Overview AI

Overview.ai designs and develops industrial inspection systems powered by deep learning and AI vision transformers. Their core product, the OV20i AI Vision System, offers high accuracy for…

AI VisionAutomated InspectionComputer VisionDeep LearningDefect DetectionIndustrial InspectionManufacturingQuality Controloverview.ai

Overview AI

Overview.ai designs and develops industrial inspection systems powered by deep learning and AI vision transformers. Their core product, the OV20i AI Vision System, offers high accuracy for…

AI VisionAutomated InspectionComputer VisionDeep LearningDefect DetectionIndustrial InspectionManufacturingQuality Controloverview.ai

HQSan Francisco, US

Team Size60

Open Jobs19

Total Funding$13M

Latest Fundraise4 years ago

TL;DR

Core product: OV20i AI Vision System and OV10i/OV80i edge cameras with the Snap software platform

Focus: Industrial AI-powered machine vision for manufacturing quality inspection (edge/on-premise)

Founders: Christopher Van Dyke, Austin Appel, Russell Nibbelink (former Tesla manufacturing leaders)

Founded: 2018

Funding signals: Backed by investors including Y Combinator, Bain Capital Ventures, Blumberg Capital, Alumni Ventures, Castor Ventures

Company Overview

Problem Domain

Manufacturing quality inspection and defect detection in automotive, electronics, pharmaceutical, and industrial manufacturing.

Founded

2018

Industry

Automation Machinery Manufacturing

Tech Stack

NVIDIA GPU (on-device)

Edge/on-premise deployment

Compatibility with standard industrial cameras and production software

Funding Track Record

Seed/early (implied)

Multiple rounds listed publicly; Crunchbase shows 2 funding rounds with latest labeled Series A

Series A- 2022-02-17

Latest round labeled Series A; company lists investors including Y Combinator and Bain Capital Ventures among others

Investor Signal

“Backed by Y Combinator, Bain Capital Ventures, Blumberg Capital, Alumni Ventures, Castor Ventures, and others”

Join the Team

Embedded Software Engineer (Python / Docker / Edge Devices/ IoT)

HybridTaipei, Taipei City

Hybrid • Taipei, Taipei City

Embedded Software Engineer We are seeking a Systems Software Engineer with strong Embedded Linux experience to join our engineering team. You will design, build, and maintain the software that powers our NVIDIA Jetson–based edge AI cameras — including Python application code, system services, OTA update mechanisms, networking, and device reliability.

This is a hands-on engineering role focused on Linux systems and product software running on resource-constrained devices. You will not be working on MCU firmware or low-level hardware bring-up. Instead, you’ll operate across the OS and application stack to ensure our camera systems are robust, secure, and easy to deploy at scale.

If you enjoy building software for , solving complex debugging challenges, and owning features end-to-end, we would love to speak with you!

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Develop and maintain system-level and application-level software for NVIDIA Jetson devices
Implement and own OTA for our deployed device fleet
Write Python application code for device control, edge logic, monitoring, and data flows
Work with C/C++ components for performance-critical functionality
Integrate camera/video pipelines to capture, process, and analyze real-time video streams
Debug Linux systems involving multiple services, containers, and custom applications
Tune performance across the stack: kernel, services, containers, and user applications
Use Docker containers for packaging and deploying edge software components
Collaborate with hardware vendors to diagnose and resolve system-level issues
Work with backend/API teams to maintain reliable device–server communication

Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field
5+ years of experience in Linux-based embedded systems or systems software
3+ years of Python development experience
Solid C++ skills in a Linux environment
Experience with SBC or Embedded Linux platforms
Understanding of networking fundamentals (TCP/IP, routing, TLS/HTTPS, certificates)
Experience debugging Linux applications and services (systemd, logs, containers)
Strong problem-solving skills and an independent ownership mindset
Clear communication and collaboration skills

Experience implementing OTA systems or device-update workflows
Experience with Docker containerization
NodeRED, Flask, or REST API development
Industrial automation background (PLC ladder logic, Structured Text)
Industrial protocols: EtherNet/IP, Profinet, Modbus, RS232, RS485, CANbus
Experience with OpenCV, GStreamer, or real-time video processing
Experience with FTP/SFTP/SMB, NTP synchronization, or device-to-server messaging
Experience with fleet management of edge devices

Overview AI

Overview AI

TL;DR

Company Overview

Problem Domain

Founded

Industry

Tech Stack

Funding Track Record

Investor Signal

Founders

What we do

Join the Team

Embedded Software Engineer (Python / Docker / Edge Devices/ IoT)

Startup jobs. A lot of them.

Product Designer

AI Researcher

DevOps Engineer

Data Scientist

Backend Developer

AI Researcher

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