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

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

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- 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- Solid **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 **Nice to Have** - Experience implementing OTA systems or device-update workflows- Experience with Docker containerization- 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