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Model Predictive Control Jobs in Cincinnati, OH (NOW HIRING)

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Model Predictive Control information

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$52.8K

$92.7K

$125.7K

How much do model predictive control jobs pay per year?

As of Aug 22, 2026, the average yearly pay for model predictive control in Cincinnati, OH is $92,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,100.00 and $103,600.00 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 are popular job titles related to Model Predictive Control jobs in Cincinnati, OH?

For Model Predictive Control jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Model Predictive Control jobs in Cincinnati, OH look for?

The top searched job categories for Model Predictive Control jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Model Predictive Control jobs?

Cities near Cincinnati, OH with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control job openings in Cincinnati, OH as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,660 per year, or $44.5 per hour.

Director of Environmental Health-Safety

Baxters North America Inc

Cincinnati, OH • On-site

$120 - $180/hr

Other

Re-posted 15 hours ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Director of Environmental Health-Safety

Full Time Senior Management Cincinnati, OH, US

4 days ago Requisition ID: 2235

Scope of Job: The Director of EHS serves as the Baxters North America (BNA) leader for all aspects of environmental, health, safety, and security programs to ensure compliance with local, state, and federal regulations. This role develops and implements policies, procedures, and training to mitigate risks, promote a culture of safety, and ensure regulatory compliance. The position also oversees emergency preparedness, environmental sustainability, and workplace safety initiatives while supporting continuous improvement and operational excellence.

Essential Job Functions and Responsibilities:

  • Develop and execute enterprise-wide EHS, Security, and Sustainability strategy, aligning risk management, compliance, and operational excellence initiatives with organizational growth objectives across multiple manufacturing locations.
  • Architect and build the EHS organization from the ground up, defining structure, staffing model, talent strategy, succession planning, and performance management systems to support business expansion and long-term sustainability.
  • Serve as executive advisor to senior leadership, providing strategic guidance on regulatory risk, capital investments, safety culture transformation, business continuity, and ESG-related initiatives.
  • Lead multi-state regulatory compliance programs, ensuring adherence to OSHA, EPA, DOT, local environmental requirements, and corporate governance standards while minimizing legal, financial, and operational risk.
  • Establish enterprise risk management frameworks, utilizing data analytics, predictive indicators, and governance processes to proactively identify, prioritize, and mitigate operational and environmental risks.
  • Direct organizational safety culture transformation initiatives, integrating EHS principles into manufacturing, engineering, quality, supply chain, and continuous improvement systems to drive world-class safety performance.
  • Oversee environmental stewardship and sustainability programs, including waste reduction, emissions management, energy conservation, and resource optimization efforts that improv compliance and reduce operating costs.
  • Manage crisis preparedness, emergency response, and business continuity planning, ensuring organizational resilience through robust emergency management systems, training, and cross-functional leadership.
  • Lead development of EHS leadership talent and cross-functional capabilities, mentoring managers and specialists while establishing standardized processes, accountability systems, and best practice sharing across sites.
  • Own executive-level EHS performance reporting, presenting key risk indicators, compliance status, incident trends, and strategic improvement initiatives to executive leadership, board-level stakeholders, and regulatory agencies.
  • Collaborate with production and supporting departments to ensure the food safety and quality of our products.
  • Performs other duties as assigned.

Education:Bachelor’s degree required or Associate degree in Safety, Environmental Engineering, Industrial Hygiene/Safety, or related field. Certification preferred, such as Certified Safety Professional, Certified Hazardous Materials Manager, or EHS related.

Experience: 10+ years of experience in EHS or a related field within a manufacturing environment. 5 years of managerial experience. Strong working knowledge of material flow, manufacturing operations, and regulatory compliance. Proficiency in Microsoft Office and EHS software platforms. Experience working with internal and external stakeholders, including regulatory agencies.

Competencies: Environmental Health & Safety Management, Regulatory Compliance (OSHA, EPA, etc.), Risk Mitigation & Hazard Control, Safety Audits & Inspections, Emergency Preparedness & Response, Training & Staff Development, Environmental Assessments & Reporting, Communication & Presentation Skills, Problem Solving & Root Cause Analysis, Operational Excellence & Continuous Improvement, Accountability, Integrity, Initiative, and Time Management

Physical Requirements:While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel and talk or hear. The employee is frequently required to stand and walk. The employee is occasionally required to sit. The employee must occasionally lift and/or move up to 10 pounds. This position will also require climbing ladders and stairs. This individual must also be able to tolerate various temperature and weather extremes. Specific vision ability required by this job includes close vision, and ability to adjust focus.

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