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Computer Vision Developer I – Edge AI & OCR SDK

Zebra Technologies · Bengaluru

CompanyZebra Technologies
RoleComputer Vision Developer I – Edge AI & OCR SDK
LocationBengaluru
Work modeHybrid
Experience1–3 years
Job typeFull-time

About this job

Zebra Technologies is hiring a Computer Vision Developer I in Bengaluru for its AI Data Capture SDK and edge AI products. You will work with algorithm researchers and senior engineers on image processing and on-device AI.

The work covers OpenCV pipelines in modern C++, running models on Android devices and edge gateways with ONNX Runtime, TFLite or Qualcomm SNPE, and testing OCR, document and barcode recognition. It suits early-career engineers who like deep learning. The role is hybrid.

Eligibility

  • 1-3 years of software work, internships or academic projects in computer vision or deep learning
  • Bachelor's in CS, computer, electrical engineering or data science
  • C++ and Python programming
  • OpenCV image processing basics
  • On-device model deployment (ONNX, TFLite, SNPE) is a plus

Skills required

C++PythonOpenCVDeep LearningONNX RuntimeTFLiteQualcomm SNPE / QNNAndroid

What you will do

  • Add CV algorithms and inference modules to production SDKs
  • Build pre- and post-processing pipelines with OpenCV and C++
  • Deploy trained models to Android and edge devices
  • Measure latency, memory use and accuracy across hardware
  • Write unit, integration and regression tests

How to apply

  • Open the official Zebra Technologies job page with the Apply button and submit your application there.
  • Tailor your resume to computer vision or deep learning projects, the models you deployed and the speed or accuracy you reached.

Before the interview, prepare:

  • OpenCV: thresholding, perspective transform and contour detection
  • Running a model on device: quantisation and ONNX/TFLite conversion
  • OCR and barcode pipelines: detection, recognition and post-processing
  • Profiling C++ code for latency and memory

Apply on official website →

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Posted 10 Nov 2026 · Last checked 13 Nov 2026 · Official source

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