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Shure

Audio products and microphone systems

Engineer Associate Staff - Digital Signal Processing

Embedded EngineeringConfirmed live in the last 24 hours
Full-timeNiles, IL, USA

About the Job

Requirements

  • A Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field, with 8 years of professional experience; alternatively, 6 years of experience with a Master's degree or 3 years of experience with a PhD.
  • Extensive knowledge and hands-on experience in advanced digital signal processing theory, including designing, implementing, testing, and optimizing real-time audio signal processing algorithms.
  • Strong C++ programming skills, including object-oriented design and experience writing scalable, maintainable, and well-structured code.
  • Experience prototyping algorithms using Python or MATLAB.
  • Experience deploying digital signal processing algorithms on embedded platforms.
  • Strong understanding of real-time embedded system constraints, including audio latency, memory usage, central processing unit utilization, and meeting real-time processing deadlines.
  • Applicants must be currently authorized to work in the United States on a full-time basis.

Responsibilities

  • Lead the architecture, design, development, optimization, and validation of real-time digital signal processing and machine learning solutions for microphone array products.
  • Lead project planning activities, including defining scope, estimating effort, identifying resource needs, and driving execution to meet key project milestones.
  • Lead troubleshooting, root-cause analysis, and resolution of complex product issues related to digital signal processing, audio performance, embedded implementation, or system integration.
  • Mentor and provide technical guidance to junior engineers, including delivering constructive feedback through design reviews, code reviews, and technical discussions.
  • Work as part of a cross-functional team including embedded software, hardware, acoustics, systems, test, product management, and user experience teams to deploy audio signal processing solutions.
  • Use advanced digital signal processing approaches and machine learning or artificial intelligence approaches to address real-time, low-latency data-processing challenges and right-size solutions.
  • Implement and integrate solutions into complex signal-processing chains.
  • Collaborate with colleagues, engineers, and product managers to identify and document performance metrics and architectural options.
  • Translate product requirements, customer needs, and system constraints into robust designs and implementation strategies.
  • Measure outcomes of digital signal processing and machine learning or artificial intelligence integration against identified metrics and fine-tune solutions to optimize outcomes.
  • Conduct subjective listening tests to balance subjective results with objective results.
  • Conduct thorough testing and validation of signal-processing algorithms and systems under various conditions.
  • Brainstorm with colleagues, stakeholders, and engineers to identify customer use cases enabled by digital signal processing and artificial intelligence or machine learning.
  • Optimize and platform solutions.
  • Contribute to intellectual property and participate in brainstorming activities.
  • Adopt and promote software engineering practices such as code repositories, shared deployment frameworks, and experiment tracking.
  • Create and maintain technical documentation covering system and algorithm design, implementation, and testing.
  • Track and employ advancements in digital signal processing, audio processing, embedded systems, and machine learning, and recommend technologies for current or future products.

Desired Qualifications

  • Professional experience in digital signal processing focused on audio or speech applications.
  • Experience with microphone arrays, beamforming, acoustic echo cancellation, dereverberation, noise suppression, automatic gain control, and speech enhancement.
  • Experience with audio processing for conferencing applications.
  • Experience developing and optimizing multithreaded, real-time audio applications on embedded Linux and multicore ARM, including debugging timing, synchronization, and central processing unit performance issues.
  • Experience integrating and deploying machine learning models for real-time audio processing on embedded platforms.
  • Experience with version control systems, issue tracking systems, continuous integration, and agile development practices.
  • Experience with audio interfaces and frameworks such as I2S, TDM, USB, Ethernet, and ALSA, and network audio protocols such as Dante and AES67.
  • Experience in audio system validation, including measurement equipment, analysis tools, and objective and subjective evaluation techniques.
  • Knowledge or experience implementing, integrating, or creating machine learning or artificial intelligence algorithms.
  • Proficiency in developing low-latency, embedded-friendly solutions.
  • Experience in audio engineering, digital audio workstations, recording, or other audio production.

About the Company

Shure

Audio products and microphone systems

Shure designs, manufactures, and supports professional audio equipment for global use. Its product lineup includes wired and wireless microphones, networked audio systems, signal processors, conferencing and discussion systems, and earphones and headphones. The company applies expertise in acoustics, wireless technology, and digital signal processing to create devices that capture and reproduce sound with clarity and reliability, and to enable seamless audio workflows across live sound, studios, and corporate environments. What sets Shure apart is its century-long track record of delivering durable, high-quality audio gear, a broad ecosystem of complementary products, and strong support for professional users. The company aims to provide transparent, natural-sounding audio experiences across diverse settings, from performances and broadcasts to conferences and everyday listening.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Niles, IL
Founded
1925

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