1

Model Predictive Control Jobs in Michigan (NOW HIRING)

Corrective, preventative, and predictive maintenance on industrial manufacturing equipment and/or ... Demonstrates role model behavior for safety, integrity and ethical standards. * Ensure all work ...

Correlate simulation results with real-world on-road data, refining models to improve predictive ... Familiarity with electric vehicle systems, such as battery management, powertrain control, and ...

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Key Responsibilities Design, develop, and deploy machine learning models, including predictive ... Strong understanding of software development lifecycle, version control, testing, and deployment ...

Responsibilities Design, develop, and deploy machine learning models, including predictive ... Strong understanding of the software development lifecycle, version control, testing, and ...

Senior FP&A Analyst

Auburn Hills, MI

$80K - $100K/yr

... predictive insights (e.g., cost drivers, demand patterns). Collaborate with IT and data teams to ... Operations: plant performance, cost control, efficiency initiatives Sales: pricing, customer ...

next page

Showing results 1-20

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 Michigan? For Model Predictive Control jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Michigan look for? The top searched job categories for Model Predictive Control jobs in Michigan are:
What cities in Michigan are hiring for Model Predictive Control jobs? Cities in Michigan with the most Model Predictive Control job openings:
Staff Researcher, Vehicle Health Management (VHM), Energy and Propulsion Systems

Staff Researcher, Vehicle Health Management (VHM), Energy and Propulsion Systems

General Motors

Warren, MI • Hybrid

Full-time

Re-posted 9 days ago


General Motors rating

8.0

Company rating: 8.0 out of 10

General Motors

Based on 309 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,230 frontline employees who took The Breakroom Quiz


Job description

Job Description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.

The Role

Energy and Propulsion Systems research is aimed at driving propulsion and vehicle efficiency, cost, and performance improvements. Research also focuses on advancing vehicle and propulsion systems to target enterprise cost reduction through warranty improvement and engineering development efficiency.

We are seeking highly motivated and technically skilled candidates in the emerging technology area called Vehicle Health Management (VHM). Internet-of-Things builds many opportunities to improve the life quality of human beings. In the context of vehicle manufacturing, the vehicle engineering data collected through wireless communication (with customer consensus) allow the prediction of vehicle system issues, and the notification of drivers before vehicle performance and, consequently, people's busy life is impacted. With VHM technology, we integrate fundamental physics modeling with modern machine learning techniques such as Large Language Model, to develop diagnostics, prognostics, and system performance management solutions at scale.

GM has been leading the way of developing VHM technology to provide customers with an unprecedented level of assurance, convenience, and ownership experience. An example of VHM is the industry-first OnStar Proactive Alert for Starting System, a service GM launched a few years ago that provides early warning to customers in case a component failure is impending, thereby turning emergency repairs into scheduled maintenance events. This service is available on more than 10 million GM vehicles as of now!

What You'll Do

With the growing demand of VHM, GM R&D invites top talent like you to develop this exciting industry leading technology! Join us if you want to work with a vibrant team to address challenges in cloud-based computing, predictive modeling, and AI/ML to advance VHM. We want researchers who have the passion to make positive impacts on people's everyday life. Here are some other things to look forward to:

  • Develop strategic technology roadmap with global vision in vehicle system diagnosis, prognosis, and fault-tolerant controls as well as integration
  • Apply strong business acumen, highly specialized knowledge as well as organizational expertise to establish and advance new research areas
  • Lead large projects with broad visibility, substantial impacts, and multiple internal and external stakeholders
  • Lead and execute technical plans, including concept generation, prototype development, system implementation, and performance evaluation
  • Recognized as an expert internally and externally with state-of-the-art technical knowledge and skills in related areas of responsibility
  • Generate intellectual property, document results, and publish high quality papers
  • Collaborate with cross-functional global teams and world-class universities

What You'll Need (Required Qualifications)

  • The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).

  • The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
  • PhD in Electrical, Controls, Mechanical, Aerospace Engineering, or related field of study with demonstrated research capability or equivalent background
  • 8+ years related industry experience
  • Strong background in physics-based modeling for continuous and discrete systems, using first principles, system identification, parameter estimation, control and optimization
  • Strong background in intelligent data modeling, using state-of-the-art AI/ML including LLM, signal processing, statistical inference
  • Strong background in fault detection and isolation, diagnostics and prognostics, root cause analysis
  • Demonstrated experience in large-scale data analytics
  • Demonstrated experience in Python (including familiarity with ML frameworks such as PyTorch or Tensorflow), PySpark, MATLAB/Simulink
  • Excellent verbal and written communication skills
  • Excellent interpersonal skills to work effectively with GM internal and external partners
  • Demonstrated experience in developing and deploying innovative solutions in production
  • This job may be eligible for relocation benefits

What Will Give You a Competitive Edge (Preferred Qualifications)

  • PhD with 10+ years industry experience
  • Experience in application of advanced research and technology to the following automotive systems: internal combustion propulsion, high voltage battery, electromechanical actuators, power electronics, electrical systems, chassis systems, environmental sensors such as camera/radar/LIDAR, autonomous driving
  • Hardware hands-on experience highly seeked, including but not limited to experience in dSpace rapid prototyping, ETAS tools
  • Experience of project management

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.


Working at General Motors


What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Motors logo

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