Internship / Master Thesis – Foundation Models for Automated Driving (m/f/d)
Berlin
Vollzeit
Was ehemalige und aktuelle Mitarbeiter:innen über diesen Arbeitgeber sagen
Geschätztes Gehalt
Das könntest du laut kununu User:innen als Bauspezialist:in in Deutschland verdienen
Ø 43.800 €
Bruttodurchschnittsgehalt Vollzeit
28.900 €68.300 €
Mehr Einblicke
Was die Firma über den Job sagt
It’s time to reshape automotive mobility for everyone!
At CARIAD, we have the mission to create and deliver leading digital technology for the Volkswagen Group. We’re uniting over 6,000 global experts to build powerful software architectures that enable completely new customer experiences.
Iconic models like the Volkswagen ID. Buzz, Audi Q6 e-tron, and Porsche Macan 4 Electric are already equipped with CARIAD technology.
Join us at CARIAD and become part of an exciting journey to shape the future of mobility!
YOUR TEAM
To support our "ADAS/AD Predevelopment" team, we are currently looking for an intern or thesis student. Our department works on software for automated driving in urban environments. Within this department, we are a team of ambitious and highly motivated experts in the field of environment perception for self-driving vehicles.
WHAT YOU WILL DO
- Research and assess novel methods for foundation models (Vision-Language and Self-Supervised Models) enhancing the perception and/or planning task in Automated Driving
- Investigate, train and evaluate neural networks for different downstream tasks (i.e. 3D object detection)
- Develop algorithmic ideas addressing open research challenges related to your topic
- Cooperate closely within the ADAS team to advance the self-driving stack
WHO YOU ARE
- Enrolled student in computer science, electrical engineering, data science, robotics or similar field (please specify the expected date of your graduation or end of enrollment)
- Profound knowledge in machine learning, especially deep neural networks
- Proficiency in Python and deep learning frameworks (PyTorch, OpenCV, scikit-learn)
- Experience in perception tasks like object detection, BEV detection would be beneficial
- Strong communication skills and analytical understanding
NICE TO KNOW
- Remote work options within Germany
- Duration: 3 to 6 months
- 35-hour week
- If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology