Digital Signal Processing ML Software Development Co-op
About The Position
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. Job Description ABOUT THE CO-OP PROGRAM Bose Corporation is seeking students to participate in our Co-op Program who share our belief that sound is power. During the six-month co-op, students will have the chance to apply classroom learning in a hands-on work environment. Co-op participants will network across the business to gain diverse perspectives within Bose Corporation. Additionally, co-ops will connect with other students and colleagues, building valuable professional relationships for the future. Fall Co-op: Candidates must be available to work full-time (40 hours per week) in a hybrid, in-office format from July 13 through December 18, 2026. No relocation assistance is available. Being currently authorized to work in the U.S. is a precondition of employment for this position. THE ROLE We're looking for a Digital Signal Processing Machine Learning Software Development Co-Op to join the Premium Consumer Engineering team. In this role…
Requirements
- Pursuing a software engineering degree with a focus on DSP and/or Machine Learning for audio processing
- Fluency in Python and Matlab required
- Understanding of fixed point DSP SW preferred
- Familiarity with Qualcomm QCC518x/309x a plus
- Strong communication and collaboration skills
Responsibilities
- Contribute to the collection of data used to develop new ML-based features
- Develop ML-based features for Bose products
- Support the design and automation of a system validating the impact of toolchain updates on the performance of ML-based processing models
Benefits
- Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
