Embedded Software Engineer 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
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