Principal Audio DSPML Engineer- Audio Technology

At Bose Corporation we believe sound is the most powerful force on earth and for over 60 years we have been a company built on innovation excellence and independence. Privately owned fiercely customer-focused and driven by our values we continue to lead industries and transform lives through sound.

Today Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions we are shaping the future of audio technology automotive luxury and premium experiences. We invite you to join us in this transformation.

Principal Audio DSP/ML Engineer - Audio Technology

We are seeking a PrincipalAudio DSP / Machine Learning Applied Scientistto invent develop and productize advanced audio this role you will combinesignal processing machine learning and systems engineeringto deliver high-quality audio solutions for real-world consumer devices. You will work across the full pipelinefrom 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 developaudio signal processing and machine learning algorithmsfor 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 techniquesto 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:

• Bachelors degree inElectrical Engineering Computer Engineering Computer Science Applied Mathematics or related field.
• Hands-on experience withmachine learning applied to audio or time-series data.
• Strong fundamentals in digital signal processing(sampling filtering FFTs spectral analysis).
• Experience withPython and/or MATLABfor research and prototyping.
• Solid understanding ofaudio systems and acoustics.
• Strong communication skills.

Preferred Qualifications:

• MS or PhDin 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 withspeech 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 inC and/or Cfor performance-critical systems.
• Publications patents or demonstrated innovation in DSP or ML.

What success looks like:

• You deliverrobust high-quality audio algorithmsthat work reliably in real-world conditions.
• You balanceaudio quality ML performance and system constraintseffectively.
• You influence product direction through technical insight and data-driven decisions.
• Your work ships as both licensed audio technology at scale.

At Bose youre inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills experience education and location and goes beyond base salary. The hiring range for this position in the primary work location of Remote California is: $216000-$ hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs comprehensive health and welfare benefits a 401(k) plan plus exclusive perks designed to support your wellbeing and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent companydriven by purpose guided by our values and united by a belief in the power of sound. As the world leader in audio experiences were creating whats nextpushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Lets Make Waves.