Strategic Software Intern

Job ID 2022-2850
Software Engineering
Job Locations
Workplace Arrangement
Hybrid, On-site



Shure offers a challenging, fun and rewarding summer internship program. The twelve-week program is offered to undergraduate students that have completed at least 2 years of college, as well as 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 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 Shure Strategic Technology Team is looking for a Strategic Software Intern full-stack developer to help 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.


We are a diverse group of engineers, scientists, designers, and people with other backgrounds who invent and prototype useful, playful, and beautiful things. Our vision is to make life easier, more connected, more entertaining, more personal, and more productive. This is your opportunity to join our talented professionals as an intern to work on cutting-edge technologies and cool projects.

This Internship can be Remote or Hybrid.


  • Research, prototype, and demonstrate forward-leaning use cases in next generation technologies such as in machine learning and artificial intelligence.
  • Target platforms range from next-generation device firmware, though Mac and PC applications, mobile apps, and cloud/IoT applications and services.


  • Master’s degree in computer science, statistics, mathematics, or related field with coursework or experience in data science.
  • Experience with full stack development with languages such as Python, Java, JavaScript, and C++.
  • Experience with embedded software development, Mac & PC application development, mobile apps, and cloud-based applications and services
  • Hands-on experience with machine learning and deep learning models and frameworks, and training deep learning models leveraging GPUs with tools such as Keras, TensorFLow, PyTorch, MXNet, Arm-NN, etc.
  • Experience with big data technologies and cloud-based services for data storage and processing.
  • Experience with embedded development is desired.
  • Creativity and curiosity for future technologies and a passion for realizing new capabilities.



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