---
title: 'Junior IIOT Engineer, Shanghai at Overview Corporation'
canonical: 'https://feeny.ai/job/junior-iiot-engineer-shanghai-overview-corporation-shanghai-cedzgsnabx38'
type: 'job'
last_seen: '2026-09-13'
---

# Junior IIOT Engineer, Shanghai at Overview Corporation

- **Company:** Overview Corporation
- **Location:** Shanghai, China
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-11
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/overview/489170b9-201e-4ef4-8d62-e1eb041175ad

## Job description

About [Overview.ai](http://Overview.ai) [Overview.ai](http://Overview.ai) brings the cutting edge of AI computer vision to manufacturing, solving inspection problems that traditional machine vision could not handle. We build GPU-powered smart cameras, deploy them on production lines around the world, and operate the platform that keeps those fleets running. 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 Role

As a Junior IIoT Engineer, you will help bring our systems live at customer sites: connecting smart cameras to line PLCs, building the logic that runs the inspections, and making sure everything runs reliably on the factory floor. You will be mentored and grow into someone who can own an entire deployment. We provide structured training in Node-RED, camera inspection-recipe building, and English. We do not expect you to master these tools on day one, but we do expect you to already have a solid industrial-field foundation (see Requirements), which we build on to make you a fully capable engineer.

## Key Responsibilities

Deployment and Commissioning

- Deploy and commission [Overview.ai](http://Overview.ai) vision-inspection systems on customer production lines, on-site.
- Create and tune camera inspection recipes for each product (regions of interest, models, pass/fail criteria).
- Set up and troubleshoot on-site: cameras, industrial networking and switches, and connectivity issues, using our existing internal diagnostic tools.

Integration

- Build and maintain integration logic in Node-RED (data flow between cameras, PLCs, HMIs, and dashboards).
- Integrate cameras with factory PLCs over I/O, EtherNet/IP, and Profinet: triggering, handshake signals, and result reporting.

Customer Support and Teamwork

- Support customers on-site: basic training, issue resolution, and clear written and photo documentation of each deployment.
- Work closely with the team, escalating complex problems while steadily taking on more independence.

## Requirements

- A diploma or degree in Electrical, Automation, Mechatronics, or a related industrial field. A Computer Science or software background is also fine if paired with hands-on factory experience.
- A working foundation in industrial fundamentals, which we expect you to have on day one:
- Basic concepts of PLCs and industrial automation (signals, I/O, trigger and handshake logic).
- A basic understanding of common manufacturing processes.
- The ability to read and clarify on-site requirements, turning customer needs into actionable inspection and integration specs.
- Solid troubleshooting instincts: systematically pinpointing what went wrong and why.
- A strong hands-on drive and problem-solving mindset: you like to dig into why something is not working and fix it.
- Basic English reading and writing, with a genuine willingness to improve.
- Able and willing to travel frequently across China and Southeast Asia, with a valid passport.
- Reliable, communicative, and comfortable working directly in a live factory environment.

Nice to Have (not required, we will train you)

- Hands-on experience with specific PLC brands or industrial protocols (Keyence, EtherNet/IP, MQTT, or similar).
- Any scripting or programming experience (JavaScript, Python), or low-code tools such as Node-RED.
- Familiarity with machine vision, industrial cameras, or industrial networking.
- Basic SQL or dashboard tools.

## What We Offer

- A clear training path: Node-RED and camera-recipe building training, plus English training by an external instructor (two-year program).
- On-the-job training and mentorship: you learn by doing on real projects.
- Fast, real ownership: you will be commissioning live systems at major manufacturers.
- A growth track from Junior IIoT Engineer to IIoT Engineer to Senior IIoT Engineer.

## About Overview Corporation

## Company Overview
- **One-liner**: Overview Corporation builds AI-powered vision systems for automated defect detection and quality inspection in manufacturing.
- **Entity Type**: Private (Startup; Y Combinator W19 batch)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2019
- **Founders**: Russell Nibbelink, Austin Appel, Xiaoyang Kao

## Core Business
- Primary industry/industries: Industrial AI, Computer Vision, Manufacturing Quality Control, Industrial Automation
- Target customers: B2B – Enterprise manufacturers across automotive, pharmaceutical packaging, electronics, and general industrial sectors
- Mission or purpose statement: "Catch every manufacturing defect in the world"

## Products & Services
- **OVX Inspection Platform**: AI-based quality inspection platform that runs entirely on edge devices, using advanced data augmentation to reduce sample requirements by 10x and training models in under one hour with as few as five images.
- **OV10i AI Vision Sensor**: Compact, smart camera with on-device AI training and inference, local browser-based configuration, and a 3–6 month typical payback cycle.
- **OV20i AI Vision Sensor**: Mid-range AI vision sensor with 200K+ production images storage, on-device training, and connectivity through all major PLC protocols (EtherNet/IP, Profinet, Modbus, OPC-UA, MQTT, HTTP, RS232, Discrete I/O).
- **OV80i High Performance AI Vision System**: GPU-powered high-accuracy edge system (NVIDIA GPU in every unit) for the most demanding inspection tasks, using vision-transformer-based models.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total team of 50+ members, deployed across 30+ cities in 10 countries and 5 continents
- **Notable Investors/Partners**: Y Combinator (Winter 2019 batch); founding team members include former Tesla manufacturing leaders; Forbes 30 Under 30 recognition for the three co-founders
- **Growth Signals**: Rapid global expansion with local teams across 30 cities in 10 countries; deployed in demanding factory environments (automotive connectors, pharmaceutical packaging); achieving 100% defect coverage with 50% reduction in inspection costs and 75% reduction in rework; 0% defect escape rate reported

## Competitive Advantages
- **100% Edge computing** – No cloud dependency, production data never leaves the factory floor, addressing critical security and latency requirements
- **Rapid deployment** – Models trained in under one hour with as few as five images; deploy production systems in hours, not months
- **Hardware + Software integration** – Smart cameras with embedded NVIDIA GPUs and pre-loaded AI software, eliminating need for external compute
- **Open platform** – Compatible with every major PLC protocol, enabling seamless integration into existing factory infrastructure
- **Founding team pedigree** – Deep domain expertise from scaling production and quality systems in demanding factories, including Tesla

## Strategic Focus
- Continue global expansion into new geographies and manufacturing verticals
- Deepen edge AI capabilities for real-time, continuous inference in harsh factory environments
- Shorten time-to-ROI for customers (current target: 3–6 months payback)
- Scale team globally with engineering, science, and field operations talent

## Why Work Here
- **Real-world impact**: Code runs on real production lines 24/7 catching real defects, with metrics tracked in defects caught and scrap reduction, not research benchmarks
- **End-to-end ownership**: Engineers own problems from customer scoping through factory deployment and ongoing monitoring – no product manager layer
- **Ship fast, ship often**: Startup tempo with manufacturing rigor; work hits production lines within weeks
- **Global, remote-friendly culture**: Distributed teams across San Francisco, Austin, Mexico City, São Paulo, Zurich, Taipei, Shanghai and more; work asynchronously across time zones
- **Competitive compensation**: Salary, equity, comprehensive health insurance, 401(k), and generous PTO
- **Learning & growth**: Work alongside former Tesla, Apple, and top-tier manufacturing engineers; sponsorship for conferences, courses, and certifications
- **Solve hard problems**: Real-time AI inference, edge computing, multi-camera systems inspecting thousands of parts per minute in noisy, vibrating factory environments
- **Engineering-first culture**: Small teams, big ownership, direct customer impact

## Sources
1. [overview.ai – Company page](https://www.overview.ai/company/)
2. [overview.ai – Homepage](https://www.overview.ai/)
3. [overview.ai – Careers page](https://www.overview.ai/company/careers/)
4. [Y Combinator – Overview profile](https://www.ycombinator.com/companies/overview)
5. [Ashby – Overview careers page](https://jobs.ashbyhq.com/overview)

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