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CA
CARIAD SE
15d ago

Master Thesis - Edge AI for Real-Time Scenario Detection in Autonomous Driving(m/w/x)

Ingolstadt
from 13.9 / hour
Part-timeWith Home Office
AI/ML
Data Science

Description

In this role, you will focus on developing real-time AI models to help vehicles autonomously recognize rare driving scenarios. You will also modernize existing algorithms and evaluate their performance against traditional methods.

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Requirements

  • •Enrolled student in Computer Science, Robotics, Software Engineering, Physics, Mathematics, or comparable field
  • •C++ skills and proficient knowledge of Python
  • •Basic understanding of ML concepts (unsupervised learning, anomaly detection)
  • •Engineer at heart with problem-solving skills for low-level integration challenges
  • •Fluency in English; good knowledge of German is beneficial
  • •Structured, independent, and capable of working in an agile team environment

Education

Currently in higher education

Tasks

  • •Prototype online unsupervised learning models for real-time scenario detection
  • •Port offline Python methodologies to efficient C++ implementations for in-vehicle use
  • •Adapt legacy algorithms to current sensor stacks and modern perception outputs
  • •Conduct comparative studies between offline models and lightweight online implementations

Tools & Technologies

C++Python

Languages

English – Business Fluent

German – Basic

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