intelligent driving systems. Bonus points: Publications in top AI conferences/journals (e.g., CVPR, ICLR, NeurIPS, ICML, etc.).

Responsibilities

The role involves designing and coding AI Planning models, as well as creating training datasets from real vehicle data and simulations. Additionally, the position requires evaluating AI Planning models through simulations and real-world vehicle tests.