Advanced Process Controls Engineer – MPC & ML

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The company built on breakthroughs. Join us.

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.

Come break through with us.

Corning’s businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with:

• Trusted products that accelerate drug discovery, development, and delivery to save lives
• Damage-resistant cover glass to enhance the devices that keep us connected
• Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
• Precision glass for advanced displays to deliver richer experiences
• Auto glass and ceramics to drive cleaner, safer, and smarter transportation
• Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

MT&E is seeking an Advanced Process Controls Engineer who believes cutting-edge controls, optimization, and machine learning (ML) can transform manufacturing and deliver competitive advantage. This is one of the most versatile technical roles at Corning, with broad scope across our businesses. The field is evolving from traditional single-input/single-output control toward 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 planning, scheduling, and ware flow.

Corning is also investing in machine learning for process monitoring, fault detection, defect classification, and predictive maintenance

• Design, develop, and implement controls solutions for manufacturing processes within 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 across the organization.
• Build and improve large-scale optimization models (LP, NLP, MILP) for production planning and scheduling, translating business and process logic into objectives and constraints.
• Partner with manufacturing to define appropriate hardware and software platforms and implement solutions in existing PLC/DCS environments.
• Work with subject matter experts and apply data analytics and ML to deepen process understanding and surface control or optimization opportunities.
• Apply multivariate statistics and ML to fault diagnosis and isolation, defect classification, and predictive maintenance.
• Lead projects in a research, development, and engineering environment; write proposals to initiate new work.
• Facilitate transfer of new technologies into manufacturing and train manufacturing and engineering personnel.
• Generate intellectual property through technical reports, invention disclosures, and patents.

• Must be available for significant travel, primarily domestic, to multiple locations to support business needs. International travel could be required as well. Travel up to 25%

• M.S. or PhD in Electrical, Mechanical, or Chemical Engineering (or a related field) with coursework in Advanced Controls, Optimization, or Data Analytics. PhD highly preferred
• 1–5 years of industry experience on manufacturing processes. New graduates with related internship experience will be considered.

• Working knowledge of process…