Job
- Level
- Experienced
- Location
- Vienna
- Working Model
- Onsite
- Job Field
- Application, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 60.000 to 68.000€ gross/year
Job Summary
In this role, you will develop signal processing algorithms to enhance audio experiences, integrate them into real-time systems, and work on new technologies like noise reduction and speech enhancement.
Job Technologies
Your role in the team
- DSP engineers in the Audio Technology Licensing group work in cross-disciplinary, highly collaborative teams to develop and deploy signal processing algorithms that improve audio experiences for our technology partners and their customers.
- You will contribute to a broad set of technologies including audio signal processing, speech and voice processing, noise reduction, and microphone array systems, and gain experience adapting algorithms to different hardware and software environments.
- Design, implement, and test DSP algorithms to solve technical challenges for licensable audio technologies.
- Contribute to delivering new customer and partner benefits using technologies such as active noise reduction, voice pickup, spatial audio, and speech enhancement.
- Work with senior engineers to ensure algorithms are robust, portable, and scalable across multiple platforms and partner products.
- Support the integration and validation of DSP algorithms on embedded, real-time systems.
- Assist in adapting and tuning algorithms for different hardware, software, and system constraints encountered in a licensing environment.
- Participate in technical evaluations of third-party technologies and contribute to make-vs-buy analyses when appropriate.
- Collaborate with internal teams across engineering, systems, software, and product management to support partner delivery and long-term platform goals.
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Our expectations of you
Qualifications
- Proficiency in programming signal processing algorithms using C, Python, and Matlab; exposure to fixed-point or optimized implementations is a plus.
- Familiarity with acoustics and acoustic measurements, including microphones and audio transducers.
- Ability to evaluate and integrate third-party algorithms and libraries.
- Exposure to applied machine learning techniques for audio systems, such as ML-assisted noise reduction, speech enhancement, or audio classification.
- Vertrautheit mit Bluetooth-Audiosystemen und deren Einschränkungen.
- Interest in understanding how DSP algorithms scale across different platforms and partner implementations.
- Effective communication skills, with the ability to discuss technical topics with engineers from different disciplines.
- A collaborative, self-directed working style suited to small, highly technical teams.
- BS in Electrical Engineering, Computer Engineering, or a signal-processing-related field; MS preferred.
Experience
- Solid foundation in digital signal processing, with experience in audio and/or speech processing.
- Experience developing DSP algorithms for embedded or real-time systems.
- Experience debugging embedded systems and working with audio lab equipment.
- 4+ years of relevant industry experience in DSP, audio, or related embedded systems development.
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What we offer
- This role is well suited for a junior-to-mid level engineer who enjoys applying strong DSP fundamentals while learning how to design algorithms that must scale across multiple platforms, partners, and use cases.
- This role provides strong opportunities for technical growth while maintaining clear ownership of deliverables.
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Benefits
Food & Drink
Work-Life-Integration
Health, Fitness & Fun
Job Locations
About Your Employer
StreamUnlimited Engineering GmbH
Wien
StreamUnlimited is the leading company when it comes to Audio Streaming software and electronics. Our solutions are used by renowned Audio Brands, as well as manufacturers of Smart Home products. We develop cutting-edge technology that allows you to experience your music like never before
Description
- Founding Year
- 2005
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication