Acoustic Hardware Engineer

Preferred qualifications:

• PhD in Audio Acoustics, Speech Signal Processing, Data Science, Electrical Engineering, or a related field.
• Experience in automating measurements using audio test equipment including Audio Precision, HeadAcoustics, Prism dScope, Rohde and Schwarz, as well as signal generators, SPL meters, and measurement transducers from Brüel & Kjær and GRAS.
• Knowledge of data strategies for developing various AI/ML models.
• Understanding of common audio issues in the recording industry and their root causes.
• Proficiency with software tools such as SoundCheck, CLIO, LabVIEW, Daqarta, and others.