[4-6 months; 4-5 days/week] Name of Project: [Kunlun] ADAS AI Data Platform Project Objectives - Understand the Mercedes-Benz Cloud-based data usage approach, collaboration mode and standards. - Understand AI infrastructure and foundational pipeline setup on cloud. (e.g. Backend service, Algorithm application implementation, etc.) - Contribute to AD users daily usage on Data Visualization, Model Evaluation, Simulation Testing, etc. - Have opportunity to work with top level industry algorithm experts and cloud experts. Learn the working style and understand how to landing cutting-edge application in industry. - Contribute brand new insight to innovation projects. Main Tasks： - Good communication skills in understanding/explanation to abstract the requirements for finding a good product solutions(50%) - Good at using AI tools with prompt to realise your personal insights (30%) - Script programming (e.g. Python) on Cloud based Algorithim/Backend/Service development(10%) - Autonomous Driving knowledge background (10%) Learning Opportunities： 1. Work with top senior AD AI software developer in the industry 2. Learn the industry leading AD Cloud-based software architecture. 3. Onhands experience in building a software component and to be familiar with self-driving function development 4. Have opportunity to use the world leading latest cloud resources (e.g. GPU, TPU, on-car SOC) which cannot find outside Mercedes-benz. 5. Work with world leading cloud experts from Alibaba, Tencent, Bytedance, Azure, AWS, Mercedes-Benz... 6. Understand China specification in self-driving car development industry like compliance cloud Key Qualifications： [Required:] - Master degree, Computer Science/Electric Engineering/Automation/Automobile/etc. - Proficient in communication. - Proficient sense of product design insight and capabilities in understanding/explanation. - Passion and curious to use cutting-edge tools of LLM/VLM/etc. (e.g. Claude, Doubao, GPT etc.) to figure out the route-path (prompt) of solutions by using AI tools. - Basic knowledge of computer technology and script coding (e.g. python, Linux, IDEs etc.) [Prefered:] - Capable to use git, docker, and other software developing tools - Capable to know ADAS function release pipelines (e.g. NOA, OTA etc.)