Senior Embedded Systems Engineer

About the role

Title: Senior Embedded Systems Engineer

Location: Taiwan (On-site / Hybrid)

Team: Engineering

Reports to: Engineering Manager

About the company

Overview.ai is transforming manufacturing quality control with advanced edge-enabled AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks—from subtle assembly verification to defect detection and orientation checks—delivering real-time, high-accuracy inspections that seamlessly integrate into existing production lines.

Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our cameras enables faster throughput, reduced scrap, and lower inspection costs—without the complexity and expense of traditional vision systems.

About the role

We are seeking a Senior Embedded 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 real hardware , solving complex debugging challenges, and owning features end-to-end, we would love to speak with you.

What you’ll do

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Develop and maintain system-level and application-level software for reliability in the field for our edge AI devices

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Implement and own OTA for our deployed device fleet

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Write Python application code for device control, edge logic, monitoring, and data flows

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Work with C/C++ components for performance-critical functionality

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Debug Linux systems involving multiple services, containers, and custom applications

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Tune performance across the stack: kernel, services, containers, and user applications

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Use Docker containers for packaging and deploying edge software components

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Collaborate with hardware vendors to diagnose and resolve system-level issues

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Work with backend/API teams to maintain reliable device–server communication

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Mentor the team through code review, coaching, and general feedback

What we’re looking for

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Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field

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