Internship / Thesis - KPIs for Perception systems in Safety-Critical Automated Driving (m/f/d)
Internship / Thesis - KPIs for Perception systems in Safety-Critical Automated Driving (m/f/d)
Ingolstadt, DE, 85053 München, DE, 80807 Berlin, DE, 10178
Internship / Thesis - KPIs for Perception systems in Safety-Critical Automated Driving (m/f/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 works on software for automated driving in urban environments. Within this department, we are a team of ambitious and highly motivated experts in the field of environment perception for self-driving vehicles
WHAT YOU WILL DO
• Research and access novel KPIs/metrics for perception scenarios in automated driving
• Conduct an in-depth study and summarization of existing research related to multi-object tracking, safety-critical applications, and situation awareness in autonomous driving
• Integrate and implement promising approaches within our existing software environment, adapting them to the needs of the project
• Contribute to the development of algorithmic solutions to address open research challenges associated with the project
• Cooperate closely within the ADAS team to advance the self-driving stack
WHO YOU ARE
• Enrolled student in computer science, electrical engineering, data science, robotics or similar field (please specify the expected date of your graduation or end of enrollment)
• Profound knowledge in computer vision and deep neural networks
• Proficiency in Python and deep learning frameworks (PyTorch, OpenCV, scikit-learn)
• Experience in perception tasks like multi-object tracking and situation awareness is highly desirable
• Strong communication skills and analytical understanding
NICE TO KNOW
- Remote work options within Germany
- Duration: 3 to 6 months
- 35-hour week
At CARIAD, we value individuality and diversity. We see great strength in our differences and can all benefit from the unique perspectives of others. We strive to employ people with diverse backgrounds who have the expertise, energy and focus to advance our mission. If you're unable to submit an application because of a disability, please contact us at careers@cariad.technology.
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 works on software for automated driving in urban environments. Within this department, we are a team of ambitious and highly motivated experts in the field of environment perception for self-driving vehicles
WHAT YOU WILL DO
• Research and access novel KPIs/metrics for perception scenarios in automated driving
• Conduct an in-depth study and summarization of existing research related to multi-object tracking, safety-critical applications, and situation awareness in autonomous driving
• Integrate and implement promising approaches within our existing software environment, adapting them to the needs of the project
• Contribute to the development of algorithmic solutions to address open research challenges associated with the project
• Cooperate closely within the ADAS team to advance the self-driving stack
WHO YOU ARE
• Enrolled student in computer science, electrical engineering, data science, robotics or similar field (please specify the expected date of your graduation or end of enrollment)
• Profound knowledge in computer vision and deep neural networks
• Proficiency in Python and deep learning frameworks (PyTorch, OpenCV, scikit-learn)
• Experience in perception tasks like multi-object tracking and situation awareness is highly desirable
• Strong communication skills and analytical understanding
NICE TO KNOW
- Remote work options within Germany
- Duration: 3 to 6 months
- 35-hour week
At CARIAD, we value individuality and diversity. We see great strength in our differences and can all benefit from the unique perspectives of others. We strive to employ people with diverse backgrounds who have the expertise, energy and focus to advance our mission. If you're unable to submit an application because of a disability, please contact us at careers@cariad.technology.
Ingolstadt, DE, 85053 München, DE, 80807 Berlin, DE, 10178