Software Engineering Intern
Shure
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Machine learningC++PythonJavaJavaScriptC
- Work
- On-site in Niles · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python64%Java52%C++36%Machine learning13%of 149 similar entry-level jobs posted in the US this week
- Listed
- Nov 6, 2026 · still open
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About the Role
Shure seeks a highly motivated and talented Software Engineer Intern to assist in developing cutting-edge software solutions within the advanced research team. This twelve-week internship offers an opportunity to research, prototype, and demonstrate forward-leaning use cases in next-generation technologies like machine learning and artificial intelligence. The role is Hybrid, based in Niles, IL.
Key Responsibilities
- Collaborate with other software engineers and applied research scientists to design and develop software applications and libraries for research initiatives.
- Assist in implementing, testing, and optimizing experimental software applications and prototypes.
- Stay up-to-date with the latest advancements in software, AI/ML, and emerging technologies.
Requirements & Tech Stack
- 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.
- Familiarity with software development principles, design patterns, and object-oriented design methodology.
- Basic understanding of signal processing, computer vision, and machine learning.
- Experience with embedded software development, Mac & PC application development, mobile apps, or cloud-based applications and services.
Qualifications
- Currently pursuing an advanced degree in computer science, computer engineering, or a related field.
- Creativity and curiosity for future technologies and a passion for realizing new capabilities.
- Applicants must be currently authorized to work in the United States on a full-time basis.
Plus Skills
- Hands-on experience with one or more of the following:
- real-time digital signal processing
- embedded Linux development
- deep learning model deployment
- GPU or hardware accelerators.