Railroad Systems Engineer — Embedded, AI & Vision

Open Systems Inc.; Atlanta (GA); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Open Systems Inc. seeks a hands-on Systems Engineer to design, integrate, deploy, and support complex railroad technology systems. Our solutions combine electrical hardware, embedded computing, software, cameras, sensors, networking, AI, and edge platforms for machine vision and autonomous inspection.

This role bridges hardware, software, data science, solution architecture, field operations, and customer needs to ensure the complete system works reliably in real-world railroad environments.

Qualifications

• Bachelor's degree in Engineering or related field.
• Experience with complex hardware/software systems.
• Proficiency in C++ and Python.
• Ability to troubleshoot across hardware, software, networking, and field equipment.
• Knowledge of electrical fundamentals and IP networking.
• Experience with machine vision, robotics, or railroad systems preferred.

Responsibilities

• Design and integrate complete systems spanning electrical, mechanical, embedded, software, networking, sensing, AI, and field infrastructure components.
• Translate operational needs into architectures, requirements, interfaces, and integration plans.
• Integrate electronics, PCBs, embedded computers, cameras, sensors, networking, servers, software, and AI models into deployed systems.
• Identify risks and troubleshoot failures across hardware, firmware, software, networking, and field conditions.
• Collaborate with solution architects, software engineers, data scientists, and field personnel.

Skills

C++

Python

Embedded systems

Electrical fundamentals

IP networking

Machine vision

AI

Robotics

Education

Bachelor's degree in Engineering

Tools

Linux

PCB design

Job description

Open Systems Inc. seeks a hands-on Systems Engineer to design, integrate, deploy, and support complex railroad technology systems. Our solutions combine electrical hardware, embedded computing, software, cameras, sensors, networking, AI, and edge platforms for machine vision and autonomous inspection.

This role bridges hardware, software, data science, solution architecture, field operations, and customer needs to ensure the complete system works reliably in real-world railroad environments.