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# Embedded Software Engineer

- **Company:** Secury360
- **Location:** Belgium (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LTE (Telecommunication), Artificial Intelligence, Computer Vision, User Authentication, Microsoft Azure, Booting (BIOS), C Sharp (Programming Language), C++ (Programming Language), Cloud Database, Nvidia CUDA, Computer Programming, Continuous Integration, Linux, Linux on Embedded Systems, Embedded Software, Ethernet, Python (Programming Language), Linux Kernel, Linux System Administration, Message Queuing Telemetry Transport (MQTT), Public Key Infrastructure, Software Engineering, TCP/IP, Wi-Fi Technology, Cloud Platform System, Build Tools, Video Streaming, Docker
- **Published:** October 20, 2026
- **Apply:** https://secury-360.com/secury360-jobs/embedded-software-engineer

## About the Role

* Solid experience with embedded Linux development (5+ years preferred)
 * Expertise in Linux internals: kernel, bootloaders, device trees, root filesystem management
 * Strong programming skills in C/C++ with a good architecture mindset
 * Familiarity with embedded Linux build systems and CI/CD practices
 * Good knowledge of networking (TCP/IP, Ethernet, WiFi, LTE) and security basics (encryption, authentication, PKI)

Bonus skills:

 * Experience with GStreamer, CUDA, Python, Microsoft Azure IoT, Docker, MQTT, C#
 * Background in computer vision, video streaming, IoT edge observability, or electronics

Mindset:

 * Pragmatic, self-driven, eager to learn, and excited to innovate in a scale-up environment

## Description

As an Embedded Software Engineer, you'll design, build, and maintain the core software that powers our intelligent S360 Boxes., * Software development: Design and implement new features with monthly updates to thousands of deployed devices.

 * Linux setup: Build, configure, and optimize Linux environments (kernel, device tree, root filesystem, BSPs).
 * AI pipeline integration: Work closely with AI experts to embed advanced models and NVIDIA DeepStream pipelines.
 * Cloud system integration: Collaborate with cloud developers to optimize edge-cloud data flows.
 * Reliability and maintenance: Monitor, maintain, and improve device performance and stability.
 * Hardware collaboration: Work with hardware partners on new generations of the S360 Box.
 * CI/CD & quality: Enhance embedded development processes with better continuous integration, deployment, and observability.