About L-Acoustics 

We are the industry leaders in the design, manufacturing, and distribution of premium sound reinforcement technologies. Our mission is to shape the future of sound with technologies that enable audio professionals and artists to elevate the listener experience. 

About L-ISA  

L‑ISA technology enables artists to create and deliver immersive sound for live and recorded productions of any scale. This comprehensive ecosystem of audio tools provides a natural and vivid experience that heightens emotion and invites the listener inside the music. 

Role description 

As part of the Software & Creative Research team, you will be at the forefront of innovation in spatial audio. Your work will focus on researching and developing cutting-edge audio algorithms for the L-ISA platform, with a strong emphasis on real-world impact for content creators and live sound professionals. You will contribute to shaping the future of immersive audio through rigorous development, validation, and dissemination of your findings—whether through internal integration or external publication in leading venues such as AES, ASA, or IEEE. 

Responsibilities 

• Research and design spatial audio algorithms 

• Collaborate with product and research teams 

• Support algorithm testing and validation 

• Engage with stakeholders and academic partners 

Required 

• Minimum of 3 years’ experience in designing and implementing audio processing algorithms 

• Track record in researching and prototyping auralisation technologies (HRTF-based, Ambisonics) 

• Solid knowledge in loudspeaker rendering of spatial audio (Ambisonics decoders, VBAP, WFS) 

• Solid understanding of psychoacoustics 

• Proficiency in MATLAB 

• PhD or MSc in electrical engineering or signal processing 

• Excellent listening, communication, and documentation skills 

Preferred 

• Experience with machine learning or deep learning applied to audio 

• Demonstrated critical listening abilities 

• Room acoustics knowledge 

• Passion for audio 

• Proficiency in Cycling ’74 Max, Python, and DSP coding in C/C++