锦鲤求职岗位描述
[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.)