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Engineer Associate Staff, Digital Signal Processing

Shure

📍 Niles, Illinois, United States, UN0💼 Full-time🕐 6/11/2026
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Role overview

Shure is hiring for the Engineer Associate Staff, Digital Signal Processing role in Niles, Illinois, United States, UN. It is full-time, Lead level, in the Tech sector. It was posted 6/11/2026.

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Role
Engineer Associate Staff, Digital Signal Processing
Company
Shure
Location
Niles, Illinois, United States, UN
Work mode
On-site
Employment
Full-time
Seniority
Lead
Sector
Tech
Posted
6/11/2026

Description

Deliver the Gold Standard in Sound: Lead Advanced DSP Innovation at Shure As an Associate Staff Engineer, Digital Signal Processing, you will help define and deliver the advanced audio technologies that power Shure’s industry-leading products. You’ll lead the design and optimization of real-time DSP and machine learning solutions for microphone arrays and integrated systems - driving performance, reliability, and innovation. Working cross-functionally with software, research, data, and test teams, you’ll turn complex challenges into high-quality audio experiences while mentoring engineers and shaping technical direction. If you’re passionate about precision, performance, and pushing the boundaries of sound, you’ll thrive here. This position will be hybrid based out of our Niles, IL HQ! Responsibilities Lead the architecture, design, development, optimization, and validation of real-time DSP 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 DSP , audio performance, embedded implementation, or system integration. Mentor and provide technical guidance to junior engineers, fostering their professional growth and maintaining a culture of knowledge sharing and innovation, including delivering constructive feedback through design reviews, code reviews, and technical discussions. Excellent problem-solving skills, with the ability to work independently and in a team environment, providing technical leadership and guidance to other team members. Work as part of a cross-functional team including embedded software, hardware, acoustics, systems, test, product management, and user experience teams to ensure the successful deployment of audio signal processing solutions. Utilize advanced DSP approaches and leverage ML/AI approaches to address challenges such as processing real-time, low latency data pipelines and right-sizing solutions Implement and integrate solutions into complex signal processing chains C ollaborate with colleagues, other 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 DSP and ML/AI integration into the product design against identified metrics and fine-tune to optimize outcomes . Conduct subjective listening tests to balance results with objective results. Conduct thorough testing and validation of signal processing algorithms and systems, ensuring performance and functionality under various conditions. Strong written and verbal communication skills, including the ability to explain complex technical topics to both technical and non-technical audiences. Adapts message to intend ed audience Brainstorm with colleagues, stakeholders, and other engineers to identify valuable use cases for Shure customers empowered by DSP and AI/ML , and combinations thereof . O ptimize and platform solutions . Contribute to intellectual property, participate in brainstorming, and encourage innovation in the group Adopt and promote mature software engineering practices ( e.g. code repositories, shared deployment frameworks, experiment tracking) . Create and maintain high-quality technical documentation covering system and algorithm design, implementation, and testing. Track and employ advancements in DSP, audio processing, embedded systems, and machine learning, and recommend technologies that can improve current or future products. Qualifications Bachelor’s degree in Electrical Engineering , Computer Engineering, or a related field; with minimum of 8 years of professional experience . 6 years experience with Masters’s Degree 3 years experience with PhD Extensive knowledge and hands-on experience in advanced DSP theory, with a proven track record of 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 tools such as Python or MATLAB. Experience deploying DSP algorithms on embedded platforms. Strong understanding of real-time embedded system constraints, including audio latency, memory usage, CPU utilization , and meeting real-time processing deadlines. Preferred Experience Professional experience in digital signal processing with a focus on audio/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 multi-threaded, real-time audio applications on embedded Linux (multi-core ARM), including debugging timing, synchronization, and CPU 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 (e.g., I2S, TDM, USB, Ethernet, ALSA) and network audio protocols (e.g., Dante, AES67). Experience in audio system validation, including use of measurement equipment, analysis tools, and both objective and subjective evaluation techniques. Knowledge or experience with implementation, integration, or creation of machine learning / Artificial Intelligence algorithms Proficiency in developing low latency, embedded-friendly solutions Experience in Audio engineering, DAWs, recording, or other audio production. Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas. Who We Are Shure’s mission is to be the most trusted audio brand worldwide – and for over a century, our Core Values have aligned us to be just that. Founded in 1925, we are a leading global manufacturer of audio equipment known for quality, reliability, and durability. We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And quality doesn’t stop at our products. Our talented teams strive for perfection and innovate every chance they get. We offer an Associate-first culture, flexible work arrangements, and opportunity for all. Shure is headquartered in United States. We have more than 35 regional sales offices, engineering hubs, distribution centers and manufacturing facilities throughout the Americas, EMEA, and Asia. Join Shure and Amplify Your Impact. Explore our unique culture and learn the key pillars that define our legacy of excellence. THE MIX MATTERS Don’t check off every box in the job requirements? No problem! We recognize that every professional journey is unique and are committed to providing an equitable candidate experience for all prospective Shure Associates. If you’re excited about this role, believe you’ve got the skills to be successful, and share our passion for creating an inclusive, diverse, equitable, and accessible work environment, then apply! PAY TRANSPARENCY Shure offers a competitive compensation structure that is reviewed annually to attract, hire, and r etain the industry’s top talent. Base salaries vary based on qualifications, geography, experience, and expertise in each respective discipline. The range displayed on each job posting reflects the minimum and maximum base salary for the opportunity. The base salary for this position ranges from $129,700 to $207,600. This position may also be eligible for our incentive pay program, which varies ba

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