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Model Predictive Control Jobs in West Virginia (NOW HIRING)

GDIT

Business Intelligence Developer

WV · On-site +1

... modeling, and AI/ML capabilities that provide data-driven decision-support tools and actionable ... Develop and integrate configurable dashboards, self-service reporting capabilities, and predictive ...

GDIT

Business Intelligence Architect

WV · On-site +1

... predictive analytics, and AI/ML capabilities in alignment with strict federal compliance ... Ensure reporting artifacts comply with privacy, access control, and data handling requirements.

GDIT

Senior Database Analyst / Administrator

WV · On-site +1

$44.75 - $61.75/hr

Ensures the proper definition, control, and coordination of data elements and standards, and the ... Experience with using advanced statistical analysis, data mining, and predictive modeling ...

New

New York Racing Association

Predictive Operational Intelligence: Expertise in managing data-driven security models that ... advanced Access Control. Proactive Intelligence & Threat Monitoring: Extensive expertise in ...

All JobsModel Predictive Control JobsModel Predictive Control Jobs in West Virginia

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 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 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 does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

What are popular job titles related to Model Predictive Control jobs in West Virginia?

For Model Predictive Control jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Model Predictive Control jobs in West Virginia look for?

The top searched job categories for Model Predictive Control jobs in West Virginia are:

Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in West Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Motion Planning Engineer - Trajectory Generation

Motional

Charleston, WV • On-site, Remote

$172K - $229K/yr

Full-time

Posted 20 days ago

Job description

Mission Summary:
On our Motion team, you will leverage your expertise in motion planning, robotics, and software development to advance the capabilities of production-ready autonomous vehicles. In this role, you will conduct innovative research, lead design processes, and implement performance-critical algorithms that enable safe, comfortable, and intuitive autonomous vehicle behaviors across Motional's fleet of robotaxis.

If you are passionate about autonomous driving, thrive on solving challenging optimization problems, and are eager to make a significant impact in a rapidly evolving field, we want to hear from you.

Technical Scope:
  • Develop state-of-the-art motion control and trajectory optimization algorithms to ensure safe and comfortable vehicle motion
  • Design and build robust and scalable software that enables real on-road impact by evaluating different control techniques and motion planning algorithms
  • Provides high-quality code and design reviews (C++) based on a deep understanding of the teams' services and technologies
  • Leverage modern development toolchains, including testing, simulation, and continuous integration, to enable rapid development cycles
Role responsibilities:
  • Understands and explains trade-offs, complex concepts to peers and leaders to drive decisions.
  • Collaborate with teams working on (ML) decision/behavior planning, prediction, and vehicle control to build comprehensive and integrated solutions
  • Creates project proposals that drive long-term technical roadmaps and span multiple sub-systems.
  • Mentor junior team members to develop a culture of product-focused engineering, research, and development.
What we're looking for:
  • 3+ years of C++ software development
  • Bachelors, Masters, or PhD degree preferred in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Experience with Model Predictive Control (MPC), motion planning, planning under uncertainty, vehicle dynamics and control, and simulation environments
  • Understanding of numerical optimization algorithms (interior point method, sequential quadratic programming, etc)
  • Experience with optimization solvers (IPOPT, Gurobi, etc)
  • Past experience owning and leading technical development on features from problem formulation, algorithm design, through implementation
  • Knowledge of Python is a bonus

We encourage a hybrid schedule with in-office time at one of our locations in Boston or Pittsburgh to support collaboration, or this role can be fully remote.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$172,000—$229,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.