
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).
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What You’ll Own Controls + line integration (core of the job)
Integrate Overview.ai systems into automation lines and make them rock-solid.
Commission and troubleshoot PLC-to-device communication across common industrial protocols:
EtherNet/IP, PROFINET, Modbus, OPC UA (and real-world variants)
Diagnose and eliminate timing and triggering issues:
double triggers, missed triggers, trigger bounce, incorrect edge detection, latency/jitter, inconsistent handshakes
Debug inconsistent network communication:
packet loss, unstable links, IP conflicts, switch configuration issues, grounding/noise coupling, cable quality, EMI, misconfigured QoS/VLANs (where applicable)
Work with PLC logic and machine sequencing to ensure correct system behavior:
interpret and modify ladder logic / structured text (as needed) to stabilize integration and performance
Build repeatable integration standards:
wiring patterns, sensor conditioning recommendations, network topologies, validated PLC templates, commissioning checklists
Electrical + signal integrity debugging (hands-on)
Troubleshoot sensors, discrete I/O, and signal conditioning in real factory environments:
NPN/PNP sensors, pull-ups/pull-downs, filtering/debounce, shielding/grounding, noise mitigation
Use multimeters and oscilloscopes to diagnose:
voltage levels, signal bounce, timing alignment, interference, poor grounding, intermittent connections
Identify root cause quickly and implement robust fixes—not temporary patches.
Field leadership + customer trust
Be the senior technical point of contact on-site: calm, decisive, and structured under pressure.
Train customer automation engineers and technicians on best practices for operation and first-line troubleshooting.
Capture high-quality issue reports for HQ engineering:
reproduction steps, logs, electrical measurements, network symptoms, PLC state, and recommended fixes
Drive feedback loops that result in real product improvements (tooling, diagnostics, reliability features).
Required What we’re looking for
Deep PLC / controls engineering experience (you can independently commission and debug automation lines)
5+ years in controls / automation / field engineering in high-volume manufacturing environments
Hands-on expertise with industrial networks and protocols:
EtherNet/IP, PROFINET, Modbus, OPC UA (practical troubleshooting, not just theory)
Strong electrical debugging ability:
multimeter + oscilloscope competence, reading schematics, signal conditioning, EMI/noise intuition
Strong understanding of sensors, triggering, and real-time sequencing on production lines
Mandarin fluency (native or near-native)
Working English for technical communication with global teams
Traits that matter (we screen hard for these)
Why Overview.ai (why top candidates join)