Internship / Thesis - AI-Based Semantic Mapping for Autonomous Driving (w / m/d) | Students
Mönsheim, Germany
Key offer highlights
Backend: Java / .NET / Node / Python
Employment: contract
Remote work - no commuting
Full-time
Description
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! 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.
YOUR TEAM
You will join our ground truth generation team working at the intersection of academia and industry. Working closely with our PhD researchers, you will contribute to ongoing research on radar-camera fusion and semantic mapping for autonomous vehicles. Together, we tackle challenging problems in multi-sensor scene understanding, 3D semantic map generation, and cross-modal alignment between vision and radar data. Our goal is to advance multi-modal perception systems that enable vehicles to perceive and reason about complex driving environments under all weather and lighting conditions.
NICE TO KNOW
Remote work options within Germany
Duration: 3 - 6 months
35 h/week
Salary: 13,90 €/hour
Company
CARIAD SE
Contract
Fixed-term
Department
Apprenticeship & Study
Shift
Full-time
Experience
Students
WHO YOU ARE
Excellent academic performance
Enrolled student in Computer Science, Robotics, Electrical Engineering, Mathematics or equivalent
Know-how of relevant sensors for autonomous driving and measurement technology
Programming knowledge and experience in Python and/or C++
Confident in English in both oral and written form
Open-minded team player, passionate about self-driving technologies and solving hard problems
First research experience (e.g., internships, projects, papers, or coding competitions) is a plus
WHAT YOU WILL DO
Independently investigating novel approaches for radar-camera fusion
Developing and evaluating methods for semantic scene understanding and/or 3D scene representations
Designing experiments and comparing your approach against state-of-the-art methods
Analyzing results and deriving insights for multi-modal perception systems