Senior Embedded Systems Engineer

About Overview

Reshaping industrial quality with AI, hardware, and software

Tech

We build edge AI inspection systems that run directly on GPU-enabled industrial cameras and deploy on real manufacturing lines. The hard problems are end-to-end and production-grade: designing low-latency inference pipelines, deterministic triggering and buffering, on-device data capture for fast debugging, safe/atomic updates, and fleet-scale rollout across many sites. Our team spans web developers (building local configuration and monitoring UIs that run on the camera), AI/ML engineers, embedded + firmware engineers, and AI infrastructure engineers who own training pipelines, data/versioning, deployment tooling, and reliability.

The role

**Title:** Senior Embedded Systems Engineer **Location:** Taiwan (On-site / Hybrid) **Team:** Engineering **Reports to:** Engineering Manager ### **About the company** [Overview.ai](http://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** - Develop and maintain system-level and application-level software for reliability in the field for our edge AI 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- 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- Mentor the team through code review, coaching, and general feedback ### **What we’re looking for** - Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field- 5-7+ years of experience in Linux-based embedded systems or systems software- Solid C++ skills in a Linux environment and/or Python development experience- 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)- Experience with Docker containerization- Strong problem-solving skills and independent ownership mindset- Clear communication and collaboration skills ### **Nice to have** - Experience implementing OTA systems or device-update workflows- 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 ### **Why join** - Build core systems that directly impact real-world manufacturing- High ownership and autonomy- Work closely with hardware, AI, and customer-facing teams- Join a fast growing, fast moving and profitable startup