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Overview AI

AI-driven inspection systems for manufacturing quality

Engineering Manager - Core Platform

Engineering LeadershipUpdated on Nov 9
Full-timeTaipei City, Taiwan

About the Job

Requirements

  • Have led software engineering teams, including hiring, coaching, and performance management, alongside a strong record of shipping product-oriented software.
  • Have deep experience in one area of the stack—React, Python, or Go—and sufficient fluency in the others to review work in both.
  • Care about reliability in practice and have investigated failures that appear only after days of continuous runtime.
  • Have built release structures and sprint cadences rather than inheriting them.
  • Have strong instincts about interfaces and be able to identify when a screen will confuse an operator on a factory floor.
  • Want to work on physical AI, where software output makes a real-time decision about a physical part on a production line.
  • Work in Mandarin and English at a professional level.

Responsibilities

  • Lead teams building the core product platform and oversee execution of the technical roadmap for core products.
  • Work with product and engineering leadership to turn company priorities into a sequenced, executable team plan and push back when the sequence is not viable.
  • Own the release process for components, including sprint cadence, branch and release structure, test gates in GitHub Actions, and practices that prevent regressions from reaching customer production lines.
  • Define and build practices for performance and robustness, including memory behavior, startup time, long-run stability, and graceful degradation.
  • Speak directly with customers, translate feedback into engineering priorities, triage issues, protect engineers’ focus, and turn recurring field problems into product fixes.
  • Set the hiring standard, run the interview loop, and develop engineers on the team.
  • Manage a team of engineers and drive delivery of industrial AI products.
  • Work on the customer-facing product stack, including the frontend user interface and backend business logic for inspections, across the end-to-end user experience in a 24/7 manufacturing environment.

Desired Qualifications

  • Experience working on applications and software that run on edge hardware.
  • Experience working with AI/ML pipelines.

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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