> Markdown version of [/jobs/ext/4442359-automation-systems-engineer](https://www.wearedevelopers.com/jobs/ext/4442359-automation-systems-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Automation Systems Engineer - **Company:** Accelera Corporation - **Location:** Apple Grove, WV, United States - **Salary:** $148,200.0 - $205,920.0 - **Contract:** Internship / Graduate position - **Skills:** C Sharp (Programming Language), Communications Protocols, Decision Support Systems, Machine Learning, Network Architecture, Oracle (Applications), Software Engineering, SQL Databases, Data Streaming, Systems Integration, Information Technology, Database Tools and Utilities - **Published:** October 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=59f072d9de3890e5 ## About the Role * Bachelor's degree in Mechanical Engineering, Computer Science, Software Engineering, or a related technical field. * Proven ability to apply calculus, differential equations, and physics principles to industrial environments. * Hands-on experience with industrial automation, control system architecture, and network infrastructure. * Proficiency in C#, SQL, and database management for data-driven decision making. * Strong analytical mindset with a focus on troubleshooting complex system integrations., * Prior experience in a manufacturing setting, such as through co-ops or internships, involving modeling or software development. * Familiarity with PLC communication standards and HMI configuration. * Demonstrated success in collaborative environments working alongside production and quality engineering teams. ## Description * Develop and validate physics-based models to enhance manufacturing process precision and machine performance. * Lead the commissioning of advanced control systems, including server infrastructure, HMI interfaces, and fiber-optic networking. * Architect and troubleshoot robust PLC-to-PLC and PLC-to-field communication protocols to ensure seamless data flow. * Manage large-scale sensor data pipelines using SQL and Oracle to fuel machine learning and predictive modeling initiatives. * Collaborate with cross-functional teams to align equipment output with strict quality and metallurgical standards. * Drive continuous improvement by analyzing machine performance data and refining control logic during production ramp-ups. * Utilize C# and database management tools to build scalable software solutions for system integration.