
Overview.ai designs and develops industrial inspection systems powered by deep learning and AI vision transformers. Their core product, the OV20i AI Vision System, offers high accuracy for…

Overview.ai designs and develops industrial inspection systems powered by deep learning and AI vision transformers. Their core product, the OV20i AI Vision System, offers high accuracy for…
Core product: OV20i AI Vision System and OV10i/OV80i edge cameras with the Snap software platform
Focus: Industrial AI-powered machine vision for manufacturing quality inspection (edge/on-premise)
Founders: Christopher Van Dyke, Austin Appel, Russell Nibbelink (former Tesla manufacturing leaders)
Founded: 2018
Funding signals: Backed by investors including Y Combinator, Bain Capital Ventures, Blumberg Capital, Alumni Ventures, Castor Ventures
Manufacturing quality inspection and defect detection in automotive, electronics, pharmaceutical, and industrial manufacturing.
2018
Automation Machinery Manufacturing
Multiple rounds listed publicly; Crunchbase shows 2 funding rounds with latest labeled Series A
Latest round labeled Series A; company lists investors including Y Combinator and Bain Capital Ventures among others
“Backed by Y Combinator, Bain Capital Ventures, Blumberg Capital, Alumni Ventures, Castor Ventures, and others”
About Overview.ai Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works —high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Overview.ai is building the most powerful edge AI vision platform for manufacturing—deployed on real production lines, not in lab demos. Our AI is only as good as the images we feed it. That’s why this role exists.
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We’re hiring a top-tier Vision Applications Engineer in China—someone who can walk up to a nasty inspection problem (reflective metal, transparent plastic, motion blur, awkward geometry, cramped mounting, unstable presentation) and immediately start forming a lighting + optics strategy that makes the problem solvable. You’ll be the person customers remember: the one who makes “impossible” inspections suddenly look obvious.
This role is vision-first. You don’t need to be a controls engineer. You do need to be an exceptional optical/lighting problem solver who can also own field execution: customer communication, on-site deployments, training, and project delivery.
Why this role is exciting
What You’ll Own
You will design and iterate the imaging solution that makes inspection reliable:
Select and tune lighting for challenging surfaces and geometries:
bright field / dark field, coaxial, dome, diffuse, low-angle, structured light, line lights, spot/point, backlight, multisource setups
polarization (cross/parallel), glare suppression, specular management
strobed lighting vs continuous, high-speed exposure strategies, motion-freezing
“2.5D” techniques: photometric-style approaches, multi-angle illumination, gradient/shape enhancement
Select and deploy lenses and optical elements:
telecentric, macro, high-NA, long working distance, wide-angle vs narrow, Scheimpflug (tilt) where appropriate
filters (bandpass, long-pass/short-pass), polarizers, diffusers, beam splitters
mirrors/prisms for impossible mounting angles and constrained spaces
Push beyond visible light when needed:
IR / NIR / SWIR (and other spectral strategies), multispectral approaches, fluorescence-style thinking where relevant
Diagnose and solve “weird” vision failure modes:
reflectivity, transparency, subsurface features, moiré, aliasing, lens flare/ghosting, vibration blur, rolling shutter artifacts, shadowing/occlusion, contamination drift
The bar: you can often tease out a workable imaging approach just by looking at the part + environment , then validate it quickly in the field.
Project ownership: deploy, stabilize, scale
Own customer deployments end-to-end: planning, on-site execution, training, follow-through.
Drive fast iteration cycles: image capture → lighting/lens adjustments → validation → production-ready setup.
Train customer teams (process/quality/ops) on:
daily operation, basic troubleshooting, re-validation after maintenance, and how to keep image quality stable.
Create clear documentation and “golden configs” that make future rollouts faster.
Competitive expertise: help us win
Maintain a strong working knowledge of the machine vision ecosystem and competitor offerings:
Cognex, Keyence, HALCON/MVTec, Hikrobot/Hikvision, and other common players.
Participate in pre-sales technical discovery and solutioning:
help position Overview.ai intelligently, identify where incumbents will fail, and propose imaging strategies that make our AI shine.
Feed market intelligence back into product and go-to-market teams.
Required Who you are
Deep, hands-on machine vision experience with a heavy emphasis on lighting + optics (not just “camera setup”)
Track record solving difficult inspections in production environments (reflective/transparent, tight geometry, high speed, variable presentation)
Strong practical knowledge of the lighting and lens landscape:
you understand the tradeoffs and failure modes, not just the catalog names
Ability to operate independently in factories and own outcomes
Mandarin fluency (native or near-native)
Working English for collaboration with global engineering/product teams
Strong communication skills: you can explain optical strategies clearly to customers and teammates
Strong preferences
What Success Looks Like
Why Overview.ai (why top candidates join)