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Digital Audio Signal Processing Jobs (NOW HIRING)

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Digital Signal Processing Intern

Niles, IL · On-site

Port complete audio-flow projects from embedded applications to offline simulations * Explore audio ... Digital Signal Processing * Machine Learning Algorithms * C/C++ Programming * Audio Signal ...

Shure

Digital Signal Processing Intern

Niles, IL · On-site +1

$23 - $43/hr

Deliver digital signal processing and Machine Learning features into a variety of intelligent ... Port entire audio flow projects from embedded application to offline simulations * Explore audio ...

Shure

Digital Signal Processing Intern

Niles, IL · On-site +1

$23 - $43/hr

Deliver digital signal processing and Machine Learning features into a variety of intelligent ... Port entire audio flow projects from embedded application to offline simulations * Explore audio ...

Shure

Digital Signal Processing Intern

Niles, IL · On-site

$23 - $43/hr

Deliver digital signal processing and Machine Learning features into a variety of intelligent ... Port entire audio flow projects from embedded application to offline simulations * Explore audio ...

New York Racing Association

$32.69 - $44.14/hr

Experience operating digital audio consoles or digital signal processing systems. * Understanding of microphones, loudspeakers, amplifiers, mixers, and balanced audio systems. * Ability to diagnose ...

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How much do digital audio signal processing jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for digital audio signal processing in the United States is $25.59, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $31.01 per hour, depending on experience, location, and employer.

What is digital audio signal processing?

Digital audio signal processing (DSP) refers to the use of digital techniques and algorithms to manipulate audio signals. This field encompasses tasks like filtering, equalization, compression, noise reduction, and effects such as reverb or echo, all performed in the digital domain using computers or specialized hardware. DSP is used in a wide range of applications, including music production, telecommunications, hearing aids, and speech recognition. Specialists in this area often have backgrounds in computer science, electrical engineering, or audio engineering. The work combines mathematical theory with practical implementation to improve or transform audio signals.

What are the key skills and qualifications needed to thrive as a digital audio signal processing engineer?

To thrive as a Digital Audio Signal Processing Engineer, a solid background in digital signal processing, mathematics, and audio engineering—typically supported by a degree in electrical engineering, computer science, or a related field—is essential. Familiarity with DSP programming languages (such as MATLAB, C++, or Python), audio frameworks, and specialized tools like VST or JUCE is often required. Strong problem-solving abilities, creativity, and effective communication skills help professionals innovate and collaborate within multidisciplinary teams. These competencies are vital for designing high-quality audio algorithms and ensuring seamless integration into audio products and technologies.

What are some common challenges faced by professionals in digital audio signal processing, and how can they be addressed?

Professionals in Digital Audio Signal Processing often encounter challenges such as managing latency, minimizing noise and distortion, and optimizing algorithms for real-time performance. Staying updated with the latest DSP libraries and hardware advancements is crucial to address these issues effectively. Collaboration with software developers, hardware engineers, and sound designers is also important to ensure that solutions meet both technical and creative needs. Regularly participating in interdisciplinary meetings and workshops can help in overcoming communication barriers and fostering innovation.

What is the difference between Digital Audio Signal Processing vs Audio Engineer?

AspectDigital Audio Signal ProcessingAudio Engineer
CredentialsTypically requires degrees in electrical engineering, computer science, or related fields; certifications in audio technologyOften holds degrees or certifications in audio engineering, sound design, or music production
Work EnvironmentPrimarily in labs, research facilities, or software development settingsRecording studios, live venues, broadcasting stations
Industry UsageUsed in developing audio algorithms, software, and hardware for sound processingApplied in recording, mixing, live sound, and broadcast production

Digital Audio Signal Processing focuses on creating algorithms and software to manipulate sound digitally, often working behind the scenes in tech development. In contrast, an Audio Engineer applies these techniques practically in recording and live environments. Both roles require a strong understanding of audio technology but serve different functions within the industry.

Does digital audio signal processing pay well?

Digital audio signal processing professionals typically earn competitive salaries, especially with specialized skills in audio engineering, programming, and signal analysis. Salaries vary by experience, location, and industry, but roles in this field often offer above-average compensation compared to other engineering disciplines.

Is digital audio signal processing a good career?

Digital audio signal processing is a specialized field within audio engineering and electrical engineering that involves developing algorithms and systems for audio analysis, enhancement, and synthesis. It offers opportunities in industries such as music production, broadcasting, and consumer electronics, often requiring knowledge of programming, digital signal processing (DSP), and relevant software tools. Job prospects depend on industry demand, technical skills, and educational background, with roles typically requiring a bachelor's or master's degree in a related field.
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Digital Audio Signal Processing jobs near you
Infographic showing various Digital Audio Signal Processing job openings in the United States as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $53,229 per year, or $25.6 per hour.

Digital Signal Processing Intern

Niles, IL • On-site

Jobtailor
See more jobs at Jobtailorexternal

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Posted 4 days ago

Job description

  • Assist with development and optimization of traditional and machine learning signal processing algorithms
  • Work closely with a mentor and teammates on advanced development projects supporting future DSP-based audio features and processing for conferencing products such as the MXA line
  • Deliver digital signal processing and machine learning features into intelligent products to provide a best-in-class audio experience
  • Optimize existing C/C++ code for CPU architectures including CUDA, ARM NEON SIMD, and TI C7x DSP to meet MIPS, memory, latency, and fidelity constraints
  • Port complete audio-flow projects from embedded applications to offline simulations
  • Explore audio encoding and inter-device network communication schemes
  • Participate in foundational coding framework development
  • Work with a technical mentor to estimate, organize, and plan work tasks
  • Present personal contributions to product stakeholders and executive management
Requirements
  • Completed at least three years of coursework in Electrical or Computer Engineering, Computer Science, Software Engineering, data science, AI/ML, or an audio-related major with an emphasis in Digital Signal Processing
  • Experience with Matlab or Python required
  • Experience with C, C++, or Assembly language programming
  • Experience with hardware acceleration-specific instruction sets; any of Cuda, C7x, or NEON SIMD
  • Experience designing audio signal processing software or hardware, including machine-learned algorithms; embedded implementations preferred, but scripting languages such as Matlab or Python also accepted
  • Experience with software development tools such as integrated development environments, compilers/linkers, and debugging tools including emulators and profilers
  • Applicants must be currently authorized to work in the United States on a full-time basis
  • Shure will not sponsor applicants for work visas
  • Graduate students, or undergraduates with at least one year of DSP coursework, are considered a plus
  • Understanding of embedded platform development is a plus
  • Project work with AI/ML algorithms is a plus
  • Knowledge of psychoacoustics is a plus
  • Experience with A/V conferencing products and features is a plus
  • Algorithm research via survey of technical literature is a plus
  • Experience with microphone arrays is a plus
  • Knowledge of HRTFs and other binaural audio recording/rendering concepts is a plus
  • Knowledge of 3-D Audio, Immersive Audio, or Augmented Reality is a plus
  • Experience with test and measurement equipment including audio analyzers and oscilloscopes is a plus
Core Competencies

Demonstrates expertise in Digital Signal Processing and Machine Learning, with proficiency in C/C++ programming and experience in audio signal processing software development. Capable of optimizing algorithms for various CPU architectures and collaborating effectively on advanced development projects.

Highest-signal resume keywords
  • Digital Signal Processing
  • Machine Learning Algorithms
  • C/C++ Programming
  • Audio Signal Processing
  • CUDA/NEON SIMD
Hard Skills
  • Digital Signal Processing
  • Machine Learning
  • C Programming
  • C++ Programming
  • Assembly Language
  • Audio Signal Processing Software
  • Embedded Systems Development
  • Algorithm Optimization
  • Audio Encoding
  • Inter-Device Network Communication
Soft Skills
  • Collaboration
  • Presentation Skills
  • Organizational Skills
Industry Keywords
  • Audio Conferencing Products
  • Psychoacoustics
  • Microphone Arrays
  • HRTFs
  • 3-D Audio
  • Immersive Audio
  • Augmented Reality
Tools & Technologies
  • Matlab
  • Python
  • Integrated Development Environments
  • Compilers
  • Debugging Tools
  • Audio Analyzers
  • Oscilloscopes
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