Internship - Radar-Based Vehicle Localization and State Estimation (SYS Eng at Aumovio

Lindau (Bodensee), Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Radar-Based Localization, State Estimation, Point Cloud Registration, Iterative Closest Point (ICP), MS Office, German Language, English Language, Algorithm Optimization, Simulation Data Analysis, Measurement Data Evaluation

Industry

Motor Vehicle Manufacturing

Description

Company Description Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide. Job Description We are looking for a highly motivated student (m/f/diverse) to join our System Engineering team from August 2026 for a duration of approx. 6 months and contribute to the development of next-generation radar-based localization technologies for automotive applications. During this internship, you will work on advanced algorithms for processing sparse radar data and support the development of innovative approaches to improve vehicle localization and state estimation. You will gain hands-on experience with state-of-the-art radar sensing technologies and contribute to real-world challenges in automated and assisted driving systems. Your Responsibilities include: Analyze and evaluate existing approaches for radar-based point cloud registration Implement and optimize Iterative Closest Point (ICP) algorithms for sparse radar data Develop and assess quality metrics and confidence indicators to improve registration robustness and minimize localization errors Evaluate the performance of developed algorithms using simulation and measurement data Document results and present findings to the project team Qualifications You are wondering whether you are a good fit for the Mandatory Internship - Radar-Based Vehicle Localization and State Estimation (SYS Eng)? Here are some key qualifications, we are looking for: Student (m/f/diverse) in Industrial Engineering or a comparable field of study Confident and routine use of MS Office applications Very good German and English skills, both written and spoken Please remember to upload your current certificate of enrollment, your current transcript of records, and if applicable, an excerpt from your study regulations confirming the requirement for a mandatory internship, as these documents are essential for processing your application. If applicable, please also submit your valid residence permit and your work permit including the supplementary sheet. Applications from people with severe disabilities are welcome. Additional Information Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next. Legal Entity: ADC Automotive Distance Control Systems GmbH (0460) Referral Bonus : No Working time: Full Time

Responsibilities

The intern will develop and optimize radar-based localization algorithms, specifically focusing on Iterative Closest Point (ICP) for sparse radar data. They will also evaluate algorithm performance using simulation and measurement data and document their findings.