Internship / Thesis - Safety-Critical KPIs for Perception, Tracking & Planning (f/m/d)
Internship / Thesis - Safety-Critical KPIs for Perception, Tracking & Planning (f/m/d)
Ingolstadt, DE, 85053 Berlin, DE, 10587 München, DE, 80807
Internship / Thesis - Safety-Critical KPIs for Perception, Tracking & Planning (f/m/d)
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 careers@cariad.technology - we are happy to support you.
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 careers@cariad.technology - we are happy to support you.
Ingolstadt, DE, 85053 Berlin, DE, 10587 München, DE, 80807