We are seeking a 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 Will Work On

Develop and maintain system-level and application-level software for NVIDIA Jetson 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
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

Here’s a secret between you and me: even the world’s largest manufacturers, companies like Tesla and Toyota, waste billions of dollars every year making products with quality issues. Building high-quality things at scale is incredibly hard. It doesn’t just happen because you hire smart people or buy good machines. It requires seeing problems early, understanding them deeply, and acting in real time, something factories were never designed to do.

At Overview.ai, we’re changing that. We build custom hardware, edge AI, and software systems that give manufacturers real visibility into how their products are actually being made. Our technology helps catch defects earlier, reduce waste, and fundamentally improve how factories operate. This work matters, not just for our customers, but for keeping American manufacturing competitive in a world that’s moving faster every year.

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

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