Overview

按鈕，並透過連結完成申請，謝謝！Embedded Software EngineerWe are seeking an Embedded Software Engineerwith 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 devicesImplement and own OTA for our deployed device fleetWrite Python application code for device control, edge logic, monitoring, and data flowsWork with C/C++ components for performance-critical functionalityIntegrate camera/video pipelines to capture, process, and analyze real-time video streamsDebug Linux systems involving multiple services, containers, and custom applicationsTune performance across the stack: kernel, services, containers, and user applicationsUse Docker containers for packaging and deploying edge software componentsCollaborate with hardware vendors to diagnose and resolve system-level issuesWork with backend/API teams to maintain reliable device–server communication Qualifications Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field5+ years of experience in Linux-based embedded systems or systems software3+ years of Python development experienceSolid C++ skills in a Linux environmentExperience with SBC or Embedded Linux platformsUnderstanding 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 mindsetClear communication and collaboration skills Nice to Have Experience implementing OTA systems or device-update workflowsExperience with Docker containerizationNodeRED, Flask, or REST API developmentIndustrial automation background (PLC ladder logic, Structured Text)Industrial protocols: EtherNet/IP, Profinet, Modbus, RS232, RS485, CANbusExperience with OpenCV, GStreamer, or real-time video processingExperience with FTP/SFTP/SMB, NTP synchronization, or device-to-server messagingExperience with fleet management of edge devices按鈕，並透過連結完成申請，謝謝！

按鈕，並透過連結完成申請，謝謝 Staff Embedded Systems Engineer About the company 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. About the role We are seeking a Staff 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. What you’ll do Develop and maintain system-level and application-level software for reliability in the field for our edge AI devicesImplement and own OTA for our deployed device fleetWrite Python application code for device control, edge logic, monitoring, and data flowsWork with C/C++ components for performance-critical functionalityDebug Linux systems involving multiple services, containers, and custom applicationsTune performance across the stack: kernel, services, containers, and user applicationsUse Docker containers for packaging and deploying edge software componentsCollaborate with hardware vendors to diagnose and resolve system-level issuesWork with backend/API teams to maintain reliable device–server communicationMentor the team through code review, coaching, and general feedback What we’re looking for Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field8-10+ years of experience in Linux-based embedded systems or systems softwareSolid C++ skills in a Linux environment and/or Python development experienceExperience with SBC or Embedded Linux platformsUnderstanding of networking fundamentals (TCP/IP, routing, TLS/HTTPS, certificates)Experience debugging Linux applications and services (systemd, logs, containers)Experience with Docker containerizationStrong problem-solving skills and independent ownership mindsetClear communication and collaboration skills Nice to have Experience implementing OTA systems or device-update workflowsNodeRED, Flask, or REST API developmentIndustrial automation background (PLC ladder logic, Structured Text)Industrial protocols: EtherNet/IP, Profinet, Modbus, RS232, RS485, CANbusExperience with OpenCV, GStreamer, or real-time video processingExperience with FTP/SFTP/SMB, NTP synchronization, or device-to-server messagingExperience with fleet management of edge devices Why join Build core systems that directly impact real-world manufacturingHigh ownership and autonomyWork closely with hardware, AI, and customer-facing teamsJoin a fast growing, fast moving and profitable startup 按鈕，並透過連結完成申請，謝謝！

按鈕，並透過連結完成申請，謝謝 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. 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. What you’ll do Develop and maintain system-level and application-level software for reliability in the field for our edge AI devicesImplement and own OTA for our deployed device fleetWrite Python application code for device control, edge logic, monitoring, and data flowsWork with C/C++ components for performance-critical functionalityDebug Linux systems involving multiple services, containers, and custom applicationsTune performance across the stack: kernel, services, containers, and user applicationsUse Docker containers for packaging and deploying edge software componentsCollaborate with hardware vendors to diagnose and resolve system-level issuesWork with backend/API teams to maintain reliable device–server communicationMentor the team through code review, coaching, and general feedback What we’re looking for Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field5-7+ years of experience in Linux-based embedded systems or systems softwareSolid C++ skills in a Linux environment and/or Python development experienceExperience with SBC or Embedded Linux platformsUnderstanding of networking fundamentals (TCP/IP, routing, TLS/HTTPS, certificates)Experience debugging Linux applications and services (systemd, logs, containers)Experience with Docker containerizationStrong problem-solving skills and independent ownership mindsetClear communication and collaboration skills Nice to have Experience implementing OTA systems or device-update workflowsNodeRED, Flask, or REST API developmentIndustrial automation background (PLC ladder logic, Structured Text)Industrial protocols: EtherNet/IP, Profinet, Modbus, RS232, RS485, CANbusExperience with OpenCV, GStreamer, or real-time video processingExperience with FTP/SFTP/SMB, NTP synchronization, or device-to-server messagingExperience with fleet management of edge devices Why join Build core systems that directly impact real-world manufacturingHigh ownership and autonomyWork closely with hardware, AI, and customer-facing teamsJoin a fast growing, fast moving and profitable startup 按鈕，並透過連結完成申請，謝謝