Auf einen Blick
- Aufgaben: Analysiere Daten und entwickle statistische Modelle für innovative Automobiltechnologien.
- Unternehmen: Huawei's Heisenberg Research Center in München mit einem kreativen Teamgeist.
- Vorteile: Gesunde Mahlzeiten, umfangreiche Weiterbildungsmöglichkeiten und ein internationales Arbeitsumfeld.
- Weitere Informationen: Dynamisches Team mit über 40 Nationalitäten und vielen Entwicklungschancen.
- Warum dieser Job: Gestalte die Zukunft der Automobiltechnik mit datengetriebenen Entscheidungen und innovativen Methoden.
- Qualifikationen: Bachelor oder Master in Informatik, Statistik oder verwandten Bereichen erforderlich.
Das prognostizierte Gehalt liegt zwischen 51750 - 63250 € pro Jahr.
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.
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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.
Engineer (18-Month Leased Labor) - Data Analysis and Statistics Arbeitgeber: Huawei
Huawei's Münchener Forschungszentrum bietet eine dynamische und multikulturelle Arbeitsumgebung, die von Innovationskraft und Teamgeist geprägt ist. Als HR Operations Specialist profitieren Sie von umfangreichen Weiterbildungsmöglichkeiten, einer gesunden und vielfältigen Kantine sowie der Chance, in einem kompetenten und motivierten Team zu arbeiten, das sich ständig weiterentwickelt. Die internationale Ausrichtung und der Austausch mit rund 40 Nationalitäten fördern ein offenes und anpassungsfähiges Arbeitsklima, das Ihre persönliche und berufliche Entwicklung unterstützt.
