Junior IIOT Engineer, Shanghai

Posted 3 Days Ago
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Shanghai, Shanghai Municipality, Shanghai, CHN
Hybrid
Entry level
Computer Vision
The Role
Deploy and commission AI vision-inspection systems on customer production lines. Configure camera inspection recipes, troubleshoot cameras and industrial networks, and integrate systems with PLCs, HMIs, and dashboards using Node-RED, I/O, EtherNet/IP, and Profinet. Provide on-site customer support, training, issue resolution, and deployment documentation while developing independence through mentorship and training.
Summary Generated by Built In
About Overview.ai

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 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.

Skills Required

  • Diploma or degree in Electrical, Automation, Mechatronics, or a related industrial field; Computer Science or software background accepted with hands-on factory experience
  • Basic knowledge of PLCs and industrial automation, including signals, I/O, trigger logic, and handshake logic
  • Basic understanding of common manufacturing processes
  • Ability to understand on-site requirements and convert customer needs into inspection and integration specifications
  • Solid troubleshooting and systematic problem-solving ability
  • Strong hands-on drive and problem-solving mindset
  • Basic English reading and writing, with willingness to improve
  • Willingness and ability to travel frequently across China and Southeast Asia
  • Valid passport
  • Comfort working directly in a live factory environment
  • Experience with Keyence, EtherNet/IP, MQTT, or similar PLC brands and industrial protocols
  • Scripting or programming experience with JavaScript or Python
  • Experience with Node-RED or other low-code tools
  • Familiarity with machine vision, industrial cameras, or industrial networking
  • Basic SQL or dashboard-tool experience
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The Company
Year Founded: 2018

What We Do

Overview provides real time fault detection that uses cameras and AI to monitor manufacturing equipment.

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