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Model Predictive Control Jobs in Franklin, GA (NOW HIRING)

... predictive modeling to track machine health, product performance, etc. * Pro-actively seek out ... This could include PLC systems, control and communication networks, SCADA (server and standalone ...

This could include PLC systems, control and communication networks, SCADA (server and standalone ... predictive modeling to track machine health, product performance, etc. * Pro-actively seek out ...

Establish and execute preventive/predictive maintenance schedules for all operational robots (e.g ... Maintain software and firmware version control across all robotic assets to ensure system security ...

Model Predictive Control information

See Franklin, GA salary details

$49.1K

$86.2K

$116.9K

How much do model predictive control jobs pay per year?

As of Jul 7, 2026, the average yearly pay for model predictive control in Franklin, GA is $86,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $96,400.00 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 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 are the typical challenges faced by engineers working with Model Predictive Control (MPC) 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 (MPC) 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 cities near Franklin, GA are hiring for Model Predictive Control jobs? Cities near Franklin, GA with the most Model Predictive Control job openings:
PS P&E- Software Engineer

PS P&E- Software Engineer

Duracell

Lagrange, GA • On-site

Full-time

Posted 15 days ago


Job description


At this time, Duracell is unable to provide work authorization sponsorship for this position.
Duracell is an iconic brand and the world's leading manufacturer of high-performance alkaline batteries, power cells, and rechargeables. We are the most trusted source of personal power because of our sustained commitment to innovation, producing more compact, more powerful, and longer lasting batteries.
As the Industrial Technologies Manager, you will lead the technical organization responsible for industrial automation & digitization to achieve the necessary improvements to enable data driven decisions and automated analysis/predictions. The individual will foster an environment that enables collaboration between all affected parties including global and local P&E, IT, Ops, R&D and the users and designers of digitization tools or systems to drive digitization throughout the company via machine learning, data analysis/collection, MES/MOM/SCADA support and other innovative technology that eliminates losses while enhancing productivity and efficiencies and international travel is required, approximately 25-35%.
Responsibilities
At this time, Duracell is unable to provide work authorization sponsorship for this position.
  • Develop, sustain, and foster consensus on Industrial Technologies standards encompassing but not limited to dashboard, scoreboard and reporting designs, data collection, storage and retrieval methods, optimized table, view and procedure designs, diagnostic, predictive and prescriptive data analysis, and related applications.
  • Drive efforts toward an enhanced performance data landscape.
  • Lead the teams use in high-level programming languages to implement machine communication, perform data analysis, automate tasks, and support the organization as needed.
  • Build capability throughout the sites around existing and emerging industrial technologies.
  • Develop and implement standard solutions for collecting manufacturing/process data for use in predictive modeling to track machine health, product performance, etc.
  • Pro-actively seek out losses and improvement opportunities throughout the manufacturing plants.
  • Provide input from an industrial technologies point of view for the sites priorities and make sure these are understood by the rest of the leadership team.
  • Leverage the proper engineering and project management tools and work processes.
  • Pro-actively scout the external landscape for opportunities and represent Duracell as an attractive innovation partner.
  • In-depth understanding of the sites and all its departments (operations, process & engineering, IT, finance, ...) and work systems.
  • Technical understanding of the full technology pyramid and IT.
  • Able to translate technical challenges and opportunities for non-technical peers.
  • Strong conflict resolution skills thinking across organization boundaries.
  • Seeks out knowledge and can quickly grasp technical concepts and grow personal expertise.
  • Effectively leads in a team environment including the ability to communicate effectively, to build collaborative relationships, and to contribute to a healthy team culture.
  • Displays excellent written/oral communication skills.
  • Provides and receives honest and open feedback in a constructive manner.
  • Is analytical; uses sound judgement in decision making by basing decisions on factual information.
  • Shows personal initiative and drives for results to ensure engineering deliverables meet cost and schedule requirements.
  • Exhibits high level of integrity and directness/candor.
  • Meets deadlines regularly and works well in fast paced environment.
  • Quickly adapts to changing environments and business direction.
  • Flexible with work location as needed (home, office/plant, travel, etc.)

Qualifications
At this time, Duracell is unable to provide work authorization sponsorship for this position.
  • B.S. in Engineering with preferences for Computer or Electrical Engineering, Software Engineering, Information Systems Management, or Computer Science
  • 2+ years Controls or Information/Data Management Systems in a production environment preferably in a managerial role.
  • Preferred but not required:
    • Experience in a Network or IT Engineering position.
    • Experience with various ML learning techniques including neural networks, clustering, and classification.
    • Experience with automated controls technologies is not required but would be a bonus. This could include PLC systems, control and communication networks, SCADA (server and standalone) systems, PC based Integration software systems, VFD and servo drives, Robotics, vision systems, program and parameter-based instrumentation and other advanced sensor technologies.
  • This position will require domestic and international travel, up to 25% - 35%.

About Us
Duracell is the world's leading manufacturer and marketer of high-performance alkaline batteries, complemented by a portfolio of high quality, market leading specialty, rechargeable and professional batteries. Duracell's products power numerous critical professional devices across the globe such as heart rate monitors, defibrillators, telemetry devices, smoke detectors, fire alarms, automated valves and security systems. As the leader in the professional power category, Duracell has a rich history of innovation, continuously introducing batteries that are smaller, thinner, with more energy and longer lasting than competitive brands. Since March 2016, Duracell has found its permanent home within Berkshire Hathaway (ranked #4 World's Most Admired Companies by Fortune Magazine and #3 in the Fortune 500), and will continue to focus on sustainable growth, industry-leading innovation while creating long-term value for our customers and consumers. At Duracell, integrity, end-to-end accountability across all levels, fast decision-making and a "can do" attitude is highly valued.