Intern- Predictive Safety Adas: Extension of - Ingolstadt, Deutschland - CARIAD SE

CARIAD SE

Geprüftes Unternehmen

Ingolstadt, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Intern

Predictive Safety

ADAS:
Extension of Simulation/ Resimulation tool chains (M/F/d)

Software Engineering

Student & Talent Programs

Ingolstadt

At CARIAD, we're bundling and further expanding the Volkswagen Group's software expertise.

We're uniting over 6,500 global experts to build a scalable technology stack, including a software platform, unified electronic architecture and reliable connection to the automotive cloud.

Our CARIDIANS are developing vehicle functions such as driver assistance systems, a next-generation infotainment platform, power electronics and charging technology, and digital services in and around the vehicle.

Our software can already be found in Volkswagen ID. models and will soon power Audi and Porsche vehicles with the E3 1.2 platform in 2024.

It's no easy task, but with experts like you, we can shape the future of mobility. Join us at CARIAD and be part of this exciting journey

YOUR TEAM:

We're developing next generation predictive safety functions in the trendsetting field of ADAS. This includes developing, testing and experiencing the future of mobility from concept phase to market readiness. Our highly motivated team is working in an interdisciplinary, networked and agile environment.

In order to accelerate our development in terms of promoting a safe driving experience, we are looking for an intern to support us in the development of scripting and tooling.

WHAT YOU WILL DO:

Support our team by running comparative analysis on virtual and real tests.
Creat and modeling simulation scenarios.
Develop scripts and tools for analyzing large amounts of data generated by simulation.
Create tools for automatic API interaction (Azure, Python).
Extende SWpackaging checks (CI/CD)

WHO YOU ARE:

Enrolled student in one of the following studies: mathematics, engineering, natural sciences, technical related programs or equivalent field.
Practicial experience with progamming languages such as: Windows, Linux, C, C++, Python, Bash or Batch.
Good knowledge of the simulation environment IPG CarMaker is an advantage
Knowledge of vehicle and control technology would be beneficial.
Fluent communication skills in German and English (written and spoken)
Proactive, selfstarter and teamplayer mindset.

NICE TO KNOW: