Software Engineer II

Shure Incorporated

Engineer II, Software at Shure shaping intelligent audio, video, and collaboration solutions. Collaborating on AI/ML technologies for real-world products used globally.

Posted 7/13/2026full-timeNiles • Illinois • 🇺🇸 United StatesJuniorMid-Level💰 $90,600 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in C++ and proficiency in additional programming languages such as Python or Java, with a strong foundation in software development principles and embedded software development. Capable of collaborating with cross-functional teams to design and implement innovative AI/ML solutions while adhering to coding best practices.

Highest-signal resume keywords

C++ ProficiencyEmbedded Software DevelopmentAI/ML ImplementationSignal Processing KnowledgeSoftware Development Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C++PythonRustJavaEmbedded Software DevelopmentReal-Time Application DevelopmentObject-Oriented DesignMachine LearningSignal ProcessingMulti-Threading

Soft Skills

CollaborationMentoringProblem SolvingCommunicationInnovation

Tools & Technologies

Embedded LinuxAOSPGPU ProgrammingCloud-Based ApplicationsMac Application DevelopmentPC Application DevelopmentMobile Apps

Industry Keywords

AI/MLReal-Time Video ApplicationsComputer VisionSoftware Design PatternsCoding Best Practices

Tech Stack

Tools & technologies

CloudJavaLinuxPythonRust

About the role

Key responsibilities & impact

Collaborate: work as part of a cross-functional team to create, design & implement cutting edge features and products
Ideate: brainstorm with research scientists and other stakeholders to identify use cases of value to Shure customers empowered by AI/ML and opportunities to optimize and platform solutions.
Conduct Research: survey literature and conduct original research and experiments to optimize implementation strategies and characteristics, solve problems, share findings and prototypes with colleagues, senior staff, and executives
Identify Software Requirements: in collaboration with AI/ML research scientists, other software engineers, and product managers. Identify and document architectural options and opportunities for platforming and reuse including working research scientists to standardize platformed solutions to frameworks and software deployments.
Implement Prototypes: software features in diverse areas from embedded (primary) to mobile apps, desktop, cloud, and database applications.
Suggest subject-matter-relevant features and other software opportunities to enhance research scientists' chances of success (e.g. DSP approaches).
Develop Product Software Features: Implement, optimize, and test software applications and functionalities for real-time, semi-latent, and offline applications.
Work with research scientists to identify and optimize input features, frame rates, model structures, and other characteristics that impact implementation characteristics.
Evaluate: Validate implemented AI/ML and other algorithm features: write software to automate measurement of AI and algorithmic features against defined metrics
Lead: Mentor, coach, and monitor the work of less experienced engineers.
Follow Coding Best Practices: Participate in code reviews and provide constructive feedback to peers.
Stay Current in Field: track progress in software methodologies, tools, and best practices
Participate in Working Groups: to promote collaborative problem solving in specific areas, sometimes tangential to your expertise
Design and Document Software Approach: in collaboration with team (or on own in independent projects) documented in collaborative systems
Invent: contribute to intellectual property, participate in brainstorming, and encourage general innovation in the group

Requirements

What you’ll need

Bachelor’s degree in computer science, computer engineering or related field; with minimum 2 years of related experience OR Master’s degree
Proficiency in C++
Proficiency in one or more other high level programing languages such as Python, Rust, Java, etc
Proficiency in software development principles, design patterns, and object-oriented design methodology, multi-thread real-time application.
Experience with embedded software development, Mac & PC application development, mobile apps, or cloud-based applications and services.
Working knowledge of signal processing, computer vision, and machine learning
Experience with any of the following highly desirable: Real time video applications: processing, encoding, transmission, etc; Embedded Linux or AOSP development; GPU programming; Hardware deep learning accelerators.
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.

Benefits

Comp & perks

comprehensive healthcare
mental health and retirement savings plans
generous paid time off programs
employee discounts
professional development opportunities
work-life balance initiatives
employee recognition programs
volunteering/community involvement opportunities