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ADAS Cloud Architecture Intern

Job ID:

00061897

City:

21st Floor, Block A, No.2, Lane 699 Tongchuan Road, Putuo District, Shanghai (Zhonghai Center A), China

Employment Type:

Created at:

08.05.2025

Apply NoweMail for applications: recruiting-china@iav.de

       作为全球领先的工程技术合作伙伴之一,IAV 致力于未来可移动性的研发。不论具体的制造商,IAV 的工程技术已在全世界范围的车辆和技术领域证明了自己的实力。

       凭借超过35 年的经验和卓越的专业知识,IAV 将不同领域的优势融合在一起:汽车与IT、硬件与软件、产品与服务。凭借超过7,500 名员工及一流的技术资源,从概念到开始生产,IAV都能为客户的项目实施提供帮助。IAV 的目标:更好的可移动性。

       艾尔维中国公司成立于2005 年,总部位于上海国际汽车城,并在2024年于上海普陀真如新增设一处办公室;同时艾尔维公司北京分公司和合肥分公司分别于2012 年和2022年成立。艾尔维公司致力于其基础研究,开展其高端开发活动,并跨学科地开展工作。

Job Responsibilities:

  1. Assist in cloud architecture deployment and implementation of cloud computing-related projects.
  2. Participate in cloud resource management and cloud platform setup, including Kubernetes cluster management, containerized deployment, and maintenance.
  3. Write and optimize data processing and analysis scripts related to cloud computing to enhance data utilization efficiency.
  4. Engage in front-end and back-end development work to support the implementation and optimization of cloud platforms and simulation systems.
  5. Assist the team in drafting various technical documents and organizing meetings and project activities.

Qualifications:

  1. Bachelor's degree or above in computer science, software engineering, network engineering, communication, cloud computing, or related fields (currently enrolled).
  2. Strong programming foundation, proficient in one or more of the following programming languages: Python, C/C++, SQL, JavaScript.
  3. Familiar with cloud computing concepts, experience with containerization tools like Kubernetes and Docker is preferred.
  4. Knowledge of common cloud service platforms such as AWS, GCP, Alibaba Cloud, or Tencent Cloud, with practical experience in cloud deployment preferred.
  5. Familiar with message queue and task scheduling tools like Kafka, Airflow, RabbitMQ, with relevant experience preferred.
  6. Bonus: Experience in installing, using, and debugging Linux systems.
  7. Bonus: Experience in using Nginx or API Gateway for reverse proxy and traffic management.
  8. Bonus: Understanding or experience with large language models (e.g., ChatGPT).
  9. Strong teamwork and communication skills, with a proactive learning attitude.