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Model Predictive Control Jobs in Fivepointville, PA

Model Predictive Control information

See Fivepointville, PA salary details

$53.9K

$94.7K

$128.5K

How much do model predictive control jobs pay per year?

As of Aug 22, 2026, the average yearly pay for model predictive control in Fivepointville, PA is $94,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $105,900.00 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 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 cities near Fivepointville, PA are hiring for Model Predictive Control jobs?

Cities near Fivepointville, PA with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control job openings in Fivepointville, PA as of June 2026, with employment types broken down into 17% As Needed, and 83% Full Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $94,700 per year, or $45.5 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Flagger Force rating

5.6

Company rating: 5.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

4th of 9 rated traffic management


Job description

Flagger Force, an industry leader in traffic control, is currently hiring a Fleet Operations Manager. This position will be based out of our Operations Services Center located in Hummelstown, PA.

The Fleet Operations Manager provides strategic oversight, optimization, and lifecycle management of Flagger Force’s 3,000+ vehicle and asset fleet. This role drives fleet forecasting, cost control, compliance, and operational efficiency while partnering cross-functionally to support the company’s continued growth. The Fleet Operations Manager ensures the fleet is right-sized, cost-effective, safe, and aligned with company performance and branding standards.

This is a strategic seat with operations that requires a dynamic approach to meeting our growing business demands. You will own fleet lifecycle from upfitting to disposition, manage enterprise vendor relationships, and partner with Operations, Warehouse, Procurement, and senior leadership to keep field crews moving.


Fleet Strategy & Planning

  • Develop and execute fleet forecasting models based on headcount, geographic expansion, and operational demand to ensure optimal fleet sizing
  • Evaluate and recommend vehicle types, specifications, and standardization strategies to reduce total cost of ownership
  • Contribute to annual budgeting and multi-year fleet planning; lead or support fleet expansion, sustainability, and system upgrade initiatives
  • Facilitate asset movement and resource allocation across markets to support field operations

Procurement & Vendor Management

  • Partner with corporate procurement to source, evaluate, and negotiate with manufacturers, dealers, and service vendors for favorable pricing and terms
  • Oversee strategic vendor relationships for maintenance, repairs, parts, towing, and upfitting; develop and enforce vendor KPIs and SLA accountability
  • Manage the full lifecycle of 3,000+ owned, leased, and rented assets — procurement, contract management, upfitting, and disposition

Cost Management & Optimization

  • Monitor fleet spending against budget; provide variance analysis and corrective action plans to leadership
  • Drive P&L accountability with focus on cost-per-mile and total cost of ownership reduction; oversee Capex planning and ROI analysis
  • Maintain registration, licensing, fuel card administration, insurance records, and compliance documentation across all vehicles
  • Manage fleet damage and liability programs; oversee the full insurance estimate, repair, and auction process

Compliance & Risk Management

  • Ensure all vehicles and equipment comply with state and federal requirements across all operating jurisdictions
  • Develop and implement fleet safety programs, incident response procedures, and corrective action plans; lead safety investigations and business continuity planning
  • Maintain title and registration paperwork across multiple jurisdictions; conduct regular fleet audits for condition, compliance, and documentation accuracy

Data, Systems & Reporting

  • Leverage telematics platforms (Samsara, Element, etc.) to drive data-informed decisions and improve operational performance
  • Produce executive-level reports on fleet performance, utilization, cost-per-mile, fuel efficiency, and maintenance trends
  • Develop predictive analytics for maintenance scheduling and asset replacement; ensure data integrity and governance across all fleet systems

Team Leadership & Development

  • Lead, develop, and hold fleet coordinators, maintenance supervisors, and administrative staff accountable across direct and indirect reporting lines
  • Train warehouse and field personnel on fleet programs, telematics, and compliance requirements
  • Foster a culture of safety, accountability, and continuous improvement; lead change management for system implementations and process improvement initiatives

Key performance indicators you will own fleet uptime (target 95%+), cost-per-mile trends, vendor SLA performance, and asset utilization rates across all locations.

WORKING CONDITIONS

  • In-person at Flagger Force’s corporate campus in Hummelstown, PA
  • Primarily indoor, climate-controlled office environment
  • Occasional regional travel required

What Flagger Force Offers:

  • Medical, vision and dental insurance
  • 401k w/company match
  • Generous paid time off
  • On-site fitness facility
  • Paid holidays
  • Health savings account
  • Company paid benefits (long term disability and basic life/AD&D)
  • Employee assistance program
  • Tuition and education assistance
  • Employee appreciation events
  • Giving back to the communities we serve through paid volunteer time off
  • Professional development opportunities

Experience

  • 5+ years in fleet and/or logistics operations with at least 3 years in management role overseeing large-scale operations (1,000+ vehicle fleets preferred)
  • Proven success managing teams across multiple geographic locations with demonstrated P&L responsibility
  • Enterprise-level contract negotiation and vendor management experience
  • Background in traffic control, construction, transportation, or a similarly complex field operations environment strongly preferred

Technical Skills

  • Advanced proficiency with fleet management and telematics platforms (Samsara, Element, Fleetio, Auto-Integrate, or similar)
  • Expert-level data analytics using Excel, Power BI, Grafana, or comparable tools; strong understanding of predictive maintenance and asset lifecycle management
  • Knowledge of GPS tracking, route optimization, and emerging fleet technologies; experience with compliance reporting systems

Leadership & Regulatory Knowledge

  • Demonstrated ability to lead organizational changes, drive measurable operational improvements, and communicate effectively at the executive level
  • Process improvement mindset; Lean Six Sigma certification preferred
  • Comprehensive familiarity with DOT, FMCSA, OSHA, and MUTCD; multi-jurisdiction title, registration, and insurance compliance experience

Education & Certifications

  • Bachelor’s degree in Logistics, Supply Chain Management, Business Administration, or related field
  • Valid driver’s license with clean driving record
  • Professional fleet, safety, or logistics certifications desirable (NAFA, ASE, CSP); PMP and Lean Six Sigma certifications a plus

Flagger Force is an industry leader in traffic control. Utilizing robust technology resources and expertise, we support the nation’s infrastructure, utilities, and other service industries throughout the eastern United States.

Flagger Force provides a supportive work environment centered on our organization's values, vision, and mission. The leadership team believes that our most important asset is our employees.

Flagger Force is an Equal Opportunity Employer. Flagger Force's policy is to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, military status, sexual orientation, genetic information, or any other protected status under applicable law.

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