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Model Predictive Control Jobs in Ohio (NOW HIRING)

MRINetwork Jobs

Senior Software Engineer - Robotics

Columbus, OH · On-site

$118K - $156K/yr

Strong depth in one or more areas such as whole-body or model-predictive control, perception and sensor fusion, motion planning, manipulation, or collision modeling. * Advanced proficiency in C++ and ...

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Munich Re

Data Scientist, AI

Akron, OH · On-site +1

We focus on developing and maintaining predictive models that support all domains across the ... version control, and agile frameworks using tools like Azure DevOps. Skills / Knowledge ...

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Model Predictive Control information

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 are popular job titles related to Model Predictive Control jobs in Ohio? For Model Predictive Control jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Ohio look for? The top searched job categories for Model Predictive Control jobs in Ohio are:
What cities in Ohio are hiring for Model Predictive Control jobs? Cities in Ohio with the most Model Predictive Control job openings:
Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Ohio as of July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% In-person job distribution.
Senior Software Engineer - Robotics

Senior Software Engineer - Robotics

MRINetwork Jobs

Columbus, OH • On-site

$118K - $156K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago

Job description

Are you a forward-thinking engineer, read to step into a Senior Robotics Software Engineer role with our premier client? In this position, you will shape and evolve the foundational software architectures that drive safe, dependable, and intelligent behavior across our robotic systems. You will play a central role in designing and building the underlying software platform that supports advanced functions such as kinematics, perception, sensor fusion, and control. Your work will directly enable responsive, capable robotic systems that operate alongside patients and support clinicians in real-world medical environments. This is a high-impact opportunity to work at the intersection of robotics and healthcare. And you'll be at the forefront of all of it! 

What You’ll Do - Robotics of Course! 

  • Own the technical direction and execution of the end-to-end robotics software stack, including planning, state estimation, sensor fusion, manipulation, whole-body control, and safety systems.
  • Develop clean, well-structured, and well-documented code that can be easily understood, extended, and maintained by others.
  • Integrate perception, planning, and control pipelines to ensure reliable robot behavior in complex, partially structured environments.
  • Design and evolve software frameworks that emphasize modularity, scalability, and reuse across multiple robot platforms and hardware configurations.
  • Partner closely with hardware, systems, product, and applications teams to define system capabilities, performance targets, and delivery milestones.
  • Set a high bar for quality, robustness, and real-time performance, especially in safety-critical contexts. Establish technical standards and development practices that balance rapid progress with long-term sustainability.
  • Contribute to and help cultivate a collaborative, high-performing engineering culture.
  • Track advances in robotics, autonomy, controls, and AI, and proactively assess opportunities to introduce new technologies where they add clear value.
  • Coach and mentor other robotics software engineers, supporting both their technical growth and career development.

About You

  • Bachelor’s degree or higher in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related field.

  • 5+ years of experience delivering production-grade robotics / automation software, ideally with real-world deployments, or equivalent experience through advanced academic work.

  • Strong depth in one or more areas such as whole-body or model-predictive control, perception and sensor fusion, motion planning, manipulation, or collision modeling.

  • Advanced proficiency in C++ and Python, with hands-on experience building and deploying complex robotic systems using ROS2.

  • Demonstrated success working across disciplines to deliver tightly integrated hardware-software systems.

  • Clear communicator with the ability to collaborate effectively and present technical concepts to senior stakeholders.

  • Deep motivation to build technology that has meaningful, real-world impact.

  • Brings energy, ownership, focus, and intrinsic drive to demanding engineering challenges.

  • Authorized to work in the United States on an indefinite basis.

Bonus Points

  • Experience delivering robotics systems in medical, manufacturing, or other semi-structured domains, ideally robotic arm applications
  • Familiarity with Medical compliance and/or medical device product development
  • Prior leadership in building and maintaining safety-critical or real-time software systems.
  • Familiarity with functional safety practices and certification.

Benefits

  • Equity: Company stock options.
  • Insurance Coverage: medical, dental, and vision insurance available
  • Unlimited PTO and a full winter shutdown
  • Relocation Assistance: Relocation assistance is available to move you near facility in the Columbus, OH area

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