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Internship / Thesis - Safety-Critical KPIs for Perception, Tracking & Planning (f/m/d)

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vor 7 TagenTech

Internship / Thesis - Safety-Critical KPIs for Perception, Tracking & Planning (f/m/d)

CARIAD

Ingolstadt, Deutschland€13.90/hrRemoteEnglisch & Deutsch
Geschätztes Netto: €879/mo+Zum Steuerrechner
Gehaltsdaten für Ingolstadt ansehen

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Erforderliche Skills
scikit-learnPytorchGeometricAlgorithmic DevelopmentData AnalysisProbabilistic ModellingVehicle Dynamics3D Object DetectionMultiobject TrackingComputer VisionDeep LearningExperimental DesignPyTorchPythonMotion ForecastingResearch Literature Review
Stellenbeschreibung
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

To support our “ADAS/AD Predevelopment” team, we are currently looking for an intern or thesis student. Our department develops software for autonomous driving in urban environments. Within this department, we are a team of ambitious, highly motivated experts in environmental perception for self-driving vehicles.

What You Will Do

  • Support one of our PhD students in advancing safety-critical 3D object detection, tracking, and situational awareness for autonomous driving
  • Summarize research literature related to your research project
  • Develop and prototype algorithmic ideas that improve safety-critical perception by incorporating feedback from downstream modules such as motion forecasting and planning
  • Design and implement evaluation metrics that translate perception errors into physically meaningful safety costs - going beyond standard mAP/recall
  • Conduct comprehensive experiments on internal as well as public datasets

Who You Are

  • Enrolled student in computer science, machine learning, automotive engineering,

robotics, electrical engineering or similar field.

  • Solid theoretical and practical foundations in computer vision, machine learning,

and deep neural networks.

  • Experience in any of the following is a strong plus: 3D object detection, multiobject tracking, motion forecasting, probabilistic modelling, or vehicle dynamics.
  • Proficiency in Python and deep learning frameworks (PyTorch, scikit-learn, PytorchGeometric)
  • Structured and independent work, above-average commitment and flexibility is

highly expected.

  • Strong communication skills and analytical understanding

NICE TO KNOW

  • Remote work options within Germany 
  • Duration: 6 months 
  • 35-hour 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.
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