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Model Predictive Control Jobs in Lansing, MI (NOW HIRING)

Lead Bridge Engineer

Lansing, MI · On-site

$91K - $120K/yr

Ability to provide close coordination with others on the project as well as independent QC/QA ... predictive models, spreadsheets, and tools * Proven track record of upholding workplace safety and ...

Lead Bridge Engineer

Lansing, MI

$91K - $120K/yr

Ability to provide close coordination with others on the project as well as independent QC/QA ... predictive models, spreadsheets, and tools * Proven track record of upholding workplace safety and ...

Model Predictive Control information

See Lansing, MI salary details

$55.8K

$98K

$132.9K

How much do model predictive control jobs pay per year?

As of Aug 9, 2026, the average yearly pay for model predictive control in Lansing, MI is $97,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $109,500.00 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 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 are popular job titles related to Model Predictive Control jobs in Lansing, MI? For Model Predictive Control jobs in Lansing, MI, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Lansing, MI look for? The top searched job categories for Model Predictive Control jobs in Lansing, MI are:
Infographic showing various Model Predictive Control job openings in Lansing, MI 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 $97,952 per year, or $47.1 per hour.

Senior Execution Engineer - Material Flow & Robotics

General Motors

Lansing, MI

$106K - $145K/yr

Full-time

Posted 4 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,272 frontline employees who took The Breakroom Quiz


Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

We are seeking a Senior Execution Engineer - Material Flow & Robotics Deployment to join AMD within the Manufacturing Systems Design and Deployment organization. In this role, you will lead the execution of advanced automation solutions that improve material flow, reduce waste, and increase operational efficiency across manufacturing environments.

You will work across engineering, operations, plant teams, and strategic suppliers to identify, develop, and deploy innovative automation technologies, including AMRs, AFTs, ASRS, and advanced kitting and sequencing systems. This role requires strong technical leadership, project execution, and cross-functional collaboration from concept through launch.

What You'll Do

  • Lead the deployment of automation technologies, including AMRs, AFTs, ASRS, and kitting/sequencing systems, across manufacturing operations

  • Identify and evaluate automation opportunities in partnership with AMD Solutions Teams to improve efficiency, reduce waste, and strengthen material flow performance

  • Conduct labor studies using GMOS and partner with Assembly Plant Industrial Engineers to analyze indirect material movement and quantify automation impact

  • Define unit counts, routes, and commodity flow requirements based on operational and plant needs

  • Support layout reviews and process optimization through simulation, modeling, and data analysis

  • Collaborate with AMD Simulation and Solutions Teams from project purchase order through execution and launch

  • Design future-state material flow strategies and automation roadmaps aligned to plant and business objectives

  • Develop executable automation strategies with clear timing, cost, and implementation plans

  • Partner with Material Execution Leads, Manufacturing Innovation Teams, and Engineering Center Leads to drive continuous improvement initiatives

  • Work directly with strategic suppliers and plant partners to develop, implement, and scale automation solutions

  • Resolve deployment challenges related to containerization, logistics, and GPSC coordination to ensure successful execution

  • Perform feasibility studies, cost-benefit analyses, and ROI assessments for proposed automation projects

  • Collaborate with Product Engineering, Manufacturing Operations, IT, and other internal stakeholders to ensure seamless system integration

  • Develop and manage PMP plans, PCP assignments, JES/TIS revisions, and ULOC/DLOC and CMA documentation

Your Skills & Abilities (Required Qualifications)

  • 5+ years of experience in automotive manufacturing, automation deployment, material flow engineering, or a related field

  • Hands-on experience deploying and integrating automation technologies such as:

    • Autonomous Mobile Robots (AMRs) with fleet management systems

    • Automated Fork Trucks (AFTs) with safety-rated navigation and control systems

    • Automated Storage and Retrieval Systems (ASRS) with warehouse control software

  • Experience using labor analysis tools to conduct indirect labor studies and quantify the impact of automation on material movement within a plant

  • Experience with layout optimization and simulation tools such as AutoCAD, Siemens Tecnomatix, or FlexSim to evaluate and improve material flow paths

  • Working knowledge of PLC programming, robotic cell integration, and industrial communication protocols such as OPC UA, Modbus, and Ethernet/IP

  • Ability to develop and manage PMP plans, PCP assignments, and operational documentation, including JES/TIS revisions, ULOC/DLOC, and CMA coordination

  • Strong analytical skills with experience conducting feasibility studies, cost-benefit analyses, and ROI modeling for automation projects

  • Demonstrated ability to lead cross-functional teams and resolve deployment issues involving material flow, containerization, and logistics

  • Bachelor's degree in Mechanical Engineering, Industrial Engineering, Robotics, or a related technical field, or equivalent experience

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Experience with digital twin modeling, simulation environments, or virtual commissioning of automation systems

  • Familiarity with Factory of the Future concepts, including AI-driven material flow, predictive analytics, and smart warehousing

  • Experience supporting launch planning in unionized manufacturing environments, including safety integration and ergonomic assessments

  • Knowledge of robotic safety standards and protocols such as ANSI/RIA R15.06 and ISO 10218 for collaborative and autonomous systems

  • Experience partnering with external automation vendors and system integrators to co-develop custom material handling solutions

  • Proficiency with data visualization tools such as Power BI or Tableau to track KPIs and communicate automation performance

  • Demonstrated success operating in fast-paced, high-variability manufacturing environments and driving innovation through ambiguity

#LI-MH1

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis. The selected candidate will be required to travel on a regular basis (25-50%) for this role. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908