Working student (m/f/d) - Generative AI-supported Testing Methods for Automated Driving Development

Company Description

As an automotive supplier, DENSO is leading in developing and providing components and systems for heating, air conditioning, motor cooling, exhaust gas aftertreatment, automotive electrics and electronics and instrumentation.

Job Description

Complexity and scale of automotive systems are increasing, particularly in the area of automated driving and advanced driving assistance systems. The increased complexity of such safety-critical systems demands for advanced testing and verification methods to ensure safety under an abundance of operating conditions and traffic scenarios that may be encountered.

Recently, generative AI has shown promising results for content generation, such as for text, image, or video generation. In our R&D work, we would like to explore the possibilities of using generative AI to create critical traffic scenarios learned from traffic data.

We are seeking for a talented and driven Working Student (m/f/d) to join the Systems Engineering R&D team and support the development of testing methods by using recent results from generative AI for traffic scenario and video generation. In your role, you gain hands-on experience on the training and validation of generative AI models, and contribute to our R&D testing platform for automated driving. The work is part of the public funded project nxtaim.de.

Responsibilities:

• Development of data pipeline to condition the traffic video generator on critical trajectories
• Conversion of trajectory and map data into dedicated format
• Integration of the pipeline into our existing traffic generation workflow
• Evaluate the traffic video generator to extract critical traffic scenarios

Qualifications

• Pursuing a B.Sc/M.Sc degree in Computer Science, Electrical Engineering, or a related field.
• Strong programming skills in Python.
• Familiarity with machine learning training frameworks (pytorch) is a plus.
• Familiarity with public large-scale datasets for autonomous driving (nuScenes, Waymo Open Dataset) is a big plus.
• Optional: Knowledge in ROS/ROS2.
• Fluent level of English or German is required.
• Team player with intercultural competencies as well as independent working style with good self-organization capabilities.

Additional Information

• The project will first run for 6 months, with the possibility of extension.
• Employee-Benefits: Urban Sports Club etc.
• Attractive working environment: Modern offices, own canteen, free parking spaces
• International company: Career opportunities in a global environment
• Open company culture: Diverse, multicultural team
• Events: Regular company & team events

It has come to our attention that various individuals have contacted people offering false employment opportunities with DENSO. Such scams are fraudulent and intended to steal from the victims.

By making you aware of this, we hope to avoid and ultimately stop victims from falling for this scam. Please do not provide any personal or financial information and do not send any money to anyone you suspect of recruitment fraud.

If you are contacted by someone whom you suspect may not be appropriately representing DENSO, please email: EU_DIEU_TALENTACQUISITION@eu.denso.com. Please forward the original email that you received that includes the original subject line and complete header information.

Do not send CVs or vacancy applications to that email address as it will not be reviewed or considered. If you wish to apply for a job, please submit your application for an open position to https://careers.smartrecruiters.com/DENSOINTERNATIONALEUROPE