Quick Summary
Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
Support the development and optimization of AI-based methods for acoustic scene classification, spatial audio and etc.
Contribute to experiments, evaluation, and benchmarking of relevant AI models.
Help with data processing, visualization, and testing of prototype methods.
Major in computer science, electrical engineering, signal processing, or related fields.
Practical experience in developing AI algorithms.
Independent and well-structured working style with a hands-on, can-do attitude.
Fluency in written and spoken English.
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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.
Location & Eligibility
About this job
- Posted
- 1 day ago
Listing Details
- Posted
- November 9, 2026
- First seen
- November 9, 2026
- Last seen
- November 10, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- November 10, 2026
Signal breakdown
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