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Model Predictive Control Jobs in New Rome, OH (NOW HIRING)

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Model Predictive Control information

See New Rome, OH salary details

$51.7K

$90.8K

$123.1K

How much do model predictive control jobs pay per year?

As of Jul 27, 2026, the average yearly pay for model predictive control in New Rome, OH is $90,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $101,500.00 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 New Rome, OH are hiring for Model Predictive Control jobs? Cities near New Rome, OH with the most Model Predictive Control job openings:
Model Predictive Control jobs near you
Robotics Algorithms Engineer, Manipulation & Control

Robotics Algorithms Engineer, Manipulation & Control

Path Robotics

Columbus, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Build the Path Forward
At Path Robotics, we're attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.
We are building an elite robotics team to solve real-time, high-accuracy manipulation - making a robot arm and end-effector do precise physical work in the real world, from live sensor feedback, on platforms that are never perfectly calibrated. We are looking for an exceptional hands-on engineer to own the control-and-estimation heart of that system: the closed loop that turns what the robot senses into accurate motion, in real time, robustly, on real hardware - and to set its technical direction as it grows.
What you'll do
  • Own the real-time closed loop from sensing to motion, hands-on: state estimation, feedback and predictive control, and the correction of end-effector trajectories to hit accuracy targets under uncertainty, noise and latency.
  • Make hard, honest engineering calls about what can and cannot be estimated from the available sensing, and design systems that know their own uncertainty and fail safely.
  • Build robust hard-real-time software that runs reliably on physical robots, not just in simulation.
  • Set the technical direction toward learning-based and whole-body control.

Who You Are
  • Deep, first-principles real-time control and state estimation - model-predictive control, Kalman/particle/moving-horizon estimation, observability analysis.
  • Manipulation robotics - arm kinematics and dynamics, trajectory generation and correction, coordinate frames, hand-eye and extrinsic calibration.
  • Sensor-guided motion / visual servoing - closed perception-to-control loops on real hardware (vision- or sensor-guided manipulation)
  • Track record of real-time robotic systems, built and run on hardware.
  • Depth in robot perception - geometric/model-based vision, 3D sensing, point-cloud registration, calibration - to define what your control loop needs from perception and to reason about how perception error propagates into motion.
  • Modern, production C++ for real-time systems.
  • ROS / ROS 2 and the discipline of hard-real-time software - deterministic loops, timing budgets, buffered concurrency, thread-safety, debugging on real hardware.
Why You'll Love It Here
  • Daily free lunch to keep you fueled and connected with the team
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6-8 weeks for birthing parents (12-14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses-help us grow our team!
Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

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