- Take part in the iteration of Momenta autonomous driving and improve the overall system behaviour.
- Responsible for data mining and manangement of the training and testing data
- Responsible for ADAS and autonomous driving function developing and issue analyzing
- Assist in adapting the development tools.
- Participate in the algorithm localization in overseas markets.
CP Planning Intern (m/f/d)
Böblingen
Full-time
Intern / Student
In this role, you will:
We would like you to have:
- Enrolled in a Bachelor or Master in computer science, vehicle engineering, automotive electronics, or mechanical engineering.
- Familiar with software development related tools like Git, Docker or similar.
- Experience with programming languages C++ and Python.
- Strong coordination ability, sense of responsibility, clear logic.
- Experience in ADAS or autonomous driving field and experience in ADAS or autonomous driving project development is preferred.
- Proficient in reading and writing in English and Chinese.
- Experience in high efficient working with AI agent.
- German reading/speaking is a plus.
- Passion for autonomous driving industry.
Why Momenta:
- High growth stage company
- Partnerships with Daimler, Bosch, GM, Toyota, SAIC
- Competitive package depending on experience
About us
We are committed to developing breakthrough AI solutions to push beyond the frontier of possibilities today and significantly improve people's quality of life.
We leverage our AI capabilities to develop autonomous driving solutions to enhance driving safety, convenience, and efficiency.
Through our autonomous driving technology and solutions, we aspire, in the next ten years, to save one million lives, save 100% driving time, and double the logistics and mobility efficiency.
We leverage our AI capabilities to develop autonomous driving solutions to enhance driving safety, convenience, and efficiency.
Through our autonomous driving technology and solutions, we aspire, in the next ten years, to save one million lives, save 100% driving time, and double the logistics and mobility efficiency.
