Senior Embedded Software Engineer

About the role

We are seeking a Senior Embedded 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.

Responsibilities

• Develop and maintain system-level and application-level software for reliability in the field for our edge AI 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
• 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
• Mentor the team through code review, coaching, and general feedback

Requirements

• Bachelor's or Master's in Computer Science, Electrical Engineering, or related field
• 5-7+ years of experience in Linux-based embedded systems or systems software
• Solid C++ skills in a Linux environment and/or Python development experience
• 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)
• Experience with Docker containerization
• Strong problem-solving skills and independent ownership mindset
• Clear communication and collaboration skills
• Experience implementing OTA systems or device-update workflows
• 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

Benefits

Additional Information

Senior Embedded Software Engineer About Overview Overview.ai is transforming manufacturing quality control with advanced edge-enabled AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks-from subtle assembly verification to defect detection and orientation checks-delivering real-time, high-accuracy inspections that seamlessly integrate into existing production lines. Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our cameras enables faster throughput, reduced scrap, and lower inspection costs-without the complexity and expense of traditional vision systems.

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