Android Developer
Industry : ManufacturingJob Title: Android DeveloperDuration: 06+ Months contract possibility for extensionLocation: Holtsville , NY-USAVisa : Any W2About the RoleZebra Technologies is seeking a hands-on software engineer to join our CTO App Engineering team, supporting the development of an on-device intelligent document and label recognition capability for Android enterprise mobile computers. The solution combines computer vision–based template matching, OCR, and barcode decoding to extract and validate structured data from labels and documents in frontline workflows such as warehouse receiving and delivery confirmation.You will work directly with the project's lead engineer to evolve an early-stage prototype into a productizable blueprint: restructuring the codebase, migrating to Zebra's latest AI SDK, building out authoring and runtime Android applications, and developing test and benchmarking infrastructure for vision/OCR accuracy.This role suits an engineer who thinks outside the box — someone comfortable with ambiguity, who can prototype creative approaches to real-world vision problems (imperfect print quality, inconsistent label formats, field normalization) rather than only implementing to spec.ResponsibilitiesDevelop and maintain Android applications (Kotlin/Java) for template authoring and frontline data extractionIntegrate and migrate computer vision, OCR, and barcode decoding capabilities using Zebra's AI/vision SDKsRefactor a prototype codebase into a modular, maintainable architecture (multi-module Gradle project with clean SDK abstraction layers)Build automated test harnesses and benchmarking tools to validate recognition accuracy, matching performance, and regression behavior across SDK versionsImplement template management features: zone/field definition UI, auto-detection of text and barcode elements, template profiles, and conflict detectionPrototype and evaluate approaches to challenging extraction problems, such as vendor-specific field naming variations and barcode-vs-OCR trade-offsContribute to on-device performance profiling (latency, memory) for real-time and single-shot capture workflowsDocument code, integration interfaces, and test results for internal engineering consumptionRequired Qualifications5+ years of professional software engineering experienceStrong Android application development skills (Kotlin and/or Java), including camera APIs, multi-module project structure, and modern Android toolingWorking knowledge of computer vision and OCR concepts: image preprocessing, feature/template matching, text detection and recognition, barcode symbologiesExperience integrating third-party or platform AI/ML SDKs into mobile applicationsFamiliarity with modern AI tools and the ability to apply them pragmatically in engineering workflows (e.g., AI-assisted development, LLM-based post-processing of extracted data)Solid software engineering fundamentals: Git, code review, unit/integration testing, CI conceptsStrong problem-solving skills and demonstrated ability to work independently on loosely defined problemsPreferred QualificationsExperience with on-device ML inference on Android (e.g., TensorFlow Lite, Qualcomm AI stack, NPU/DSP acceleration)Background in enterprise mobility, data capture, warehouse/logistics, or scanning solutionsExperience with OpenCV or similar vision librariesExperience building developer-facing samples, blueprints, or reference applicationsFamiliarity with structured data formats and schema design (JSON), and with device provisioning via MDM