---
title: 'Application Engineer, Taichung at Overview Corporation'
canonical: 'https://feeny.ai/job/application-engineer-taichung-overview-corporation-taichung-41m0x2ba3v04'
type: 'job'
last_seen: '2026-09-13'
---

# Application Engineer, Taichung at Overview Corporation

- **Company:** Overview Corporation
- **Location:** Taichung, Taiwan
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-11
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/overview/8e74662c-b7e4-43ef-a6e6-3a8da0d5108e

## Job description

About [Overview.ai](http://Overview.ai) [Overview.ai](http://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).

This role is for a mechanically strong systems integrator: someone who can look at a machine design and immediately see what will work, what will fail, and what will create headaches six months later. You will own the mechanical integration of our camera + lens + lighting into automation machines, review CAD, guide machine builders, and ensure deployments are robust, serviceable, and scalable. You are still an [Overview.ai](http://Overview.ai) applications engineer—meaning you’ll be on-site, you’ll solve real production problems, and you’ll make sure the system delivers value every day.

## Why this role is exciting

- You influence real machine design: You’re not “installing hardware.” You’re shaping how machines are built so AI inspection works reliably for years.
- High leverage engineering: A great integration decision can prevent months of field issues—vibration, misalignment, access problems, cable failures, contamination, poor serviceability.
- Work at the frontier: Integrating edge AI cameras into high-speed automation is still new. You’ll help set the standard.
- Talent density + fast feedback loops: You’ll work with world-class AI, embedded, firmware, and product teams—and your field learnings directly change the product and deployment playbooks.
- High travel + high autonomy: You’ll be trusted to represent [Overview.ai](http://Overview.ai) at customer sites and with machine builders.

## What you’ll own

Mechanical integration

- Own the mechanical integration of camera + lens + lighting into customer automation machines:
- mounting design, stability, alignment, adjustability, service access, environmental protection, cable routing/strain relief
- Review machine builder CAD (2D/3D) and sign off on designs that meet [Overview.ai](http://Overview.ai) integration standards.
- Provide direct, practical feedback to machine builders to improve designs before metal is cut:
- reduce vibration sensitivity, protect optics, ensure repeatable alignment, avoid thermal drift, improve maintainability
- Specify integration requirements and best practices:
- mounting interfaces, bracket designs, tolerances, datum strategy, access clearances, protective enclosures, contamination management
- Anticipate long-term failure modes and design them out:
- loosening fasteners, wear points, cable fatigue, lens contamination, shock/vibration, misalignment, fixture flex
- Own commissioning readiness: ensure mechanical design supports stable triggering, repeatable imaging, and rapid service.

Field applications engineering (production outcomes)

- Support new line deployments and maintain/optimize systems already installed at customer sites.
- Diagnose issues that look “AI” but are actually mechanical/system integration problems:
- intermittent image quality, drift over time, vibration blur, occlusion, part presentation variability, contamination
- Train customer teams and machine builders on integration best practices and basic troubleshooting.
- Document field learnings and turn them into repeatable standards, checklists, and reference designs.

## Who you are

Required

- Strong mechanical/systems integration background in automation equipment or industrial machines
- Ability to read and review machine design CAD and provide actionable design feedback (SolidWorks/Creo/AutoCAD or similar)
- Experience integrating components into machines with attention to:
- tolerances, alignment, vibration, serviceability, cabling, environmental protection, repeatability
- Comfort in factory environments: commissioning, troubleshooting, and working hands-on
- Mandarin fluency (native or near-native)
- Working English for technical collaboration with global teams
- High ownership mindset: you take problems personally and drive them to closure

Strong preferences

- Experience with high-volume manufacturing lines (electronics, automotive, connectors, battery, packaging, assembly)
- Experience working with machine builders/integrators and managing design iteration loops
- Comfort partnering with controls engineers on timing/triggering and line sequencing constraints

Why [Overview.ai](http://Overview.ai) (why top candidates join)

- Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
- Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
- Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
- Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
- Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.

## 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)

## Other roles at Overview Corporation

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- [Senior Field Engineer(Controls)](https://feeny.ai/job/senior-field-engineer-controls-overview-corporation-haiyan-sr3k54j7bmjm) — Haiyan
- [Applications Manager](https://feeny.ai/job/applications-manager-overview-corporation-shanghai-3sgyb3px0mz1) — Shanghai, China
- [Technical Sales Engineer](https://feeny.ai/job/technical-sales-engineer-overview-corporation-shenzhen-695jzn4sk76x) — Shenzhen, China
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- [Marketing Executive](https://feeny.ai/job/marketing-executive-overview-corporation-san-francisco-h6fqpdg1zmfn) — San Francisco, CA
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