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Model Predictive Control Jobs in Michigan (NOW HIRING)

Controls Engineer

Troy, MI ยท On-site

$78K - $101K/yr

Investigate and propose Advanced Process Control (APC), Model Predictive Control (MPC) and Distributed Control Systems (DCS) for future manufacturing delivery improvement * Project management within ...

Controls Engineer

Troy, MI ยท On-site

$78K - $101K/yr

Investigate and propose Advanced Process Control (APC), Model Predictive Control (MPC) and Distributed Control Systems (DCS) for future manufacturing delivery improvement * Project management within ...

Experience with trajectory optimization or model predictive control frameworks * Background working with heavy or industrial mobile robotic systems * Experience developing or customizing ROS2/Nav2 ...

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 ...

... control technologies, and energy services to industries in 19 states. But we're more than a leading ... Develops complex data sets and predictive models to support key decisions to improve safety ...

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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 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:

Vehicle Control Technology Manager

Hyundai Motor Company

Superior Township, MI โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Vehicle Control Technology Manager

Hyundai America Technical Center, Inc. (HATCI) is seeking a Manager for the Vehicle Control Technology team. This role is pivotal in shaping the future of vehicle intelligence for the North American market, with a specific emphasis on the Truck, SUV, and Off-road segments.

The Vehicle Control Technology team is responsible for the research, development, and prototyping of advanced control algorithms that define the "brain" of the vehicle. As the manager, you will lead a team of high-performing engineers dedicated to control logic concept and design. Your team will develop novel solutions to improve performance, efficiency, and the overall customer experience, specifically focusing on challenging North American use cases such as heavy-duty towing and rugged off-road maneuvers. By leveraging advanced techniques such as machine learning, AI, and model predictive control, you will lead the charge in creating next-generation vehicle behaviors. This role requires a blend of deep technical expertise in control theory and the strategic leadership necessary to manage complex projects and high-level research partnerships.

WHAT YOU WILL DO
  • Lead and Manage a team of 4-5 advanced control engineers, providing technical mentorship, career development, and performance evaluations.
  • Oversee Control Logic Concept & Design, ensuring the team develops creative solutions for vehicle motion, energy management, and specialized performance attributes for Trucks and SUVs.
  • Drive Technical Innovation in specialized applications, including Advanced Towing Features (e.g., trailer stability, hitch assist) and Off-road Performance (e.g., terrain response, crawl control).
  • Establish and Maintain Research Partnerships with top universities and research labs to stay at the forefront of control technology and academic advancement.
  • Direct Model-Based Development (MBD) workflows, ensuring best practices in MATLAB/Simulink, Simscape, and Software-in-the-Loop (SIL) testing environments.
  • Manage Departmental Resources including budget allocation and software licensing for simulation and development tools (ETAS, GT-SUITE, CarSim, etc.).
  • Cultivate Global Collaboration by serving as the primary technical liaison with R&D Headquarters in South Korea to align North American development with global product cycles.
  • Technical Quality Assurance: Review and approve technical reports, system trade-offs, and business cases for new technologies before presentation to executive leadership.
  • Cross-Functional Leadership: Support North American headquarters with technical inquiries and collaborate with vehicle testing teams to validate prototype software in real-world towing and off-road environments.
  • Travel Requirements: Occasional domestic and international travel (~10-15%) for vehicle testing events, global R&D meetings, and university partnership visits.
WHAT YOU WILL BRING TO THE ROLE
  • Educational Requirements:
    • Required: Master's Degree in a related engineering field with a focus on Control Theory or Mechatronics.
    • Preferred: PhD in Engineering specializing in Advanced Control Systems (MPC, Adaptive, or Optimal Control).
  • Related Industry Experience Requirements:
    • 10+ years of engineering experience in the automotive or aerospace industry.
    • 5+ years of experience specifically in advanced control algorithm development and deployment.
    • 3+ years of experience in a leadership or formal management role overseeing technical teams.
  • Required Skills and Knowledge:
    • Expertise in Control Theory: Deep understanding of classical, optimal, and adaptive controls, as well as state-space modeling.
    • Application Specifics: Demonstrated experience in developing algorithms for vehicle dynamics, stability control, or traction management in high-CG vehicles (SUVs) or towing applications.
    • Advanced Techniques: Proven experience applying Model Predictive Control (MPC) and Machine Learning models to physical systems.
    • Software Proficiency: Advanced skills in MATLAB/Simulink for Model-Based Design, including auto-code generation and 1-D physical modeling (Simscape, GT-SUITE, etc.).
    • Embedded Systems: Strong understanding of C/C++ and the deployment of algorithms into embedded controllers via rapid prototyping tools.
    • Strategic Partnership Management: Experience identifying and managing external research projects with academic institutions.
    • Communication: Excellent ability to present complex technical data and research findings to executive leadership.
  • Additional Requirements:
    • Valid Driver's License and a satisfactory driving record for prototype vehicle evaluation.
    • Experience with Intellectual Property (IP) generation, such as patents or peer-reviewed publications.
WHAT HYUNDAI CAN OFFER YOU
  • Zero dollar employee premiums on Medical, Dental, and Vision for you and your family
  • 100% employer-paid disability and life insurance
  • Generous paid time off including vacation, sick and abundant holidays
  • A global environment that fosters diversity
  • Competitive salaries
  • Retirement savings and planning benefits
  • Access to health savings accounts and flexible spending accounts
OTHER DETAILS
  • Candidates applying for positions with Hyundai KIA must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
    • HATCI is an Equal Opportunity Employer including Disabled and Veteran.ย VEVRAAย Federal contractor.
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