Engineer, Advanced Process Controls

Engineer, Advanced Process Controls

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.

Key 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 (cascade, feedforward, 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 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.

• Travel Requirements

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

• Education/Experience - Required

• 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.

• Required 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.

• 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.

• Desired Skills

• 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.

• This position supports immigration sponsorship.

• The range for this position is $71,067.00 - $97,718.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.

• A job that shapes a life.

• Corning offers you the total package.

• Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

• Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.

• As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning’s total contributions to your retirement accounts can rise.