Working Student – Implementation machine learning algorithms in electrical powertrain – Vehicle Motion (m/f/d) Part Time

Working Student – Implementation machine learning algorithms in electrical powertrain – Vehicle Motion (m/f/d)

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

Our “Vehicle Motion & Energy” team is looking for a working student to support on the domain areas of electric drivetrain and power electronics. Our deliverables include machine control, application software within power electronics, cross-connected software for vehicle functionalities, as well as core functions to drive the ECU across the Volkswagen Group product portfolio. We enable future innovations, provide best-in-class driving experiences, and make a significant contribution to the overall driver experience.

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
• If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology

YOUR RECRUITING CONTACT

Carmen Dörwald

At CARIAD, we value individuality and diversity. We see great strength in our differences and can all benefit from the unique perspectives of others. We strive to employ people with diverse backgrounds who have the expertise, energy and focus to advance our mission. If you’re unable to submit an application because of a disability, please contact us at careers@cariad.technology.