
Internship / Thesis - AI-Based Semantic Mapping for Autonomous Driving (w/ m/ d)
At a glance
Pay
€13.90/hr ≈ €1,092 net per month at 20 h/week
Requirements
Studies: Computer science, mechatronics, electrical engineering, mathematics and statistics or related · must be enrolled
Hours & duration
35 h/week · 3–6 months
Good to know
Thesis possible
Employer
Volkswagen Group · Automotive · 10,000+ employees worldwide · HQ in Wolfsburg
We list 137 open student roles at Volkswagen Group, 6 in Mönsheim, DE, 71297. 227 more have closed since March 2026. See all Volkswagen Group roles
Similar roles
Skills in the ad
semantic scene understandingmulti-modal perceptionradar-camera fusionPythondeep learningC++3D scene representations
Job description
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Description provided by Volkswagen Group
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
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.
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
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
NICE TO KNOW
- Remote work options within Germany
- Duration: 3 - 6 months
- 35 h/week
- Salary: 13,90 €/hour
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 [email protected] - we are happy to support you.
Rules that apply:20-hour rule140/280-day ruleWerkstudentenprivilegNet pay calculator