Jobs
Meine Anzeigen
Jobs per E-Mail
Anmelden
Stellenangebote Job Tipps Unternehmen
Suchen

Internship / master thesis - latent predictive world models for end-2-end autonomous driving (f/m/d)

Ingolstadt
Praktikum
Abschlussarbeit
CARIAD
Model
Inserat online seit: 2 August
Beschreibung

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche - supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone. Join us and be part of this exciting journey! YOUR TEAM We offer you an exciting opportunity for your master thesis or for an internship in our ADAS/AD Pre-Development team in in the field of model engineering for autonomous driving. For the following topic you get the responsibility: latent predictive world models. The aim of this master thesis / the internship is to assess the current research on latent world models, to evaluate how they can be employed and to integrate a pre-trained model in our AD/ADAS stack and/or learning environment.The department works on software and machine learning models for automated driving in urban environments. Within this department, we are a team of ambitious and highly motivated experts in the field of self-driving vehicles working in an agile environment to advance the autonomous driving stack. WHAT YOU WILL DO Research and assess the state-of-the-art of latent world models for autonomous driving Finetune existing world models on automotive datasets for latent state forecasting Conduct extensive experiments on public and internal datasets Assess the usage of world models for end-2-end motion planning and closed-loop training Work closely with our PhD students and the model engineering team WHO YOU ARE Enrolled Master student in the area of Computer Science, Robotics, Electrical Engineering or similar Very good academic performance Good general knowledge in the field of (self-)supervised learning, transformer-based architectures, and (vision) foundation models Very good knowledge of machine learning frameworks such as PyTorch Applied knowledge in software development and programming in Python and C++ Structured and independent work, above-average commitment and flexibility Strong communication skills and analytical understanding NICE TO KNOW Remote work options within Germany Duration: 6 months with the option to extend 35-hour week At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.

Bewerben
E-Mail Alert anlegen
Alert aktiviert
Speichern
Speichern
Mehr Stellenangebote
Ähnliche Angebote
Kunst und Kultur Jobs in Ingolstadt
Jobs Ingolstadt
Jobs Ingolstadt (Kreis)
Jobs Bayern
Home > Stellenangebote > Kunst und Kultur Jobs > Model Jobs > Model Jobs in Ingolstadt > Internship / Master Thesis - Latent Predictive World Models for End-2-End Autonomous Driving (f/m/d)

Jobijoba

  • Job-Ratgeber
  • Bewertungen Unternehmen

Stellenangebote finden

  • Stellenangebote nach Jobtitel
  • Stellenangebote nach Berufsfeld
  • Stellenangebote nach Firma
  • Stellenangebote nach Ort
  • Stellenangebote nach Stichworten

Kontakt / Partner

  • Kontakt
  • Veröffentlichen Sie Ihre Angebote auf Jobijoba

Impressum - Allgemeine Geschäftsbedingungen - Datenschutzerklärung - Meine Cookies verwalten - Barrierefreiheit: Nicht konform

© 2025 Jobijoba - Alle Rechte vorbehalten

Bewerben
E-Mail Alert anlegen
Alert aktiviert
Speichern
Speichern