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About the Role

Corning's Manufacturing, Technology and Engineering division (MTE) is seeking an Advanced Process Controls Engineer to improve manufacturing processes using cutting-edge controls, optimization, and machine learning technologies. This versatile role offers broad scope across Corning's diverse businesses, evolving from traditional control to complex model-based strategies and machine learning applications for continuous improvement.

Responsibilities

• 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 to model-based algorithms such as MPC and 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 workstreams 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.

Requirements

• 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.
• Ability to work in a manufacturing environment.
• Performs well on team initiatives and independent assignments; results-oriented with a track record of meeting commitments and managing time well.

Skills

• Familiarity with a diverse array of process controls technologies, including MPC and traditional PID control; practical PID loop tuning experience.
• Controls-oriented modeling and system identification.
• Foundation in numerical optimization (LP, NLP, MILP, convex optimization) and ability to formulate optimization problems from business and process logic.
• Programming experience in MATLAB/Simulink and Python.
• Background in machine learning classification and regression techniques.
• Strong problem-solving, verbal, written, and interpersonal skills; effective presenter to technical and non-technical audiences.
• Hands-on experience with MPC implementation, tuning, and maintenance.
• Experience with large-scale optimization solvers (e.g., Gurobi) and modeling languages (Pyomo, AMPL, PuLP, etc.).
• Multivariate statistical process control methods such as PCA and PLS regression.
• Experience operationalizing ML-driven models in manufacturing environments.
• Experience working with Git and version control systems.
• Experience working in cross-functional and global teams.
• Strong technical curiosity and desire to take on challenging technical problems.

Location

• Domestic and international travel up to 25%

Work Type

• Full-time

Experience Level

• 1-3 years

Education Level

• M.S. in Electrical, Mechanical, or Chemical Engineering (or related field)

Salary/Compensations

• $71,067.00 - $97,718.00

Benefits

• Company-wide bonuses and long-term incentives
• 100% company-paid pension benefit
• Matching contributions to 401(k) savings plan
• Medical, dental, and vision insurance
• Paid parental leave
• Family building support
• Fitness programs
• Company-paid life insurance
• Disability insurance
• Disease management programs
• Paid time off
• Employee Assistance Program (EAP)
• Recognition program

About the Company

• Corning is one of the world’s leading innovators in glass, ceramic, and materials science.
• Corning's technologies push the boundaries of what’s possible.
• 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.
• MTE anticipates & provides timely, valued, leading edge manufacturing technologies and engineering expertise.
• MTE partners with Corning’s businesses and the Science & Technology division to create and sustain Corning’s manufacturing as a differential advantage.

Equal Opportunity

• We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.
• Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws.
• Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.