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Model Predictive Control Jobs in Riverview, FL (NOW HIRING)

Responsible for the maintenance of a reliability predictive modeling tool for these facilities ... control - ensure the construction is performed as per the design and if field changes are required ...

Responsible for the maintenance of a reliability predictive modeling tool for these facilities ... control - ensure the construction is performed as per the design and if field changes are required ...

AI Solutions Engineering Delivery Lead

Tampa, FL · On-site

$96K - $127K/yr

You will work on developing predictive models, conducting statistical analysis, and creating data ... control and continuous improvement of AI solutions, closely collaborating with business ...

... control, and status reporting with clear key performance indicators, value realization, and ... Orchestrating cross-functional teams and vendors across onshore and offshore models; aligning ...

Paid media is the primary mandate of this role-you will control significant advertising budgets ... Work hand-in-hand with Revenue Operations to manage multi-touch attribution models, ensuring all ...

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... Aligns risk and control processes into day to day responsibilities to monitor and mitigate risk ...

... control processes. This role includes, but is not limited to, supporting general audit ... Perform analysis using predictive modeling and statistical techniques to support decision-making ...

Showing results 21-35

Model Predictive Control information

See Riverview, FL salary details

$49.1K

$86.1K

$116.8K

How much do model predictive control jobs pay per year?

As of Aug 22, 2026, the average yearly pay for model predictive control in Riverview, FL is $86,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $96,300.00 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 Riverview, FL are hiring for Model Predictive Control jobs?

Cities near Riverview, FL with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control job openings in Riverview, FL 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 $86,135 per year, or $41.4 per hour.

BESS Maintenance Specialist- Solar

TECO

Mulberry, FL • On-site

Full-time

Medical, Dental, Retirement, PTO

Re-posted 16 days ago


Job description

Title: BESS Maintenance Specialist- Solar 
Company: Tampa Electric Company 
State and City: Florida - Mulberry
Shift: 8 Hr. X 5 Days

POSITION CONCEPT

The Maintenance Specialist - Battery & Energy Storage System (BESS) is primary focused on supporting the development, implementation and administering an industry best practice approach to cost effectively achieving the highest level of performance from Tampa Electric's commercial and utility scale BESS facilities and provide maintenance support for the other Solar facilities. Responsible for supporting, tracking, leading effective inspection, monitoring, environmental compliance, and preventative maintenance (PM) programs for Tampa Electric's Battery & Energy Storage System (BESS) with support for the solar facilities. Responsible for the maintenance of a reliability predictive modeling tool for these facilities. 

DUTIES AND RESPONSIBILITIES:

  • Lead responsible for troubleshooting and making necessary repairs to commercial and utility scale BESS system equipment. Perform and document all PM strategies. Support all areas of commercial & utility scale BESS facilities, BESS fire detection and suppression systems, solar facilities, and collector station design/equipment specification review; health, criticality, and risk assessments; inspection, monitoring, and testing strategies; performance; safety; environmental and maintenance requirements. Including contractor support and documentation as set forth in the Contractor Safety Management Program (CSMP) 
  • Participate in BESS system startup and commissioning planning (scoped single line diagrams, develop check-out database, conceptual system testing plans. Assist construction supervision with Quality control - ensure the construction is performed as per the design and if field changes are required, they meet or exceed TEC standards.  Ensure test procedures are followed and documented. 
  • Assist with the development, implementation, and maintenance of a comprehensive data collection and predictive modeling tool for commercial & utility scale BESS facilities to optimize performance, safety, protection of the equipment and optimize O&M costs. 
  • Assist with the tracking, analyzing, and reporting of reliability metrics for commercial & utility scale battery energy storage facilities. 
  • Assist in the facilitation of system root cause analysis for commercial & utility scale BESS facilities, solar facilities. Assist in facilitation and tracking of resulting action plans to maintain appropriate system performance. 
  • Perform other duties as assigned by the BESS Engineer or performance coach.

EDUCATION:

Required: High School Diploma or equivalent. Commercial &/Or Utility BESS training.

Preferred: Associate's degree in electrical engineering technology, Electronics Engineering Technology, or related from an accredited university.

LICENSES/CERTIFICATIONS:

Preferred: Certification in BESS systems or equipment. 

EXPERIENCE:

Required: Minimum of 5 years of work experience related to the Duties & Responsibilities of this position is required. Related experience consists of: Maintenance of Commercial &/or utility scale BESS Systems, Electrical System Technologies, and implementation.

College degree may be considered in lieu of equivalent experience of 2 years with an Associate's degree and 3 years with a Bachelor's degree.

Preferred: 5 years of related experience associated with utility scale BESS Systems, Electrical System Technologies, and Utility scale solar.

KNOWLEDGE/SKILLS/ABILITIES:

Required: A sound understanding of commercial & utility scale BESS & Solar power generation, medium voltage systems, transmission, distribution or substation principals, materials and their applications; Working knowledge of  reliability centered maintenance practices, continuous improvement practices and power generation practices used in electric utilities; Working knowledge of work management systems in power generation;  Ability to organize, lead and resolve technical and process problems;  Good project management skills, time management skills and communication skills.       

Preferred:  Working knowledge with utility scale BESS Systems, Solar Tracking Systems and Arrays. Working knowledge with Distributed Controls Systems. Working knowledge using SharePoint and other Web development/maintenance skills.

WORKING CONDITIONS

Must be able to work indoors/outdoors, irregular hours, overtime, and possible holidays.

PHYSICAL DEMANDS/ REQUIREMENTS 

Must be able to work in dusty and hot environments.  Must be able to ascend and descend from ladders and stairs.  Walking (sometimes on uneven surfaces), bending and driving as needed.

The successful applicant will be required to take and pass a Baseline Medical Examination as part of the pre-employment screening once an offer has been accepted. A pre-employment drug screening, as well as a background check (including education, employment, criminal and motor vehicle) will also be conducted as part of the pre-employment screening. 

Must successfully complete the following physical worker medical exam:
Physical Worker

TECO offers a competitive Benefits package!!

Competitive Salary 401k Savings plan w/ company matching Pension plan Paid time off Paid Holiday time Medical, Prescription Drug, & Dental Coverage  Tuition Assistance Program Employee Assistance Program Wellness Programs On-site Fitness Centers * Bonus Plan and more!

STORM DUTY REQUIREMENTS....Please make sure to read below!!!  Responding to storms will be considered a condition of employment.

TECO Energy and its companies serve a role in providing critical services to our community during an emergency. Team members are required to participate in the response/recovery activities related to emergencies/disasters to maintain service to our TECO Energy customers. Team members are required to work in their normal job duties or other assigned activities. Proper compensation will be made in accordance with the company's rules and procedures.

TECO Energy is proud to be an Equal Opportunity Employer.

TECO Energy is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law, except where physical or mental abilities are a bona fide occupational requirement and the individual is unable to perform the essential functions of the position with reasonable accommodations.

In order to provide equal employment and advancement opportunities for all individuals, employment decisions at TECO Energy will be based on skills, knowledge, qualifications and abilities.

Pay Transparency Non-Discrimination Statement
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

ADA policy
It is the policy of TECO Energy to provide reasonable accommodation for all qualified disabled individuals who are employees and applicants for employment, unless it would cause undue hardship. The corporation will adhere to applicable federal and state laws, regulations and guidelines, including, but not limited to the Americans with Disabilities Act (ADA) of 1990 and section 503 and 504 of the Rehabilitation Act of 1970s.

Application accommodations
Applicants may request reasonable accommodation in the application process five business days prior to the time accommodation is needed.

Pre-employment physical exams may be required for positions with bona fide job-related physical requirements regardless of disability.