Summer Internship 2026 (SRB) - Computer Vision

Overview:

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.

Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally.

Come make an impact every day at Zebra.

What We're Looking For:

Computer Vision InternAbout the Role

Are you passionate about bridging the gap between theoretical computer vision and real-world industrial applications? Zebra Technologies is looking for a driven Computer Vision & AI Intern to join our Advanced Data Capture team for a 3-month part-time internship.

In this role, you will work closely with our expert team of Algorithm Researchers and Software Engineers to develop, optimize, and test next-generation algorithms for 2D barcode detection and decoding. You will gain hands-on experience navigating the complexities of industrial image processing—from classical computer vision techniques to cutting-edge deep learning models—all while writing robust implementation code in Python and C/C++.

Key Responsibilities

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Algorithm Development: Assist in researching, designing, and testing algorithms for robust barcode detection and decoding in challenging conditions (e.g., blur, low illumination, complex backgrounds).

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Hybrid Approaches: Work on both Classical Computer Vision (feature extraction, grid building, signal analysis) and Deep Learning-based methods for image classification and localization.

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Pipeline Optimization: Contribute to the end-to-end 2D barcode decoding pipeline, writing efficient and maintainable implementation code in Python and C/C++.

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Data Experimentation: Help evaluate model performance and potentially assist with synthetic data generation pipelines to improve algorithm robustness against realistic degradations (like ink spread or curvature).

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Collaboration: Participate in technical reviews and collaborate directly with senior algorithm researchers and software engineers.

Minimum Qualifications

• Currently pursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, or a highly related field.

• Strong theoretical understanding of image processing and Computer Vision fundamentals.

• Hands-on proficiency in Python and C/C++.

• Familiarity with at least one major deep learning framework (e.g., PyTorch, TensorFlow).

• Excellent problem-solving skills and the ability to dedicate 20 hours per week for the 3-month duration.

Preferred Qualifications

• Prior academic or project experience related to Direct Part Marking (DPM) or barcode scanning technologies.

• Understanding of optimization techniques for deploying CV algorithms in C/C++.

• A strong portfolio or GitHub repository showcasing relevant computer vision projects.

Job Posting Statement:

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

AI Technology Statement:

Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.

Originally posted on Himalayas