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Model Predictive Control Jobs in Savona, NY (NOW HIRING)

Corning

Engineer I & II

Painted Post, NY

... 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 ...

Corning

Engineer I & II

Painted Post, NY

... 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 ...

All JobsModel Predictive Control JobsModel Predictive Control Jobs in Savona, NY

Model Predictive Control information

See Savona, NY salary details

$46.5K

$81.7K

$110.8K

How much do model predictive control jobs pay per year?

As of Sep 3, 2026, the average yearly pay for model predictive control in Savona, NY is $81,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $91,300.00 per year, depending on experience, location, and employer.

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

What cities near Savona, NY are hiring for Model Predictive Control jobs?

Cities near Savona, NY with the most Model Predictive Control job openings:

Model Predictive Control jobs near you

Engineer I & II

Corning

Painted Post, NY

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Corning rating

8.3

Company rating: 8.3 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

66th of 545 rated manufacturers

Job description

Requisition Number: 77349

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 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.

Role Purpose

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 reach between 7% and 12% of your pay, depending on your age and years of service.
    • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.  
    • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. 
     

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.

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