Working Student
vor 2 Wochen
Working Student - Implementation machine learning algorithms in electrical powertrain - Vehicle Motion (M/F/d)
**Software Engineering**
**Student & Talent Programs**
- Munich, Ingolstadt
At CARIAD, we're bundling and further expanding the Volkswagen Group's software expertise. We’re uniting over 6,500 global experts to build a scalable technology stack, including a software platform, unified electronic architecture and reliable connection to the automotive cloud. Our CARIDIANS are developing vehicle functions such as driver assistance systems, a next-generation infotainment platform, power electronics and charging technology, and digital services in and around the vehicle.
Our software can already be found in Volkswagen ID. models and will soon power Audi and Porsche vehicles with the E3 1.2 platform in 2024.
It's no easy task, but with experts like you, we can shape the future of mobility. Join us at CARIAD and be part of this exciting journey
**YOUR TEAM**:
Join us and become part of a highly motivated, innovative and crossfunctional team in developing the process of electric drivetrain and power electronics functions with system design.
**WHAT YOU WILL DO**:
- Support the team in the developmental process of electric drivetain and power electronics
- Derive and come up with solutions to tackle the problems of the electric powertrain in the context of machine learning
- Develop and implement the proof of concept
- Integrate software in the loop
**WHO YOU ARE**:
- Enrolled student in mathematics, physics, informatics, computer science or equivalent field
- Knowledge in Python and C/C++
- Experience in machine learning algorithms
- Practical experience in machine learning libraries (tensorflow, keras, pytorch) is a plus
**NICE TO KNOW**:
- Remote work options
- Duration: 6 months
- 20 h/week, with the option to adjust to 35 h/week during semester break
**YOUR RECRUITING CONTACT**:
Carmen Dörwald
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