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DSP Software Engineer

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: TryApplyNow
Full Time position
Listed on 2026-07-10
Job specializations:
  • Software Development
    Python, Software Engineer, C++ Developer, Embedded Software Engineer
Salary/Wage Range or Industry Benchmark: 111000 - 150000 USD Yearly USD 111000.00 150000.00 YEAR
Job Description & How to Apply Below
# DSP Software Engineer Sonos, Inc.

Full Time junior Boston, Massachusetts, USPosted 11 days ago##

Role Overview Sonos, Inc. is hiring a entry-level DSP Software Engineer. This is a full-time role in Boston, Massachusetts. Part of Sonos, Inc.'s Embedded hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

Python

RustMATLABDocker Jenkins Linux CI/CD Pipeline

Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description

At Sonos we want to create the ultimate listening experience for our customers and know that it starts by listening to each other. As part of the Sonos team, you’ll collaborate with people of all styles, skill sets, and backgrounds to realize our vision while fostering a community where everyone feels included and empowered to do the best work of their lives.

JOB TITLE:

DSP Software Engineer (Job Code: MK0711)

JOB DETAILS :
Responsible for the real-time audio, DSP, and rendering software across Sonos products through expertise in signal processing, embedded systems, and software architecture and strong proficiency in Rust, C++, and Python. Define requirements, write design documents, ensure acceptance criteria, and maintain roadmaps in coordination with cross-functional partners. On the implementation side, design and build modular real-time audio and DSP components in Rust and C++, making calls on architecture, performance, and portability across processors and operating environments.

This includes integrating and optimizing machine learning models for audio workloads covering classification, enhancement and spatial processing on embedded platforms, as well as bringing in new multi-channel audio formats, codecs/decoders, and DSP algorithms. Design hard real-time software pipelines with patterns and interfaces that work across the product family, and work with Sonos-native mechanisms for system parameter control. Debug audio routing, timing, and synchronization problems across wireless networks, cross-domain issues touching DSP algorithms, embedded RTOS/Linux systems, wireless audio transport, and hardware.

Own the testing and validation practice by building DSP simulation environments and software test frameworks in Python across diverse architectures, define testing strategy using GTest and Rust frameworks, and improve CI practices. Collaborate closely with acoustics, networking, hardware, application software, and audio system engineers. Set engineering standards and mentor engineers on the team and in partner groups.

EDUCATION AND EXPERIENCE REQUIREMENTS:

Master’s degree (or foreign equivalent) in Electrical Engineering, Computer Engineering, Computer Science, or Acoustic Engineering plus 2 years of experience in the offered position or related position. SPECIAL REQUIREMENTS:
Must possess expertise/knowledge sufficient to adequately perform the duties of the job being offered. Expertise/knowledge may be gained through employment experience or education. Such expertise/knowledge cannot be "quantified" by "time". Required expertise/knowledge includes:
Understanding of digital signal processing concepts, including filtering, sampling, latency, and numeric representation.

Experience with Rust, C++, and Python for implementing DSP algorithms, automating audio tests, and validating software. Experience designing and validating real-time DSP audio systems for consumer electronics.

Experience with real-time systems, embedded Linux, and RTOS environments. Experience evaluating and optimizing embedded DSP algorithms using MATLAB and Simulink. Experience integrating and optimizing machine learning models for audio on embedded systems, including classification, enhancement, spatial processing, and ML/DSP hybrid techniques. Knowledge of industry audio formats, codecs/decoders, and metadata, including Dolby Atmos, AAC, FLAC, Opus, OGG, MP3, and WAV. Experience creating DSP visualization or modeling tools in C++ for real-time audio development.

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