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

Lead and manage a high-performing engineering team focused on architecting, optimizing, and deploying computer vision (CV) and edge AI algorithms for Zebra's AI offerings and AI Data Capture ecosystem. In this role, you will bridge cutting-edge deep learning research with robust embedded/edge software engineering, delivering production-grade AI capabilities directly onto frontline enterprise hardware and edge platforms. You will collaborate closely with Product Management, Core Platform Engineering, Research teams and Solution Architects to drive technical roadmaps, benchmark on-device model efficiency, and empower frontline workers with intelligent automation. You shall also be responsible for mentoring the team for their growth and development.

Drive Vision & AI Architecture: Lead the technical direction for state-of-the-art computer vision and deep learning models targeting edge inference on frontline mobile computers, wearable scanners, and edge compute boxes.
Algorithm & Pipeline Optimization: Oversee the end-to-end model pipeline—from data curation and synthetic data generation to training, pruning, quantization (INT8/FP16), and deployment using runtimes such as ONNX Runtime, TensorRT, and vendor-specific NPUs/DSPs.
Establish rigorous performance benchmarking standards (latency, memory footprint, thermal impact, and accuracy metrics) across diverse device form factors.
Manage a multidisciplinary team of CV algorithm researchers, AI/ML engineers, and edge software developers across full-time and contractor positions.
Promote best practices in modern C++, Python, ML lifecycle (MLOps), CI/CD test automation, and reproducible research.
Proven ability to manage multi-site, globally distributed engineering teams and external vendor/contractor resources.
Strong executive communication skills—capable of translating complex AI/CV concepts to business stakeholders and executive leadership.
High bias for action and problem-solving mindset in fast-paced product delivery environments.
Partner with Product Managers, Technical Leads, and System Architects to translate market requirements into actionable technical backlogs and delivery milestones.

Education: Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, Computer Vision, Artificial Intelligence, or a related quantitative field.
Experience:

8+ years of total experience in Computer Vision, Deep Learning, and Software Development.

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.

Manager Computer Vision & Artificial Intelligence