Engineer I & II

Requisition Number: 77349

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Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.

How do we do this? With our people. They break through limitations and expectations– not once in a career, but every day. They help move our company,and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

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Corning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering excellence & innovative manufacturing technologies by providing diverse skills to Corning’s existing & emerging businesses.

We anticipate & provide timely, valued, leading edge manufacturing technologies and engineering expertise. We partner with Corning’s businesses and the Science & Technology division. Together we create and sustain Corning’s manufacturing as a differential advantage.

MT&E is seeking an Advanced Process Controls Engineer who believes that cutting-edge controls, optimization, and machine learning technologies can improve manufacturing processes to deliver competitive advantage. This is one of the most versatile technical roles within Corning, with broad scope across the wide variety of processes in Corning's businesses. The field of process controls is evolving from traditional single-input/single-output sensing and control to complex multi-input/multi-output problems that call for model-based strategies, most notably model predictive control (MPC), and large-scale numerical optimization for production scheduling, ware flow, and supply chain.

In parallel, Corning is investing in machine learning for continuous improvement; the engineer will apply ML methods to process monitoring, fault detection, defect classification, and predictive maintenance.

• Design, develop, and implement process controls solutions for manufacturing processes, working in multi-disciplinary teams.
• Evaluate existing control strategies and propose enhancements, from PID improvements (cascade, feed forward, gain-scheduling, loop pairing) to model-based algorithms such as MPC and internal model control (IMC).
• Develop and maintain MPC-based solutions for assigned processes, including formulation of the underlying optimization problems.
• Build and improve large-scale optimization models (LP, NLP, MILP) for production planning and scheduling.
• Partner with manufacturing to define appropriate hardware and software platforms and implement solutions in existing PLC/DCS environments.
• Develop in-depth knowledge of processes with subject matter experts; apply data analytics and machine learning to gain fundamental process understanding and identify control/optimization opportunities.
• Apply multivariate statistical methods and machine learning to process monitoring, fault diagnosis and isolation, defect classification, and predictive maintenance.
• Translate business processes and workflow logic into mathematical models, objective functions, and constraints.
• Plan and execute assigned tasks and work streams in a research, development, and engineering environment; contribute to proposals for new controls and optimization projects.
• Support the transfer of new technologies into manufacturing and share knowledge with manufacturing and engineering personnel.
• Generate intellectual property through technical reports, invention disclosures, and patent applications.

• Domestic and international travel up to 25%, depending on active projects.

• M.S. in Electrical, Mechanical, or Chemical Engineering (or related field) with coursework in Advanced Controls, Optimization, or Data Analytics.
• 1–3 years of industry experience on manufacturing processes. New graduates with related internship experience will be considered.

• Familiarity with a diverse array…