Signal Processing Researcher - Acoustics

Omnisent is pioneering scalable acoustic sensing powered by AI — transforming audio into real-time intelligence.

We build hardware software tailored for acoustic data, designed to extract insights from complex acoustic signals. Our proprietary ultra-low-power sonic devices capture and process acoustic signals in real-time, training what we call a Large Acoustic Model (LAM) — our foundation model built to decode the rich, messy, and untapped world of non-speech audio.

We’re starting with the manufacturing industry, applying our tech to compressed air systems — one of the most overlooked sources of energy waste. From there, we’re expanding into energy, defense, space, and smart cities — sectors where is the next frontier.

Edge Computing, Data Acquisition & Environmental Characterization

• Develop and refine advanced acoustic pre-processing algorithms for real-time edge computing and efficient data transmission.


• Analyze acoustic responses and noise from parasitic sources to develop tests to validate performance in diverse conditions.


• Work with mechatronics, IoT, and embedded systems teams to integrate low-noise, high-frequency data acquisition systems for precise signal conditioning.


• Interface multiple sensor arrays (e.g., microphone arrays) with embedded systems to enable real-time processing and sophisticated analysis of acoustic signatures—supporting environmental sensing, sensor localization, leak detection, and quantification of physical parameters.

Advanced Signal Processing, Localization & Insight Extraction

• Implement and optimize advanced noise reduction, filtering, and quantization techniques to enhance signal clarity.


• Extract statistical features from acoustic data, detecting and characterizing anomalies such as air leaks and sensor (mis)placements.


• Design sound localization algorithms capable of accurate operation in complex, noisy industrial environments, enabling precise sensor positioning and environmental characterization (such as using radar principles and time synchronisation methods).

Testing & Documentation

• Develop and lead test procedures using advanced tools (e.g., MATLAB, waveform analyzers) to validate operation and troubleshoot integration challenges.

Cross-Functional Collaboration & Continuous Improvement

• Collaborate with electronics, AI, and acoustics engineers to refine algorithms and adapt to evolving requirements.


• Establish best practices and documentation for continuous knowledge sharing and process optimization.


• Work with research institutions and external pilots to validate findings and translate research into practical solutions.

Basic Qualifications:

• Master's degree in Electrical/Electronic Engineering, Acoustics, Signal Processing, Mathematics, Physics or a related field or 2 years of relevant industry experience


• 2 years in signal processing research, algorithm development, or related roles with a focus on acoustic applications.


• Solid foundation of the underlying mathematics of Acoustics and digital signal processing (e.g. sampling, digital signal processing, filtering, Fourier transform, noise reduction)


• Solid experience with digital signal processing (DSP) techniques and data acquisition systems, including hands-on use of tools such as MATLAB, Python, or similar platforms.


• Proactive & structured problem-solver with strong technical skills & ability to work both independently and in a team


• Fluency in English


• Valid EU work permit

Preferred Qualifications:

• PhD in a relevant technical discipline (e.g., Signal Processing, Audio Engineering, Acoustics, Electronic/electrical engineering, or a related field)


• 4 years of experience with acoustic signal processing and algorithm development, particularly within industrial or IoT applications or in regards to acoustic signature analysis and real-time acoustic pattern recognition


• German language skills

Join us in redefining how the world listens, understands, and responds through intelligent acoustic sensing.

In your cover letter, we’d love to hear about your personal interests, what drives you, why this role feels like the right fit — and most importantly, why Omnisent.