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