Bose Corporation

Bose is hiring a Machine Learning Engineer to design, optimize, and deploy efficient ML models for next-generation audio products on resource-constrained edge devices. The role focuses on Edge ML, model compression, and cross-functional integration with embedded, DSP, hardware, compiler, and software teams.

Lead the architecture and production deployment of advanced audio DSP technology across Bose’s product platforms. This hands-on principal role combines deep signal-processing expertise, embedded C/C++ development, system-level technical leadership, and cross-functional mentoring.

Senior DSP Engineer role developing and optimizing audio signal-processing software for embedded platforms, from MATLAB/Simulink reference models through production deployment. The position combines hands-on DSP implementation, hardware optimization, testing, and integration across Bose audio products.

Lead the development of software platforms, frameworks, and tools that enable Bose teams to create, measure, and optimize next-generation audio products. This senior role bridges audio technology, DSP, embedded systems, and engineering productivity.

Join Bose’s Audio Machine Learning Research team to prototype and implement real-time AI-powered audio algorithms for physical devices. This full-time co-op offers opportunities to contribute to customer-shipped products, patents, and research publications.

Join Bose as an Embedded Audio ML Engineer Co-op and help deploy, optimize, and evaluate deep learning algorithms for resource-constrained audio devices. You’ll work on audio features for headphones, earbuds, soundbars, speakers, and wearables.

Bose is seeking an Audio Machine Learning Intern/Co-op to research, prototype, and evaluate machine learning algorithms for next-generation audio experiences. The role offers hands-on work spanning speech enhancement, spatial audio, hearing augmentation, and real-time ML applications.

Join Bose as an Embedded Software Engineer Co-op developing and testing firmware, embedded software, and engineering tools for innovative audio products. You’ll gain hands-on experience across design, debugging, validation, and deployment while collaborating with multidisciplinary engineering teams.