Advanced Process Controls Engineer: MPC & Optimization

Corning is a leading innovator in glass, ceramic, and materials science, advancing technologies from ocean depths to space. Role Purpose MT&E is seeking an Advanced Process Controls Engineer who believes cutting‑edge controls, optimization, and machine learning can transform manufacturing and deliver competitive advantage. This versatile technical role spans Corning’s businesses and requires expertise in model‑based strategies such as model predictive control (MPC) and large‑scale numerical optimization for production planning, scheduling, and workflow. Key Responsibilities Design, develop, and implement controls solutions for manufacturing processes within multi‑disciplinary teams. Evaluate existing control strategies and propose enhancements, from PID improvements (cascade, feedforward, 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 machine learning to deepen process understanding and surface control or optimization opportunities. Apply multivariate statistics and machine learning 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. Travel Requirements Available for significant domestic travel and occasional international travel, up to 25% of total work time. Experiences / Education – Required M.S. or Ph.D. in Electrical, Mechanical, Chemical Engineering, or related field, with coursework in Advanced Controls, Optimization, or Data Analytics. Ph.D. highly preferred. 1–5 years of industry experience on manufacturing processes; new graduates with relevant internship experience considered. Required Skills Working knowledge of process control technologies, including MPC and PID; practical PID loop tuning experience. Controls‑oriented modeling and system identification. Grounds control design in process‑first principles (heat/mass transfer, fluid dynamics, kinetics). Foundation in numerical optimization (LP, NLP, MILP, convex optimization) and ability to formulate problems from business and process logic. Programming experience in MATLAB/Simulink and Python. Familiarity with machine learning classification and regression techniques. Strong problem‑solving skills and clear written and verbal communication for technical and non‑technical audiences. Comfortable working in a manufacturing environment. Self‑directed and collaborative; delivers on commitments. Desired Skills Hands‑on experience implementing, tuning, and maintaining MPC. Experience with large‑scale optimization solvers (e.g., Gurobi) and modeling languages (Pyomo, AMPL, PuLP). Multivariate statistical process control methods such as PCA and PLS regression. Experience operationalizing machine‑learning‑driven models in manufacturing. Git and version control. Experience leading cross‑functional and global teams. Strong technical curiosity and appetite for hard technical problems. Compensation This position supports immigration sponsorship. The range for this position is $88,834.00 – $122,148.00, assuming full‑time status. Starting pay is dependent on a variety of job‑related factors. Benefits Company‑wide bonuses and long‑term incentives aligned with key business results. 100% company‑paid pension benefit with fixed contributions that grow; retirement contributions can reach 7%–12% of pay, depending on age and service. Health and wellness benefits including medical, dental, vision, paid parental leave, family building support, fitness, life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP). Recognition program to celebrate successes and reward colleagues for exceptional contributions. EEO Statement 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 a reasonable accommodation related to disability or religion, please contact accommodations@corning.com. #J-18808-Ljbffr