Bose
Embedded Audio ML Engineer Co-op
US, MA - Framingham · Intern · Internship
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odds of building a lasting career here
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($40,000) is below the Level I prevailing wage of $114,275. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- 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.
Responsibilities
- Build embedded software prototypes to demonstrate new ML-powered audio features on our wearables
Requirements
- Strong proficiency in C/C++ for embedded systems.
- Proficiency in Python for model conversion, evaluation, or tooling workflows.
- Proven cross-group and cross-culture collaboration skills
- Creative problem-solver with demonstrated ability to work independently
Nice to have
- Prior internship or work experience as a Software/ML engineer
- Experience deploying ML models on edge or resource‑constrained devices (MCU/DSP/NPU).
- At Bose, you're inspired to be and do your best and are rewarded for your unique talents!
- As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere.
- Join us and make your next career move a mic-drop.
- Let's Make Waves.
Compensation
- Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary.
Benefits
- Design, implement, deploy and optimize deep learning models, data structure and algorithms on resource-constrained devices.
- Research, design and implement novel methods for efficient deep learning (e.g., quantization, pruning, NAS, knowledge distillation) with a focus on audio-related problems.
- Train and evaluate deep learning models to enable new experiences on our headphones, earbuds, soundbars, portable speakers and other consumer audio devices.
Company info
- 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.
This listing is sourced directly from Bose's careers page and normalized into a canonical job model.