Senior Engineer – AI Spatial Audio Algorithms (18-Month Leased Labor)
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Senior Engineer – AI Spatial Audio Algorithms (18-Month Leased Labor)
Location
Huawei Heisenberg Research Center (Munich)
Experience
Senior
Posted
Jul 14, 2026
Apply by
August 13, 2026
Applicants
0
Early applicantEasy applyContractWork from Office
Job Description
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 in the field of acquisition, encoding and decoding, processing and presentation for the media field, including audio, video, image and graphics. You will contribute to these activities being inserted into an international and experienced team of researchers.
Join us as a
Senior Engineer – AI Spatial Audio Algorithms (18-Month Leased Labor) (m/f/d)
Your mission
· Design and train neural network architectures for spatial audio content modification and synthesis (e.g. stereo-to-multichannel upmixing, source separation, channel/format conversion), combining data-driven modeling with domain-specific audio priors
· Reduce model complexity and inference latency to enable real-time, on-device execution on mobile/embedded hardware
· Define perceptually motivated loss functions and evaluation metrics that combine deep learning training objectives with signal-processing-based measures
· Develop signal processing modules / pipelines for rendering spatial audio content
Your areas of expertise
· A Master's or Doctoral degree in Computer Science, Electrical Engineering, Signal Processing, or related fields.
· Strong theoretical and hands-on expertise in digital signal processing
· Solid background in ML / AI, including model development and data processing.
· Strong programming skills in Python, C/C++, or similar.
· Passionate about audio and (psycho-)acoustics.
· Practical experience with audio mixing and mastering workflows is a plus.
· Strong analytical and problem-solving skills, with the ability to work independently on complex tasks.
· Fluency in written and spoken English.
By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy [here](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. 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.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.
Key Responsibilities
- Design and train neural network architectures for spatial audio content modification and synthesis
- Reduce model complexity and inference latency for real-time on-device execution
- Define perceptually motivated loss functions and evaluation metrics
- Develop signal processing modules and pipelines for rendering spatial audio content
Requirements
- Master's degree in Computer Science
- Electrical Engineering
- Signal Processing
- or related fields
- Doctoral degree in Computer Science
- Electrical Engineering
- Signal Processing
- or related fields
Skills Required
Digital signal processingMachine LearningAIPythonC/C++Neural network architecturesSpatial audio algorithmsAnalytical skillsProblem-solvingAbility to work independentlyFluency in EnglishAudio mixingAudio mastering
Benefits
- Healthy meals in company canteen
- Training opportunities including language courses
- Diverse and welcoming environment
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