Simulation Software Engineer Internship Jobs in Rocky Mount, NC

Job Title : Control Engineer
Job Type : Contract
Location : Rocky Mount ( Day 1 Onsite )
Note : 10+ years of experience
Job Description:
Assist in developing and designing control systems.
Aid in the development and execution of bench tests.
Modify software and equipment to ensure proper functioning of sensors and actuators.
Provide support and troubleshooting for basic issues and change requests.
Assist in preparing cost estimates, compiling necessary cost and equipment information, and drafting appropriation requests.
Investigate project problems and requirements, develop solution plans in alignment with economic, personnel, and environmental considerations for review by more experienced Controls Engineers or Controls Engineering Manager.
Potentially oversee the installation and technical support of Programmable Logic Controller (PLC) based hardware and software.
Key Competencies:
Collaboration: Building partnerships and working collaboratively to achieve shared objectives.
Effective Communication: Developing and delivering communications that convey a clear understanding to diverse audiences.
Controls Engineering Knowledge: Applying controls hardware and software application by specifying, reviewing, and approving designs for new or upgrades to existing equipment.
Controls Networking: Implementing technologies to transfer information within local production processes or into databases for operational enhancements.
Controls Safety: Recognizing and addressing controls-related hazards in manufacturing environments to ensure safety protocols.
Electrical System Troubleshooting: Analyzing electrical control systems to resolve issues and restore proper operation.
Factory Automation and Control Systems: Implementing changes to automate manufacturing processes using technology and programming techniques.
Manufacturing Analysis Led Design: Using digital tools to model and simulate manufacturing processes, equipment, and performance for data-driven decisions and continuous improvement.
Manufacturing Prognostics: Applying prognostics techniques to predict and prevent equipment downtime.
Controls System Security: Developing and implementing control system security measures to ensure manufacturing controls and systems are secure.
Sensor Technology and Measurement: Selecting and applying sensor technology for accurate measurements and analysis.
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