---
title: 'Applications Engineer, San Francisco at Overview Corporation'
canonical: 'https://feeny.ai/job/applications-engineer-san-francisco-overview-corporation-san-francisco-p1ctfshb24ct'
type: 'job'
last_seen: '2026-10-18'
---

# Applications Engineer, San Francisco at Overview Corporation

- **Company:** Overview Corporation
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-23
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/overview/36b953ed-0d6c-4465-a784-521581af569b

## Job description

Applications Engineer San Francisco, CA · Applications · Full time, in office Compensation: $80,000 to $110,000 USD base, plus an annual performance bonus of up to 20%. Travel: Up to 50%, typically lower.

## 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.

## THE OPPORTUNITY

This is a hands on machine vision role for someone who wants to get deep, fast. You will split your time between the lab and live customer applications: evaluating a lens, optimizing a camera setup, building a proof of concept, troubleshooting an inspection that has to hold on a production line. The work moves from bench to factory floor in weeks, not quarters, and what you learn in the lab shows up directly in what we deploy.

## WHY THIS ROLE IS EXCITING

- Become a genuine machine vision expert: optics, lighting, sensors, and AI inspection, on real parts and real lines.
- Own the experiment. You decide how to test it, you write the report, the finding changes the deployment.
- Sit at the seam of lab research and customer reality, where most vision engineers only ever see one side.
- Work directly with the most demanding manufacturers in the world, with Sales, Product, and Engineering a desk away.

## WHAT YOU'LL OWN

- Lab testing and experimentation: Hands on testing with cameras, lenses, lighting, and other machine vision components.
- Vision setup builds: Build and evaluate vision configurations for customer applications and internal projects.
- Technical test reports: Run application tests and turn out clear, fast technical reporting others can act on.
- Technology evaluation: Assess new components and technologies and call whether they improve our systems.
- Customer support in the field: Testing, troubleshooting, deployment, and technical problem solving for local customers.
- AI vision workflow: Image collection, labeling, training, and model evaluation on AI based inspection systems.
- Team enablement: Build the internal test setups, resources, and documentation the broader Applications team runs on.
- Optical and hardware projects: Camera calibration, new optical configurations, and hardware evaluation.

## WHO YOU ARE

Required

- 1 to 3+ years in machine vision, computer vision, applications engineering, robotics, automation, manufacturing, or a related field.
- Strong hands on grasp of machine vision fundamentals: cameras, lenses, optics, lighting, and image acquisition.
- Familiarity with lens types and when to use them, including telecentric lenses.
- Working understanding of AI based vision and how it differs from traditional rules based vision.
- Familiarity with image labeling, model training, classification, object detection, and segmentation.
- Strong troubleshooting instincts and a logical, experimental approach to technical problems.
- Comfortable working hands on with hardware and testing approaches independently.
- Able to document and communicate technical findings clearly.
- Eager to learn new technologies quickly, including industrial automation and PLCs.
- Based in San Francisco, working primarily from our office, with occasional travel to customer sites.

Strong Preferences

- Experience with industrial machine vision systems in production.
- Experience selecting or evaluating cameras, lenses, lighting, or optical components.
- Hands on experience with AI or deep learning inspection systems.
- Experience building proof of concept systems or running feasibility studies.
- Exposure to PLCs, industrial controls, or manufacturing automation.
- Experience working directly with manufacturing customers.

## WHY [OVERVIEW.AI](http://OVERVIEW.AI)

- Extreme growth and 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: One of the biggest transformations happening in industry right now.
- Ownership: Your work directly changes the trajectory of the company.
- Global exposure: You'll work with 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

- [Fulfillment and Operations Specialist, Shenzhen](https://feeny.ai/job/fulfillment-and-operations-specialist-shenzhen-overview-corporation-shenzhen-7abttxvfbbr1) — Shenzhen, China
- [Senior Full Stack Engineer, GenAI & Web Tools](https://feeny.ai/job/senior-full-stack-engineer-genai-web-tools-overview-corporation-taipei-63a04gdy6jjr) — Taipei, Taiwan
- [Vision Sales Engineer - Querétaro](https://feeny.ai/job/vision-sales-engineer-queretaro-overview-corporation-queretaro-mn7dft7vzp1q) — Queretaro
- [Vision Sales Engineer - Great Lakes Region](https://feeny.ai/job/vision-sales-engineer-great-lakes-region-overview-corporation-great-lakes-region-aak7xrmezm1b) — Great Lakes Region
- [Vision Sales Engineer - Northeast US](https://feeny.ai/job/vision-sales-engineer-northeast-us-overview-corporation-northeast-j0dcdga6mbcy) — Northeast, United States
- [Vision Sales Engineer - Dallas](https://feeny.ai/job/vision-sales-engineer-dallas-overview-corporation-dallas-5g0gfx6b2nv7) — Dallas, TX
- [Junior IIOT Engineer, Shenzhen](https://feeny.ai/job/junior-iiot-engineer-shenzhen-overview-corporation-shenzhen-zfp2t27bhpfg) — Shenzhen, China
- [Junior IIOT Engineer, Nantong](https://feeny.ai/job/junior-iiot-engineer-nantong-overview-corporation-nantong-xdgvvczs50fh) — Nantong, China
- [Senior Lead Full Stack Python Engineer](https://feeny.ai/job/senior-lead-full-stack-python-engineer-overview-corporation-taipei-rkfncgcmp154) — Taipei, Taiwan
- [Application Engineer - Taipei](https://feeny.ai/job/application-engineer-taipei-overview-corporation-taipei-41m0x2ba3v04) — Taipei, Taiwan