Job Description
Job DescriptionWe Are Looking for a LVL 2 Automation Engineer for Our Team Job Description
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Develop, maintain, and validate physics-based models used to configure and optimize manufacturing processes.
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Apply fundamental physics, calculus, and differential equations to model machine behavior and improve process performance.
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Support the setup and commissioning of control systems, including servers, operator HMIs, and fiber-optic control networks.
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Oversee and verify the installation, integration, and communication of automation equipment and control systems.
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Establish and troubleshoot PLC-to-PLC communications for data collection and PLC-to-field communications for operator HMIs.
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Collect, process, and manage sensor data through databases to support physics models and machine learning applications.
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Use C#, SQL, and Oracle to support data management, system integration, and model development.
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Analyze process data and machine performance to ensure accurate data collection, reliable models, and continuous improvement.
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Work closely with the quality and metallurgy departments to ensure equipment performance meets product specifications and process requirements.
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Support the commissioning and production ramp-up phase, with responsibilities transitioning toward process optimization, KPI monitoring, maintenance, and ongoing system improvement.
Job Requirements
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Bachelor's degree in Mechanical Engineering, Chemical Engineering, Computer Science, Software Engineering, or a related field.
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At least one co-op experience in a manufacturing environment involving physics, modeling, software, or networking.
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Strong foundational knowledge of physics, calculus, and differential equations.
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Ability to apply mathematical and physical principles to real-world manufacturing processes.
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Understanding of control system setup, industrial automation, servers, operator HMIs, and network infrastructure.
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Familiarity with PLC-to-PLC and PLC-to-field communications, data acquisition, and control system integration.
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Experience or familiarity with C#, SQL, and Oracle databases.
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Ability to collect, organize, analyze, and validate sensor data used in physics-based models.
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Strong analytical, troubleshooting, and problem-solving skills.
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Ability to collaborate with engineering, automation, production, and quality teams in a commissioning and manufacturing environment.