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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Engineer II Senior - **Company:** Eliassen Group - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $114,400.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Computer Vision, C++ (Programming Language), Cloud Computing, Software Documentation, Computer Networks, Databases, Computer Engineering, Continuous Integration, Datasheets, Linux on Embedded Systems, Firmware, Hardware Design, Image Quality, Networking Hardware, Internet Protocol, Python (Programming Language), Linux Servers, Machine Learning, Operational Data Store, Sensor Fusion, Software Systems, SQL Databases, Systems Integration, Virtualization Technology, Image Acquisition, Network Routers, PIC Microcontroller, Real Time Systems, Model Validation, Computerised Systems, Wireless Devices, Git, Deployment Automation, Network Server, Devsecops, Docker - **Published:** August 16, 2026 - **Apply:** https://www.dice.com/job-detail/ac83167d-856a-484f-9cf9-c6be7a431f74 ## About the Role * Experience developing, integrating, or troubleshooting complex hardware and software systems. * Working knowledge of C++ and Python. * Ability to troubleshoot systems involving hardware, software, embedded computing, networking, sensors, and field equipment. * Understanding of electrical and electronic fundamentals including sensors, signals, power, digital or analog I/O, embedded systems, and components. * Ability to read schematics, technical drawings, datasheets, and system documentation. * Understanding of computer networking fundamentals, IP networking, and networked devices. * Strong analytical, communication, collaboration, and hands-on problem-solving skills in lab and field environments. * Ability and desire to work across disciplines and learn new technologies. * Preferred: experience with robotics, mechatronics, autonomous systems, drones, industrial automation, motion systems, or physical system integration. * Preferred: experience with computer vision, machine learning, cameras, optics, lighting, image acquisition, sensor fusion, localization, tracking, or perception systems. * Preferred: experience with PCB and electronics design, wiring, hardware development, microcontrollers, embedded processors, edge platforms, embedded Linux, or other embedded OS. * Preferred: experience with Linux servers, industrial networking, protocols, databases, SQL, Docker, containers, virtualization, Git, CI/CD, DevSecOps, automated deployment, real-time systems, or HPC. * Preferred: experience in outdoor, industrial, transportation, railroad, or other demanding physical environments., Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics, a related engineering discipline, or equivalent relevant experience. ## Description * Design and integrate end-to-end systems spanning electrical, mechanical, embedded, software, networking, sensing, AI, and field infrastructure components. * Translate operational needs into architectures, requirements, interfaces, implementation plans, and integration strategies. * Integrate electronics, PCBs, embedded computers, cameras, sensors, networking equipment, servers, software, and AI models into deployed systems. * Identify risks, dependencies, and integration challenges. Troubleshoot failures across hardware, firmware, software, networking, sensing, AI, and field conditions. * Collaborate with solution architects, software engineers, data scientists, electrical engineers, IT and cybersecurity teams, DevSecOps, field personnel, and systems engineers. * Develop, configure, integrate, and troubleshoot embedded computing systems and hardware or software interfaces. * Write and maintain C++ and Python software, scripts, and tools for control, acquisition, communications, diagnostics, testing, configuration, deployment, and monitoring. * Analyze system behavior to isolate integration issues and performance bottlenecks across application, embedded, and system layers. * Support integration of machine learning and computer vision models with reliable sensor and image data capture, processing, and delivery. * Determine root causes of field performance issues across sensing, data quality, model performance, software, hardware, networking, or integration. * Design, integrate, and troubleshoot field-deployed electrical and electronic systems including power, sensors, communications, embedded computing, and PCBs. * Read schematics, PCB documentation, datasheets, drawings, and specifications. Select components per electrical, environmental, performance, and operational needs. * Integrate cameras, lenses, lighting, image acquisition, optics, sensors, and related equipment for machine vision and inspection. * Evaluate camera placement, mounting, field of view, resolution, exposure, lighting, image quality, environmental effects, and data suitability for computer vision and AI. * Design, configure, deploy, and troubleshoot servers, switches, routers, wireless equipment, edge platforms, IP networks, distributed communications, databases, cloud interfaces, and enterprise connections. * Develop practical solutions for environments with connectivity constraints and exposure to weather, vibration, temperature, and lighting. * Deploy, commission, validate, test, and troubleshoot systems in labs, test tracks, trackside locations, rail yards, maintenance facilities, and other railroad settings. * Analyze operational data, logs, sensor information, images, and diagnostics to assess performance and isolate failures. * Develop procedures and tools that simplify installation, configuration, testing, maintenance, troubleshooting, and deployment. * Apply engineering principles to track inspection, rolling stock inspection, train and car identification, rail-yard operations, automated monitoring, safety, maintenance, efficiency, and operational awareness. * Travel to field locations as needed. ## Related Videos - [Robots are coming into the wild! 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