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Overview AI

AI-driven inspection systems for manufacturing quality

Senior Software Development Engineer in Test

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeTaipei City, TaiwanNo salary listedHybrid

About the Job

Requirements

  • At least 4 years of experience as a Software Development Engineer in Test, Embedded Test Engineer, or Software Engineer, with demonstrated technical expertise and project ownership at Senior or Staff level.
  • Hands-on experience with the NVIDIA Jetson ecosystem or similar resource-constrained embedded Linux systems.
  • Expert proficiency in Python for building complex automation frameworks, continuous integration and continuous delivery integrations, and device-interaction tooling.
  • Experience testing web applications and APIs using modern automation frameworks such as Playwright, Cypress, or Selenium.
  • Deep experience programmatically testing AIoT edge devices, embedded Linux systems, and local network protocols.
  • Professional experience with or a strong interest in using AI agent tools to architect solutions and efficiently solve difficult technical problems.
  • Ability to work independently and navigate ambiguity in a hardware-software co-design environment.

Responsibilities

  • Design and execute fully programmatic end-to-end test flows that simulate manufacturing inputs such as synthetic video streams, trigger local NVIDIA Jetson inference, and validate web application functionality with physical or network outputs in a strict environment.
  • Architect and develop automated testing frameworks from scratch using Python, targeting embedded Linux systems and edge AI devices.
  • Develop and maintain automated user-interface and application programming interface test suites for web applications and local interfaces used to configure, monitor, and interact with vision systems.
  • Build and scale hardware-in-the-loop testing infrastructure to simulate factory environments and stress-test physical camera systems under real-world compute, memory, and thermal constraints.
  • Investigate failures spanning physical hardware, custom baseboards, Linux operating-system kernels, local network protocols including TCP/IP and RTSP, web application layers, and edge Docker containers.
  • Define and execute the programmatic quality strategy for complex devices deployed in manufacturing environments.

Desired Qualifications

  • Experience validating computer vision applications, OpenCV, or real-time video processing streams.
  • Background in industrial automation or familiarity with industrial network protocols such as PLC, EtherNet/IP, or Modbus.

About the Company

Overview AI

AI-driven inspection systems for manufacturing quality

Overview.ai is an industrial automation company that develops AI-powered inspection systems for manufacturing. Its flagship OV20i blends a vision system with a vision sensor and includes an integrated NVIDIA GPU, storing up to 300,000 images and running complex algorithms without programming. The product uses deep learning and computer vision to improve quality control by detecting defects and streamlining inspections in dynamic environments. The company sells its proprietary hardware and software directly, with long-term service agreements as part of its business model. Backed by investors like Y Combinator and Bain Capital Ventures, Overview.ai aims to help manufacturers increase precision and efficiency in inspection processes and expand accessibility of advanced AI-powered quality control across diverse manufacturing applications.

Company size
51-200
Company stage
Series A
Total funding
$10.1M
Headquarters
San Francisco, CA
Founded
2018

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