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Internship / Thesis - AI-Based Semantic Mapping for Autonomous Driving (w/m/d)

Volkswagen Group5 hours agoWorking Student
€13.90/hrHybridEnglish requiredTechAI, ML & Data Science

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

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

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