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Overview

Vision Engineer

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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).

The mission

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.

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:

○ 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

○ 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

○ IR / NIR / SWIR (and other spectral strategies), multispectral approaches, fluorescence-style thinking where relevant

○ 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.

○ daily operation, basic troubleshooting, re-validation after maintenance, and how to keep image quality stable.

○ Cognex, Keyence, HALCON/MVTec, Hikrobot/Hikvision, and other common players.

○ help position Overview.ai intelligently, identify where incumbents will fail, and propose imaging strategies that make our AI shine.

Who you are

Required

○ you understand the tradeoffs and failure modes, not just the catalog names

Strong preferences

What success looks like

Why Overview.ai (why top candidates join)

You apply directly on Overview's careers site. See similar jobs