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Engineer (18-Month Leased Labor) - Data Analysis and Statistics
Posted by Huawei Research Center Germany on 21 July 2026, 80 days ago. Still on their Teamtailor board when we checked 33 min ago.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationMünchen, DE
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-07-21
Found viateamtailor, direct from their system
We saw it 3 months after it went up.
The posting, as the company wrote it
Huawei's Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
In the Automotive Engineering Lab (AEL) teams are rapidly growing and focused on advanced automotive technologies in multiple domains.
Join Automotive Engineering Lab (AEL) as:
Engineer (18-Month Leased Labor) - Data Analysis and Statistics (m/f/d)
Your mission
Conduct scenario data analysis, transforming raw operational data from open and in-house sources into rigorous, statistically valid data-driven evidence. Link between data-driven validation and regulatory frameworks such as UN-R157, EU Type Approval, and the AI Act, focused on supporting safety claims by robust statistical methods.
Explore and pre- and post-process driving data from open data and in-house data sources. Implementing data processing pipelines.
Design and execute statistical data analysis (e.g., using Bayesian inference, Monte Carlo simulations, or accelerated testing methods) to extrapolate real-world data into statistically significant claims.
Apply AI methods to data labeling, clustering, characterization.
Your areas of expertise
Bachelor’s or Master’s degree in Computer Science, Statistics, Data Analytics, Electrical Engineering or equivalent experience.
Profound knowledge and proficient skills in data analysis and programming languages, e.g., python, R, and frameworks such as pandas, sklearn, scipy and pythorch.
Experience with working with automotive scenario data, e.g., actor trajectory data or simulation in the loop data .
Experience in data preparation pipelines (ETL) and data quality pipelines.
Experience in ADAS function development or related automotive functions is an advantage.
Experience with SQL or no-SQL is an advantage.
Hands-on attitude and positive engagement to integrate into a high-performance team.
Proficiency in English. German and/or Chinese knowledge are an advantage.
By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here .
Your rewards of working here
Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
Self-responsible work in a competent, motivated and constantly growing team.
Please send your application and CV (incl. cover letter and reference letters) in English.
Huawei is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.
Copied from Huawei Research Center Germany’s own board, not rewritten. Original ↗
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