DSP Engineer
DSP Engineer
- Art der Beschäftigung: Vollzeit
- 60.000 € – 68.000 € (Unternehmensangabe)
- Hybrid
- Zu den Ersten gehören
DSP Engineer
Über diesen Job
StreamUnlimited is a passionate team of 120 music lovers and tech geeks across Vienna (HQ), Bratislava, Boston, Shenzhen, and Osaka, on a mission to make the global home streaming experience downright awesome. For over 20 years, we have delivered what we promise because we genuinely care about our people and our work. Following our acquisition by Bose in 2026, we are now empowered to do even more of what we love.
We are looking for a hands-on DSP engineer to join our Audio Technology engineering team. 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.
DSP Engineer Role
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. This role provides strong opportunities for technical growth while maintaining clear ownership of deliverables.
Key Responsibilities
Skills & Qualifications
Desirable
Collaboration & Communication
Education & Experience
We are looking for a hands-on DSP engineer to join our Audio Technology engineering team. 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.
DSP Engineer Role
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. This role provides strong opportunities for technical growth while maintaining clear ownership of deliverables.
Key Responsibilities
- 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.
Skills & Qualifications
- Solid foundation in digital signal processing, with experience in audio and/or speech processing.
- Experience developing DSP algorithms for embedded or real-time systems.
- Proficiency 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.
- Experience debugging embedded systems and working with audio lab equipment.
- Ability to evaluate and integrate third-party algorithms and libraries.
Desirable
- Exposure to applied machine learning techniques for audio systems, such as ML-assisted noise reduction, speech enhancement, or audio classification.
- Familiarity with Bluetooth audio systems and their constraints.
- Interest in understanding how DSP algorithms scale across different platforms and partner implementations.
Collaboration & Communication
- 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.
Education & Experience
- BS in Electrical Engineering, Computer Engineering, or a signal-processing-related field; MS preferred.
- 4+ years of relevant industry experience in DSP, audio, or related embedded systems development.