Master Thesis Student (m/f/d) - Efficient AI for Autonomous Driving

DENSO · Eching, BY, Germany

Company

DENSO

Work style

Hybrid

Employment

Full Time

Location

Eching, BY, Germany

Published

2026-10-08

Source checked

2026-10-28

Listing source

SmartRecruiters Posting API

About this role

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 Vision Language Action (VLA) models show strong performance for data-driven autonomous driving using latest AI technology. As VLA systems combine LLMs for text input, computer vision encoder and complex action generation, the system often consume considerable resources and memory. A recent line of research is focusing on more efficient VLA models, mainly by optimizing how the different modules VLAs interact. This master’s thesis focuses on evaluation, benchmarking and enhancing of VLA models which focus on efficiency The project involves systematic evaluation of different VLA systems and optimization techniques on realistic benchmarks. Key Research Areas: Review of VLA models for autonomous driving regarding efficiency Quantitative evaluation of VLA systems and features regarding inference efficiency (time, memory) (optional) Enhancements of VLA systems for inference, integrating or combining different mechanisms for efficiency improvement This position is only for students enrolled in a university looking for a Master Thesis. For students at TUM in München, thesis supervision from university side can be provided. For others, this needs to be agreed with their home university. Qualifications Currently enrolled in a computer science / engineering Master studies with a focus on data analysis, automotive, engineering or similar Interest in autonomous driving and machine learning Basic understanding of deep learning and model training Ability to read and modify research codebases Proficiency in Python Experience with VLA is a plus Additional Information Home office: Possibility to work from home Health: Yearly health & wellbeing days, Urban Sports Club membership Attractive working environment: Modern offices, canteen onsite and free parking 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

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