[Hiring] Principal Audio DSP/ML Engineer @Bose Corporation

Role Description

We are seeking a Principal Audio DSP / Machine Learning Applied Scientist to invent, develop, and productize advanced audio technologies. In this role, you will combine signal processing, machine learning, and systems engineering to deliver high-quality audio solutions for real-world consumer devices. You will work across the full pipeline—from algorithm research and deployment to optimized, real-time deployment on production hardware.

Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose!

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 primarily modern ML/deep learning approaches augmented by classical DSP techniques to audio and time-series data.
• Investigate new modeling approaches and translate research ideas into practical, scalable solutions that will be experienced by millions of consumers.

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.

Requirements

• MS or PhD in a relevant technical field.
• Deep practical knowledge of applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite.
• Audio DSP (sampling, filtering, FFTs, spectral analysis) using tools such as Python, Matlab and/or C/C++.
• Experience with speech or audio ML tasks, such as:
• Audio source separation / speech enhancement
• Echo reduction
• Microphone array signal processing
• Strong software engineering practices (debugging, profiling, version control).
• Proficiency in C and/or C++ for performance-critical systems.
• Publications, patents, or demonstrated innovation in DSP or ML.

Benefits

• Competitive base pay tailored to skills, experience, education, and location.
• Hiring range for this position in Remote, California: $216,000-$297,000.
• Bonus programs.
• Comprehensive health and welfare benefits.
• 401(k) plan.
• Exclusive perks designed to support your wellbeing.
• Generous employee discount on products and experiences.