Computer Vision Developer-1

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:

Contribute directly to the development, integration, and optimization of computer vision (CV) and edge AI solutions within Zebra’s AI offerings and AI Data Capture SDK platforms. In this role, you will work alongside experienced algorithm researchers and senior software engineers to implement image processing pipelines, integrate machine learning inference engines onto mobile and embedded devices, and validate model performance under real-world frontline conditions. This is an ideal role for an early-career engineer passionate about deep learning, high-performance C++/Python engineering, and on-device AI deployment.

Roles and Responsibilities -

• Implement, refactor, and integrate computer vision algorithms and deep learning inference modules into production-grade SDKs and client applications.
• Build efficient preprocessing pipelines (filtering, thresholding, perspective transformation, normalization) and post-processing modules using OpenCV and modern C++.
• Assist in deploying trained models onto target enterprise devices (e.g., Android mobile computers, edge gateways) utilizing frameworks such as ONNX Runtime, TFLite, or Qualcomm SNPE/QNN.
• Measure and profile algorithm latency, memory utilization, and inference accuracy across various hardware platforms.
• Support dataset curation, synthetic data generation, and ground-truth validation for OCR, document parsing, and barcode/package recognition tasks.
• Write unit tests, integration tests, and automated regression suites to maintain high code quality and prevent functional regressions.
• Actively participate in sprint planning, stand-ups, code reviews, and technical documentation.
• Partner with QA, senior algorithm researchers, and platform teams to diagnose, debug, and resolve algorithmic and integration issues discovered during field testing.

Qualifications -

• Minimum Qualification -Bachelor’s in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field.

• Preferred Qualification -Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field.

• Experience: 1–3 years of professional software development or relevant internship/academic project experience in Computer Vision or Deep Learning.

Benefits:

We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.

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.