Embedded Computer Vision Engineer
Ubiquiti - Taipei
Posted Mar 27, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Embedded Computer Vision Engineer Taipei About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you'll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for an experienced Embedded Computer Vision Engineer to join our growing AI team. In this role, you will work across the full lifecycle of AI-powered camera products - from training and optimizing deep learning models, to deploying them on embedded camera platforms with NPU acceleration, to building the on-device applications that enable intelligent camera features. You will collaborate closely with software, firmware, and hardware teams to deliver high-quality, production-ready AI camera solutions. Responsibilities (What he/she will do after joining UI) - Develop and maintain on-camera AI application pipelines, including object detection, event triggering, tracking, and camera peripheral control - Port, convert, and optimize deep learning models for deployment across multiple SoC/NPU platforms while maintaining accuracy and real-time performance - Integrate and validate AI inference engines with vendor-specific NPU SDKs and toolchains such as ONNX, TensorRT, QNN, or similar frameworks - Collaborate with
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