Embedded Computer Vision Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• 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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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

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Weekend work

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Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

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Assessment

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Deadline

Not stated

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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