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

Infosys

Gen/Agentic AI Engineer

Tampa, FL · On-site

As a Data Science Consultant 2, you will develop predictive models, ensure data readiness, and ... version control systems (Git). • Awareness of AI compliance, data privacy, and responsible AI ...

L'Oreal

Senior Analyst, HR Analytics

Tampa, FL · On-site

$85K - $108K/yr

... predictive models-using data to tell the story of analytics value. * SupportHRteam as a data ... GIT -Proficiency in version control workflows- ability to navigate repositories, review ...

USAA

Data Scientist Senior

Tampa, FL · On-site +1

... predictive modeling solutions that drive performance, support risk management, and create ... Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ...

USAA

Data Scientist Senior

Tampa, FL · On-site +1

... predictive modeling solutions that drive performance, support risk management, and create ... Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ...

WSP

Associate Civil Engineer

Tampa, FL · On-site

Maintain quality control standards and procedures for accurate and precise measurements ... math principles, predictive models, spreadsheets, and tools. * Strong interpersonal and ...

WSP

Associate Civil Engineer

Tampa, FL · On-site

Maintain quality control standards and procedures for accurate and precise measurements ... math principles, predictive models, spreadsheets, and tools. * Strong interpersonal and ...

WSP

Senior Water Resources Engineer

Tampa, FL · On-site

... * Proficiency with technical writing, office automation, software, technology, math principles, predictive models, spreadsheets, and tools. * Adept at coordinating technical matters with public and ...

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All JobsModel Predictive Control JobsModel Predictive Control Jobs in Riverview, FL

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 Jul 14, 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 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 job categories do people searching Model Predictive Control jobs in Riverview, FL look for? The top searched job categories for Model Predictive Control jobs in Riverview, FL are:
What cities near Riverview, FL are hiring for Model Predictive Control jobs? Cities near Riverview, FL with the most Model Predictive Control job openings:
Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Riverview, FL as of July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% In-person job distribution, with an average salary of $86,135 per year, or $41.4 per hour.

Senior Guidance, Navigation, and Control (GNC) Engineer, UAV Platforms

Nokturnal AI

Clearwater, FL • On-site

$90K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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

Job description

About the Role
We are seeking a Senior GNC Engineer with 10+ years of experience to serve as a technical anchor for guidance, navigation, and control across our unmanned aircraft (UAV/UAS) programs. This is a hands-on role centered on developing and tuning guidance laws and navigation algorithms for flight vehicles, from concept and simulation through flight test and fielding.

The ideal candidate has spent a significant portion of their career designing, tuning, and validating guidance and navigation for UAV platforms — and is comfortable moving between the whiteboard (deriving a guidance law), the simulation environment (6-DOF Monte Carlo), and the flight line (interpreting test data and re-tuning). You will provide technical leadership, set GNC direction, and mentor a growing team.

Key Responsibilities

  • Design, develop, and tune guidance laws (e.g., proportional navigation and variants, waypoint and path-following, trajectory shaping, terminal guidance) for fixed-wing, multirotor, and/or hybrid UAV platforms.
  • Develop and validate navigation and state-estimation algorithms — GNSS/INS integration, Kalman filtering (EKF/UKF), attitude and heading estimation, and robust performance in GPS-degraded or GPS-denied conditions (e.g., visual-inertial odometry, terrain- or map-relative navigation).
  • Design, analyze, and tune flight control laws (inner/outer loop autopilots), and assess stability, robustness, and performance margins across the flight envelope.
  • Build and maintain 6-DOF simulation environments; run Monte Carlo campaigns; and support model-, software-, and hardware-in-the-loop (MIL/SIL/HIL) testing.
  • Lead and support flight test campaigns: test planning, real-time monitoring, anomaly investigation, and data-driven iterative tuning of guidance, navigation, and control parameters.
  • Implement and optimize algorithms for real-time/embedded execution (C/C++), working closely with flight software, avionics, and systems engineering.
  • Author requirements, trade studies, analysis reports, and design documentation; present results to internal stakeholders and customers.
  • Provide technical leadership and mentorship to junior and mid-level GNC engineers.


Required Qualifications

  • Bachelor's degree in Aerospace, Electrical, Mechanical, Robotics Engineering, or a related field.
  • 10+ years of professional GNC experience, with significant, demonstrated experience developing and tuning guidance laws and navigation for UAV/UAS platforms.
  • Strong theoretical foundation in classical and modern control, estimation theory, flight dynamics, and rigid-body kinematics.
  • Proficiency in MATLAB/Simulink for algorithm design, modeling, and (ideally) autocode generation.
  • Hands-on experience with sensor fusion / state estimation (EKF/UKF) and GNSS/INS integration.
  • Demonstrated experience developing and tuning autopilots/control loops and validating them in both simulation and flight test.
  • Proficiency in C/C++ for real-time or embedded implementation (Python a plus).
  • Experience building and interpreting 6-DOF simulations and Monte Carlo analyses.


Preferred Qualifications

  • Master's or Ph.D. in a relevant discipline.
  • Experience with GPS-denied navigation — visual-inertial odometry, SLAM, or terrain-relative techniques.
  • Experience with trajectory/path optimization, optimal control, or model predictive control (MPC).
  • Autonomy and onboard path-planning experience, particularly in dynamic or degraded environments.
  • Familiarity with common autopilot ecosystems (e.g., PX4/ArduPilot) and/or proprietary flight stacks.
  • Experience with safety-critical software processes (e.g., DO-178C) and relevant MIL-STD standards.
  • Active U.S. security clearance (Secret or Top Secret).

Eligibility

Due to U.S. export-control requirements (ITAR/EAR), applicants must be a U.S. person (U.S. citizen or lawful permanent resident). Depending on the specific program, the ability to obtain and maintain a U.S. government security clearance may be required, and some roles require an active clearance at start.