> Markdown version of [/jobs/ext/4689047-dsp-engineer-audio-tech](https://www.wearedevelopers.com/jobs/ext/4689047-dsp-engineer-audio-tech). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DSP Engineer - Audio Tech - **Company:** Bose - **Location:** Framingham, MA, United States - **Experience:** Experienced - **Salary:** $97,600 - $134,200 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Sound Recording and Reproduction, Bluetooth, Computer Engineering, Software Debugging, Noise Reduction, Python (Programming Language), MATLAB, Machine Learning, Systems Development Life Cycle, Signal Processing, Speech Recognition, Real Time Systems, Multiplatform - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/dsp-engineer-audio-tech-framingham-ma--4d65cf95-cc25-4c7c-80c9-4449d76ee170 ## About the Role Digital Signal Processing (DSP), Audio Engineering, Customer Relations, International Business, Scalable System Development, Algorithms, Use Cases, Digital Signal Processing (DSP), Multiplatform/Cross-Platform, Audio Engineering, Technical Skills * Solid foundation in digital signal processing, with experience in audio and/or speech processing. * Experience developing DSP algorithms for embedded or real-time systems. * Proficiency programming signal processing algorithms using C, Python, and Matlab; exposure to fixed-point or optimized implementations is a plus. * Familiarity with acoustics and acoustic measurements, including microphones and audio transducers. * Experience debugging embedded systems and working with audio lab equipment. * Ability to evaluate and integrate third-party algorithms and libraries. Desirable (Not Required) * Exposure to applied machine learning techniques for audio systems, such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and their constraints. * Interest in understanding how DSP algorithms scale across different platforms and partner implementations. Collaboration & Communication * Effective communication skills, with the ability to discuss technical topics with engineers from different disciplines. * A collaborative, self-directed working style suited to small, highly technical teams., * BS in Electrical Engineering, Computer Engineering, or a signal-processing-related field; MS preferred. * 3+ years of relevant industry experience in DSP, audio, or related embedded systems development. ## Description Success for the Audio Tech DSP team emphasizes algorithm robustness, portability, and partner enablement, while still offering deep technical ownership and exposure to real-world production systems. You will work closely with senior DSP engineers, platform teams, and external partners to deliver licensable audio technologies that meet demanding quality and performance requirements., DSP engineers in the Audio Technology Licensing group work in cross-disciplinary, highly collaborative teams to develop and deploy signal processing algorithms that improve audio experiences for our technology partners and their customers., * Design, implement, and test DSP algorithms to solve technical challenges for licensable audio technologies. * Contribute to delivering new customer and partner benefits using technologies such as active noise reduction, voice pickup, spatial audio, and speech enhancement. * Work with senior engineers to ensure algorithms are robust, portable, and scalable across multiple platforms and partner products. * Support the integration and validation of DSP algorithms on embedded, real-time systems. * Assist in adapting and tuning algorithms for different hardware, software, and system constraints encountered in a licensing environment. * Participate in technical evaluations of third-party technologies and contribute to make-vs-buy analyses when appropriate. * Collaborate with internal teams across engineering, systems, software and product management to support partner delivery and long-term platform goals.