Ubiquiti
Technology
EmbeddedComputerVisionEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Embedded Computer Vision Engineer at Ubiquiti. Skills: Embedded AI, Computer vision, Deep learning deployment. Develop on-camera AI pipelines. Maintain on-camera AI pipelines”
Industry & Context.
Performance debugging
What They're Looking For.
Must Have
MS or PhD, 3+ years professional experience, Python and C/C++ proficiency, Deep learning framework experience, Model optimization techniques experience, English communication skills
Nice to Have
Computer vision or NLP experience, Deploying models on embedded platforms, NPU or AI accelerator hardware experience, Model conversion toolchains experience, NPI or product development lifecycle experience, LLMs and VLMs familiarity, CI/CD, automated testing, or MLOps experience, Project ownership or mentoring experience
What You'll Do.
Develop on-camera AI pipelines
Maintain on-camera AI pipelines
Port deep learning models
Convert deep learning models
Optimize deep learning models
Integrate AI inference engines
Validate AI inference engines
Collaborate with hardware teams
Collaborate with firmware teams
Train computer vision models
Fine-tune computer vision models
Benchmark computer vision models
Profile performance bottlenecks
Debug performance bottlenecks
Build reusable frameworks
Improve reusable frameworks
Build CI/CD pipelines
Improve CI/CD pipelines
How You'll Work.
Team & Collaboration
Cross-functional teams; International teams
Full Job Description
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 hardware and firmware teams on New Product Introduction (NPI) for next-generation AI cameras, from early SoC evaluation through production bring-up Train, fine-tune, and benchmark computer vision models for tasks such as detection, classification, action recognition, and video analytics Profile and debug performanc
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