Software Engineering Intern

Shure Incorporated•Niles, IL

4d•Hybrid

About The Position

SUMMER 2026 Shure offers a challenging, fun and rewarding summer internship program. The twelve-week program is offered to undergraduate and graduate students. We offer internships with a variety of work arrangements from onsite interns to fully remote in US. Each intern will receive a competitive salary. Additionally, Interns who are asked to relocate to Illinois for onsite internships will receive a housing stipend to cover living expenses. Applications will be collected, reviewed, and selected candidates will be contacted in late fall/early winter. The advanced research team seeks a highly motivated and talented Software Engineering Intern to assist in developing cutting-edge software solutions. This internship offers a unique opportunity for you to research, prototype, and demonstrate forward-leaning use cases in next generation technologies such as in machine learning and artificial intelligence - use cases that exceed customers' expectations by making products smarter, more performant, and more insightful. This Internship can be Remote, Onsite, or Hybrid.

Requirements

Currently pursuing an advanced degree in computer science, computer engineering, or a related field.
Must have experience in object-oriented programming in C++.
Experience with one or more other programming languages such as Java/Kotlin, Objective-C/Swift, Python, JavaScript, Rust, etc.
Familiarity with software development principles, design patterns, and object-oriented design methodology.
Basic understanding of signal processing, computer vision, or machine learning
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.

Nice To Haves

Experience with embedded software development, Mac & PC application development, mobile apps, or cloud-based applications and services.
Hands-on experience with one or more of the following is a plus: real-time digital signal processing embedded Linux development deep learning model deployment GPU or hardware accelerators.
Creativity and curiosity for future technologies and a passion for realizing new capabilities

Responsibilities

Collaborate with DSP engineers and data scientists to design and develop software applications and libraries to support ongoing research initiatives.
Assist in implementing, testing, and optimizing experimental software applications and prototypes.
Stay up to date with latest advancement in software, AI/ML, and emerging technologies to contribute fresh ideas and insights to the team.