---
title: 'Assistant Application Engineer at Overview Corporation'
canonical: 'https://feeny.ai/job/assistant-application-engineer-overview-corporation-china-m3py5008h668'
type: 'job'
last_seen: '2026-10-25'
---

# Assistant Application Engineer at Overview Corporation

- **Company:** Overview Corporation
- **Location:** China
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-10-25
- **Apply:** https://jobs.ashbyhq.com/overview/ad33b509-2ebe-4c94-be91-91f4a79608ea

## Job description

Work Location: Nantong/Haiyan/Shenzhen

## Role Overview

At its core, this role is about deploying our vision inspection systems onto customer production lines, commissioning them, and keeping them running reliably, while guiding customers on how to use them correctly. The work is primarily on the factory floor. Under the guidance of senior engineers, you will take part in on-site installation and debugging, handle image capture, lighting and lens adjustment, AI model data collection and optimization, and solution validation, and support customer training and project delivery. As you gain experience, you will gradually take independent ownership of on-site projects. We are looking for someone with a solid engineering foundation and some working knowledge of vision inspection and automation, a strong ability to learn, and the initiative to analyze and resolve issues on site. Candidates who already have some advanced knowledge and want to keep growing in a real production-line environment are especially welcome.

## Key Responsibilities

- Handle on-site installation, debugging, and maintenance of vision systems at customer factories.
- Adjust cameras, lenses, and lighting, capture images, and tune inspection performance to a production-ready level.
- Support AI model data collection and optimization, and complete system deployment following standard processes.
- Troubleshoot and resolve on-site vision, networking, and automation issues, working independently and escalating promptly when needed.
- Train the customer's operations and quality staff on daily use and basic troubleshooting.
- Keep thorough on-site records and organize each project's configuration and know-how into reusable references.

## Requirements

- Associate degree (大专) or above in Electrical & Electronics, Mechanical, Robotics & Automation, or a related field.
- Some understanding of machine vision or automation (basic to intermediate); relevant internship or project experience is a plus.
- Strong hands-on ability, willing to be based at factory sites and travel as needed, and comfortable working in an on-site environment.
- Strong ability to learn, proactive in working through problems, and open to asking questions and learning.
- Strong sense of responsibility, well-organized, and able to communicate clearly with customers and colleagues.
- Mandarin is the working language; willingness to gradually learn and improve English (English is used frequently in team collaboration and technical materials).

## Nice to Have

- Experience with industrial cameras, lighting, or lens setup, or exposure to PLCs, sensors, and industrial networking.
- Production-line experience in industries such as electronics, automotive, connectors, batteries, or packaging.
- Able to read English technical documentation and hold a basic conversation.

## What We Offer

- Structured onboarding training, followed by one-on-one mentorship from a senior engineer to help you get up to speed quickly.
- Hands-on experience on real production lines, taking part in complete projects and building solid field expertise.
- A clear growth path: from contributing to projects, to independently owning on-site deployments, to handling more complex solutions.

## 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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