ADAS Data Development_43012232
招聘时间
即日起 至 2026-06-19
招聘单位
大众汽车集团（中国）
所在地区
上海
工作地点
上海市闵行区申长路990号
学历要求
本科
实习时长
每周5天，每天6小时
职责描述
主要职责/Your Responsibilities:
1. Participate in the development of data-driven solutions for autonomous driving
2. Support the development of data cloud platforms to meet needs from internal stakeholders including testing and algorithm teams
3. Support design and implement APIs, tooling for data management, visualization or replay services to increase efficiency in data usage
4. Contribute to AI-driven business automation in data cloud platforms
5. Support technical documentation
岗位要求/Required Qualification:
1. Bachelor’s degree or above in computer science, electronics, automotive engineering or a related field.
2. Good knowledge and practical experience with Python or Java
3. Basic knowledge of HTTP, REST APIs, databases (MySQL, PostgreSQL, or Redis). Experience with Docker, Kubernetes and Git preferred
4. Basic understanding of message queues (Kafka), big data frameworks (Spark/Flink), or time‑series databases
5. Basic understanding of modern AI methods. Practical experience in business application or innovation project is a plus
6. Enthusiastic about exploring new technologies, good team communication, and self‑motivation
1. Participate in the development of data-driven solutions for autonomous driving
2. Support the development of data cloud platforms to meet needs from internal stakeholders including testing and algorithm teams
3. Support design and implement APIs, tooling for data management, visualization or replay services to increase efficiency in data usage
4. Contribute to AI-driven business automation in data cloud platforms
5. Support technical documentation
岗位要求/Required Qualification:
1. Bachelor’s degree or above in computer science, electronics, automotive engineering or a related field.
2. Good knowledge and practical experience with Python or Java
3. Basic knowledge of HTTP, REST APIs, databases (MySQL, PostgreSQL, or Redis). Experience with Docker, Kubernetes and Git preferred
4. Basic understanding of message queues (Kafka), big data frameworks (Spark/Flink), or time‑series databases
5. Basic understanding of modern AI methods. Practical experience in business application or innovation project is a plus
6. Enthusiastic about exploring new technologies, good team communication, and self‑motivation
