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

Overview· Engineering
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Taipei$60k - $90kFull-timePosted 9mo ago

About the role

Systems Software Engineer role focused on embedded Linux, Python applications, and edge device software for NVIDIA Jetson-based edge AI cameras. Hands-on Linux systems and product software on resource-constrained devices, including OTA, networking, and device reliability.

Responsibilities

  • Develop and maintain system-level and application-level software for NVIDIA Jetson devices
  • Implement and own OTA for 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

Qualifications

  • 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
  • Strong 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

Skills

Required:PythonC++LinuxDocker
Last updated Sep 9, 2026. Interested? Apply on the company site.
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About Overview

AI vision sensors for manufacturing

Overview is a company that takes the cutting edge in computer vision and deep learning and applies it to previously unsolvable manufacturing inspection problems. We are truly a full stack company. We install physical cameras into the facility, run inference on the edge and manage massive deployments. Overview also streams gigabytes of video/image data to the cloud for our web platform to give customers advanced insights and analytics.

deep-learningiotcomputer-vision
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