Senior Audio DSP & ML Engineer — Real-Time Sound Solutions

Bose Corporation, U.S.A; California (MO); Hybrid; USD 216,000 - 297,000; Full time

Job summary

Bose Corporation seeks a Principal Audio DSP/ML Engineer to invent, develop, and productize advanced audio technologies for consumer devices. You will combine signal processing, ML, and systems engineering from research to real‑time deployment on production hardware.

You will work across the full pipeline, shaping algorithms for speech and audio, and translating research into scalable, consumer‑facing solutions. The role emphasizes collaboration, innovation, and impact.

Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field.
• Hands-on experience with machine learning applied to audio or time-series data.
• Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis).
• Experience with Python and/or MATLAB for research and prototyping.
• Solid understanding of audio systems and acoustics.
• Strong communication skills.

Responsibilities

• Design and develop audio signal processing and machine learning algorithms for speech and audio applications such as noise suppression, echo cancellation, beamforming, spatial audio, and audio enhancement.
• Apply modern ML/deep learning approaches augmented by classical DSP techniques to audio and time-series data.
• Translate research ideas into practical, scalable solutions experienced by millions of consumers.

Skills

strong communication

ML for audio

DSP fundamentals

Education

Bachelor’s degree in Electrical/Computer Engineering, CS or Applied Mathematics

Tools

Python

MATLAB

C/C++

Job description

Bose Corporation seeks a Principal Audio DSP/ML Engineer to invent, develop, and productize advanced audio technologies for consumer devices. You will combine signal processing, ML, and systems engineering from research to real‑time deployment on production hardware.

You will work across the full pipeline, shaping algorithms for speech and audio, and translating research into scalable, consumer‑facing solutions. The role emphasizes collaboration, innovation, and impact.