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Intern Autonomous Driving

Posted Oct 10, 2026

Analyze in Job Fit

Mercedes-Benz AG

Sindelfingen

EnglishPraktikumInternshipNo German needed

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Salary (estimate)

Full-time reference: €37,000–€58,000/year

About this job

Life is always about becoming… Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.

Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.

Job-ID: MER00048N9

Tasks

In our department for Autonomous Driving Research and Development, we are committed to shaping the future of mobility through the development of highly automated driving systems for highway and urban environments. Our work covers the research, development and validation of advanced machine learning methods, perception systems and decision-making algorithms for next-generation autonomous vehicles.

For this exciting and challenging area, we are looking for an Intern Autonomous Driving (Mandatory Internship) to support our research activities in uncertainty estimation for end-to-end autonomous driving.

These challenges await you:

Conducting a comprehensive literature review of state-of-the-art end-to-end autonomous driving approaches and uncertainty estimation methods

Evaluating and selecting suitable uncertainty estimation techniques for integration into end-to-end autonomous driving systems

Integrating and validating uncertainty estimation methods within the end-to-end driving pipeline

Analyzing the impact of uncertainty on planning and decision-making, particularly in novel and rare driving scenarios

Implementing, optimizing and evaluating machine learning frameworks for training and validation purposes

What you can expect:

Insights into cutting-edge research and development in autonomous driving
Collaboration with experienced experts in machine learning and automated driving technologies
Opportunities to contribute to innovative research projects with real-world relevance
Access to state-of-the-art development and evaluation environments
An international and interdisciplinary working environment

The activity can begin from November 2026.

Studies in the field of Computer Science, Robotics, Physics, Mathematics, Electrical Engineering or a comparable course
Strong programming proficiency in Python
Solid understanding of deep learning methods, particularly neural networks, as well as experience with common software frameworks such as PyTorch and the MMDetection family
Hands-on experience with Linux and software development in Linux environments
Very good communication skills and proficiency in English
Ability to work in a team
Analytical way of thinking and strategic way of working
Engagement

Preferred qualifications:

Knowledge of perception, prediction, planning and uncertainty estimation
Experience publishing research results at deep learning or robotics conferences, including collaborative publications
Hands-on experience with containerization technologies such as Docker
Familiarity with Large Language Models (LLMs), Vision Language Models (VLMs) and Vision-Language-Action Models (VLAMs)

Additional Information:

We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, and proof of the standard period of study. Please remember to mark your documents as "relevant for this application" in the online form and observe the maximum file size of 5 MB.

You can find further information on the hiring criteria here .

Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees ( ) will gladly support you in the application process.

People Solutions will be happy to help you with any questions you may have about the application process. You can reach us by email at or by phone at (Mon-Fri 10am-12pm & 1pm-3pm).

Meal-Discounts
Mobile Phone for Employees Possible
Discounts for Employees Possible
Annual Profit Share Possible
Events for Employees
Coaching
Flextime Possible
Hybrid Work Possible
Health Benefits
Company Retirement
Mobility Offers
Parking
Inhouse Doctor
Good Public Transport
Barrier-Free Workplace
Near-Site Childcare
Canteen, Café

Mercedes-Benz Plant Sindelfingen, Sindelfingen

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Job facts

Employer: Mercedes-Benz AG
Role: Intern Autonomous Driving
City: Sindelfingen
Work mode: not stated
Language: English
Seniority: Praktikum
Posted: Oct 10, 2026
Source: StepStone

Company rating

Glassdoor 4.1
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Kununu 3.9
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