Vision Application Technician
Role details
Job location
Tech stack
Job description
We're looking for a Vision Application Technician to operate as the technical expert on end-to-end image formation and camera system design - helping our customers and engineering teams achieve optimal image quality and system performance for visual inspection use cases. You'll balance time between hands-on lab experimentation and field deployments at customer sites, ensuring reliable and high-quality camera integrations across diverse environments.
You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.
What you'll be doing
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Research and evaluate novel image formation systems to support advanced deep learning visual inspection use cases.
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Collaborate with sales and engineering teams to understand imaging requirements, and evaluate and specify optimal image formation systems - including camera, lens, lighting, and supporting hardware - for various visual inspection use cases.
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Experiment with and fine-tune these systems to optimize image and video quality.
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Configure and troubleshoot switches, routers, and other network components used in image acquisition pipelines.
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Assist with on-site installations, camera deployments, and end-to-end hardware bring-up, traveling frequently (50%-100%) to support deployments and provide in-person customer assistance.
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Provide on-call, on-site, and remote technical support and troubleshooting for camera systems, and deliver training sessions for customer teams as needed.
How you'll be doing it
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You'll empower our engineers to build and deploy world-class visual inspection solutions to solve challenging business problems.
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You'll operate in a collaborative but highly autonomous environment that isn't bogged down by unnecessary meetings or project management.
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You'll learn a lot along the way, diving into new technologies and the world of computer vision both on your own and during frequent company tech talks.
Requirements
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Strong understanding of camera system pipelines and the tradeoffs between parameters and image quality.
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Hands-on experience selecting and configuring camera hardware for industrial or manufacturing environments.
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Working knowledge of networking infrastructure, including configuring switches, routers, and other network-related components
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Practical experience troubleshooting imaging systems - both in the lab and in the field.
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Comfortable supporting customers directly through on-site visits, remote sessions, and training.
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Excellent collaboration, presentation, and communication skills - able to explain technical concepts clearly to both engineers and non-technical stakeholders.
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A self-driven mindset with the flexibility to work independently in the field and collaboratively within cross-functional teams.
Bonus points if...
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You have experience in computer vision, artificial intelligence, machine learning, or a related field.
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You have prior experience in solutions, sales engineering, or other customer-facing technical roles.
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You're familiar with one scripting language, such as Python.
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You have experience integrating with downstream automation systems, including PLCs, Node-RED environments, MES, or SCADA platforms.
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You have experience at a high-growth technology startup.
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You have a high-level understanding of networking infrastructure and protocols such as GigE, GenICam, USBVision, and ONVIF.
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You're familiar with streaming protocols like RTMP, RTSP, and HLS.