Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.

Audiovisual Technology Lab in Huawei Munich Research Center is developing innovative technologies on media sensing, processing and coding, and computer graphics. You will contribute to these activities being inserted into an international and experienced team of researchers.

Join us as a

Senior Engineer - Video and Image Compression (m/f/d) in Leased Labor

To support our research activities, we are looking for (hopefully) experienced, enthusiastic and highly motivated new colleague (m/f) who enjoys research and development of image and video compression algorithms. The Senior Engineer has the chance to join strong international research team, he/she will have a possibility to attend the international standardization meetings, present the developed technologies to the international community. This position requires strong programming skills and assumes that research activity will be accomplished by implementation to reference SW, testing and demonstrations. Our team actively participates in and leads JPEG AI standardization, knowledge and understanding complexity of NN-based algorithms would be very helpful.

Your mission

• Research on innovative algorithms in the field of image/video compression.
• Research on innovative algorithms in the field of image/video signal processing.
• Participate in international standardization and promote Huawei’s technologies to standard.
• Research on innovative algorithms in the field of artificial intelligent.
• Implement the innovative algorithms into the reference software, conduct comprehensive test.
• Generate papers, technical reports, patents.

Your areas of expertise

• You have (or will soon receive) PhD in electrical engineering, information technology, computer science, mathematics or physics
• You have a deep interest and proven record of scientific research achievement in the topics related to video compression and artificial intelligent
• You have understanding for basic principles of CNN structure and training
• You have knowledge of international video coding standards (at least HEVC or/and VVC); standardization experience is a plus
• You enjoy working in a team and you like to collaborate with researchers to develop creative solutions
• You are fluent in English (written and spoken)
• You have good understanding for visual quality metrics
• You have excellent software skills (C/C++, Python, Pytorch, Tensorflow, Matlab)

By applying to this position, you agree with our RECRUITMENT PRIVACY STATEMENT. You can read in full our recruitment privacy statement via the link below.

http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html

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. Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services. 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 197,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.