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Model Predictive Control Jobs in Upland, CA (NOW HIRING)

... such as; manufacturer, model, serial number, and system structure information. The data is ... Preventive and Predictive maintenance procedures * Skilled trade training or equivalent technical ...

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Model Predictive Control information

See Upland, CA salary details

$56K

$98.4K

$133.4K

How much do model predictive control jobs pay per year?

As of Aug 8, 2026, the average yearly pay for model predictive control in Upland, CA is $98,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $110,000.00 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 Upland, CA? For Model Predictive Control jobs in Upland, CA, the most frequently searched job titles are:
What cities near Upland, CA are hiring for Model Predictive Control jobs? Cities near Upland, CA with the most Model Predictive Control job openings:
Infographic showing various Model Predictive Control job openings in Upland, CA 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 $98,361 per year, or $47.3 per hour.

RME Planner

Cushman & Wakefield

San Bernardino, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Cushman & Wakefield rating

7.4

Company rating: 7.4 out of 10

Based on 158 frontline employees who took The Breakroom Quiz

109th of 201 rated real estate companies


Job description

Job Title
RME Planner
Job Description Summary
Job Description
C&W Services, a division of Cushman & Wakefield, is the industry leader in Integrated Maintenance Solutions.
We are looking for an experienced CMMS Administrator to oversee asset management, work planning, and spare part inventory using Infor EAM software at our location!
C&W Services offers:
  • Competitive Compensation!
  • Weekly Pay!
  • Comprehensive Benefits that start on your first day!
  • Advancement Opportunities!
  • Training to work in a Cutting Edge Facility!
  • A Safety First Culture!

Duties include:
  • Measure and publish facility's PI metrics to the management team; interpret data, troubleshoot process, and make recommendations based on findings.
  • Develop and maintain accuracy of equipment metadata by regularly collecting and inputting information, such as; manufacturer, model, serial number, and system structure information. The data is maintained in EAM and equipment is labeled/barcoded or identifiable in the facility.
  • Develop and maintain accuracy of Work Order related data: Adding Equipment to PM Plans, Schedules, and Work Packages, Defining Scheduled due dates or initial meter points of system generated WOs.
  • Develop and maintain FC specific PM Plans, Schedules, Routes, and Work Packages
  • Support management in the review of WO Data accuracy such as; Equipment on WOs, Booked Hours (Employee and Vendors), parts usage, WO type, closing codes and WO Comments.
  • Support management in the scheduling and assigning of work. Manage work orders in the system, ensure proper creation, planning, update and closure of work orders.
  • Develop and maintain accuracy of spare parts metadata by regularly collecting and inputting information, such as; supplier, catalog number, min/max quantities, pricing, manufacturer, and part numbers.
  • Drive materials management process in the facilities store, including but not limited to: Create and or Generate Requisitions, POs, PO Receipts (EAM & Oracle), Develop and maintain the 5s of the store, Work with facilities team to develop and maintain lists of critical spares, Audit materials management process with regularly scheduled cycle counts, Support management with data to implement corrective action as discovered in cycle counts, KPIs or other EAM data.
  • Work with facilities team to reduce costs and improve parts quality
  • Work with corporate EAM Business Analysts to roll out new functionality, standard object coding scheme, Preventive Maintenance (PM) procedures and scheduling; and EAM reports.
  • Provide software trainings to end users and new EAM Administrators; serves as liaison for problem solving and escalation
  • Coach and educate staff on the CMMS functions and best practices for performing tasks.

Requirements include:
  • 2-year Associate degree (or professional training) in Business Administration, Information System, Engineering or related fields. Associate degree in Computer Science or equivalent, but not required. High school diploma or equivalent
  • Flexibility with hours and days (the operation will potentially be running 20 hours a day, 7 days a week, including most holidays)
  • 1-3+ years of related experience in a maintenance distribution or manufacturing environment
  • Experience communicating to peers, hourly associates, and senior management regarding maintenance, inventory, and cost control
  • 4+ years' working experience working with enterprise asset management software suit. Infor EAM ASE is highly desired
  • 2+ years' data analysis experience in the facilities maintenance program, specifically in asset management and spare part optimization
  • User training experience is desired
  • Must be self-driven, organized and be able to work in a fast-paced team environment
  • Proven written and verbal communication skills

Experience and proficiency in the following areas preferred, but not required:
  • Microsoft Office Suite and CMMS User
  • Preventive and Predictive maintenance procedures
  • Skilled trade training or equivalent technical expertise
  • A strong knowledge of warehousing/manufacturing maintenance material inventory, project estimating and scheduling, enterprise server CMMS experience, and data-driven, analytical thinking and decision-making skills.
  • Bachelor's degree in Engineering, Supply Chain Management, Information Systems, or commensurate professional experience

Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate's experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $38.51 - $45.30
C&W Services is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at C&W Services, please call the ADA line at 1-888-365-5406 or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.
INCO: "C&W Services"

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