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Model Predictive Control Jobs in New Albany, IN (NOW HIRING)

Develop and correlate analytical models with physical test data to ensure accuracy and predictive ... Expertise in non-linear solution strategies, convergence control, contact stabilization, and solver ...

Develop and correlate analytical models with physical test data to ensure accuracy and predictive ... Expertise in non-linear solution strategies, convergence control, contact stabilization, and solver ...

Develop and correlate analytical models with physical test data to ensure accuracy and predictive ... Expertise in non-linear solution strategies, convergence control, contact stabilization, and solver ...

New

Develop and correlate analytical models with physical test data to ensure accuracy and predictive ... Expertise in non-linear solution strategies, convergence control, contact stabilization, and solver ...

Traffic Engineer

Jeffersonville, IN · On-site

$83K - $113K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... modeling and forecasting, corridor planning, traffic signal operations, signal and ITS design ... Prepare designs of traffic control devices and systems, including traffic signals, signing ...

Traffic Engineer

Jeffersonville, IN · On-site

$83K - $113K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... modeling and forecasting, corridor planning, traffic signal operations, signal and ITS design ... Prepare designs of traffic control devices and systems, including traffic signals, signing ...

Traffic Engineer

Louisville, KY · On-site

$83K - $113K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... modeling and forecasting, corridor planning, traffic signal operations, signal and ITS design ... Prepare designs of traffic control devices and systems, including traffic signals, signing ...

AI Solutions Engineering Delivery Lead

Louisville, KY · On-site

$98K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will work on developing predictive models, conducting statistical analysis, and creating data ... control and continuous improvement of AI solutions, closely collaborating with business ...

... control, and status reporting with clear key performance indicators, value realization, and ... Orchestrating cross-functional teams and vendors across onshore and offshore models; aligning ...

Successful employees embrace and model these values in their behaviors and actions. The Plant ... Control spare-parts and inventory investment, working capital, and open commitments within ...

Chief Engineer

Louisville, KY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... models, sub-metering, budgeting, variances as directed by Management and/or Leadership. • Conduct ... and predictive maintenance program for task scheduling, routines, and performance. Program to ...

Chief Engineer

Louisville, KY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... models, sub-metering, budgeting, variances as directed by Management and/or Leadership. • Conduct ... and predictive maintenance program for task scheduling, routines, and performance. Program to ...

Model Predictive Control information

See New Albany, IN salary details

$50.9K

$89.4K

$121.2K

How much do model predictive control jobs pay per year?

As of Aug 14, 2026, the average yearly pay for model predictive control in New Albany, IN is $89,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $99,900.00 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 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 cities near New Albany, IN are hiring for Model Predictive Control jobs?

Cities near New Albany, IN with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control job openings in New Albany, IN 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 $89,361 per year, or $43 per hour.

Principal Product Engineer - FEA

Samtec

New Albany, IN • On-site

$90 - $120/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Samtec rating

9.1

Company rating: 9.1 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

5th of 157 rated electronics manufacturers


Job description

EngineeringNew Albany,IndianaMechanicsburg,PennsylvaniaUnited States

Description

Founded in 1976, Samtec is a privately held, $1 Billion global manufacturer of a broad line of electronic interconnect solutions, including High-Speed Board-to-Board, High-Speed Cables, Mid-Board and Panel Optics, Precision RF, Flexible Stacking, and Micro/Rugged components and cables. Samtec Technology Centers are dedicated to developing and advancing technologies, strategies and products to optimize both the performance and cost of a system from the bare die to an interface 100 meters away, and all interconnect points in between. With 40+ international locations and products sold in more than 125 different countries, Samtec’s global presence enables its unmatched customer service.

Summary/Objective: The Principal Product Engineer – FEA leads advanced structural and thermal analyses for complex mechanical systems. This role emphasizes deep expertise in finite elements analysis (FEA), particularly non-linear behavior, shock, vibration, creep, thermal loading, and stress relaxation phenomena. The engineer will serve as a subject matter expert and guide design teams within New Product or Sustaining Product Engineering ensuring compliance with demanding environmental and performance requirements.

Essential Functions/ Responsibilities:

  • Lead and perform complex finite element analysis (FEA) studies using industry standard tools (e.g., ANSYS Mechanical, LS-DYNA) for static, dynamic, shock, vibration, and thermo-mechanical loading across components and assemblies.
  • Lead simulation-driven studies and analytical Design of Experiments (DOE) to quantify sensitivity to geometry, materials, process parameters, and boundary conditions.
  • Multi-step, history-dependent mechanical and thermo-mechanical loading, including manufacturing and assembly load sequences, across components and assemblies.
  • Analyze and predict fatigue, damage accumulation, and long-term reliability using physics-based metrics such as strain energy density, stress/strain range, and time and force dependent deformation behavior.
  • Utilize simulation to evaluate material behavior in metals, polymers, and composite materials to inform design and material selection.
  • Serve as a subject matter expert for advanced mechanics, structural integrity, and reliability of mechanical assemblies and systems.
  • Conduct coupled thermo-mechanical simulations to evaluate creep, thermal fatigue, and long-term material deformation under sustained loads.
  • Develop, implement, and validate advanced material models including viscoelastic, creep, and stress relaxation behavior, particularly at elevated temperatures.
  • Develop and correlate analytical models with physical test data to ensure accuracy and predictive capability.
  • Provide technical mentorship for simulation engineers and lead standardization of FEA workflows, best practices, and analysis templates.
  • Partner closely with cross-functional teams to ensure robust, manufacturable solutions that meet customer requirements.
  • Communicate analytical findings effectively in design reviews, technical reports, and presentations to internal and external customers.
  • Work effectively across multiple projects and priorities in a demanding environment.

The responsibilities as defined are intended to serve as a general guideline for this position. Employees may be asked to perform additional tasks depending on strengths and capabilities.

Required Experience:

  • 10+ years of experience conducting structural analysis using commercial FEA tools, with experience using advanced techniques such as shock, vibration, and coupled thermo-mechanical FEA.
  • Deep understanding of mechanics, dynamic response, and material behavior (including creep, stress relaxation, and fatigue).
  • Expert with commercial FEA tools and design software (e.g., ANSYS, Abaqus, Nastran, SolidWorks).
  • Proven expertise in modeling complex mechanical systems, encompassing contact, anisotropic materials such as fiber-filled plastics, and nonlinear modeling. Skilled in coupled thermo-mechanical modeling, including analyses of creep, thermal loading, and stress relaxation. Experienced in shock, vibration, and reliability modeling and qualification of mechanical systems.
  • Expertise in non-linear solution strategies, convergence control, contact stabilization, and solver selection for complex problems.
  • Proven record of accomplishment interpreting complex simulation results and influencing engineering decisions and product design.
  • Must be able to manage multiple projects simultaneously as priorities can change quickly.
  • Excellent technical communication (written and verbal) and experience interfacing with customers, multidisciplinary engineering teams, and non-technical stakeholders.
Preferred Experience:
  • Experience within electronic, defense, aerospace, energy, or high reliability industrial fields.
  • Knowledge and experience with manufacturing processes such as cold rolling, stamping, and injection molding and their impact on structural performance.
  • Experience with product test plan development and correlation of simulation results to test data.
  • Knowledge and experience with material testing and characterization methods (e.g., DMA, TMA, Stress Relaxation).
  • Leadership experience in mentoring engineers and driving improvements in analytical processes and methodologies.
  • Experience automating analysis workflows and post-processing using scripting or custom tools.
Education:
  • Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, Materials Science or equivalent is required.
  • Master’s degree or PhD is highly desirable but not required.

SAMTEC, Inc. is an Equal Opportunity Employer and committed to creating a diverse environment. All employment decisions at Samtec are based in business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, pregnancy or parental status, age, disability, sexual orientation, gender and/or gender identity/expression, marital status, past or present military service, family medical history or genetic information, or any other status protected by applicable laws.Privacy Policy: https://www.samtec.com/about/legal/#privacyrightspage

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About SAMTEC

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

New Albany, IN, US

Year founded

1976

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