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Model Predictive Control Jobs in Kentucky (NOW HIRING)

$100K - $160K/yr

Propulsion Engineer, Propulsion Simulation & Data Analysis Develop predictive models of Raptor ... Experience with control feedback loop design and implementation * Experience with numerical ...

... control. The successful candidate will contribute to the development of high-performance simulation tools and predictive modeling capabilities that enable deeper understanding of stellarator plasma ...

Interest in predictive, forward-looking measurement - marketing-mix modeling, incrementality, and ... Comfort using AI/agentic tools to speed up analysis, with basic version-control (Git) habits.

New

$70 - $80/hr

Integrate LLMs, predictive models, business logic, and behavioural data into recommendation ... control, testing, modular design, and production monitoring * Experience integrating machine ...

Export Control/ITAR:* Certain roles may be subject to U.S. export control laws, requiring U.S ... Productionize **reasoning models, vision-language models (VLMs), and multimodal AI systems** that ...

$90K - $119K/yr

Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6 ...

Establish quality operating models with shared governance, consistent calibration standards, and ... Formalize Audit the Auditor as an ongoing control: define sample selection, alignment thresholds ...

Establish quality operating models with shared governance, consistent calibration standards, and ... Formalize audit the auditor as an ongoing control: define sample selection, alignment thresholds ...

$99K - $142K/yr

Continuous Control Monitoring: Lead the design and implementation of an automated, continuous ... Develop predictive models and detection tools that reduce risk exposure and enhance operational ...

$84K - $101K/yr

Develop scalable data models and medallion architectures that support analytics, feature ... Apply Federal security, privacy, access-control, audit, retention, and governance requirements ...

$99K - $132K/yr

Design, develop, validate, and deploy predictive models and analytical reports that address core ... Contribute to Vibrant's data science infrastructure, including model registries, version control ...

... control plane is the layer that makes that possible. It deploys the agents, it deploys the models ... DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to ...

Grading and drainage design and stormwater modeling experience. * Erosion and sediment control and ... predictive models, spreadsheets, and tools. * Demonstrated commitment to safety, ethical ...

$125K - $162K/yr

We are proud to be a member of the Rentokil family of companies, the global leader in Pest Control ... predictive data models, and enterprise analytics to optimize total cost of ownership (TCO) and ...

Work with AI frameworks and APIs to integrate machine learning, NLP, or predictive analytics into ... Collaborate with data scientists and ML engineers to fine-tune AI models and optimize performance ...

$100K - $150K/yr

Analyze large datasets to extract insights and build predictive or decision-support models ... Git / version control * Containerization (Docker) * Data visualization tools * Analytical thinking ...

Grading and drainage design and stormwater modeling experience. * * Erosion and sediment control ... predictive models, spreadsheets, and tools. * Demonstrated commitment to safety, ethical decision ...

Grading and drainage design and stormwater modeling experience. * * Erosion and sediment control ... predictive models, spreadsheets, and tools. * Demonstrated commitment to safety, ethical ...

$47 - $60.50/hr

... models, and actions that make healthcare more personalized, predictive, and precise ... In addition experience with cloud computing platforms and using version control systems (e.g., Git ...

Showing results 41-60

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 Kentucky?

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

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

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

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

Propulsion Engineer, Propulsion Simulation & Data Analysis Software

On-site

$100K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

Propulsion Engineer, Propulsion Simulation & Data Analysis Develop predictive models of Raptor engine performance from test data to guide design decisions and optimizations

Location: Hawthorne, California

Compensation: $100,000 - 160,000 USD / year

About The Role Propulsion Engineer, Propulsion Simulation & Data Analysis

Hawthorne, CA

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

Propulsion Engineer, Propulsion Simulation & Data Analysis (Raptor)

The Raptor Systems Modeling and Control Team is responsible for the power-balance, optimal control, and calibration of one of the worlds most prolific and advanced rocket engines. In addition to this we aid in root cause analysis for anomaly resolution, providing data and model driven insights supporting operations and components teams in high-consequence decision making. Our models and analysis are relied upon day-in-and-day-out to evaluate the safety and optimality of flight trajectories. With hundreds of engines, hundreds of simulations, and hundreds of hot fire operations, the work we do guides both the engine design process and operation of every single mission and engine test. In this role you will work with brilliant, passionate engineers to develop rapid, seamless processes to translate engine test data into accurate predictions of future performance for the most reliable and cutting-edge rocket engines in the world.

Responsibilities:
  • Maintain and improve the accuracy of the lumped-parameter thermofluid physics model of the Raptor engine
  • Conduce engine cycle analysis to steer future-state engine design and thrust upgrades
  • Conduct anomaly resolution utilizing the engine model and sparse instrumentation
  • Develop a detailed understanding of the physics underlying rocket engine performance, sources of performance variability, as well as related modeling and measurement techniques
  • Maintain and improve the accuracy of the representation of the Raptor engine used in integrated vehicle simulations, control software validation and flight Monte Carlo analysis
  • Develop tools and portals to understand the sources of engine performance variability and enact improvements to manufacturing and engine hardware design
  • Automate processes and software tools that are used to predict test performance and generate flight performance predictions for GNC (guidance, navigation, and control) and flight software
  • Collaborate with engineers across the company to extend and improve interoperability among existing tools as well as to standardize hardware and software practices, tools, and methods to maximize functionality and value while minimizing future overhead and obsolescence
Basic Qualifications:
  • Bachelor's degree in computer science, engineering, or a STEM discipline
  • 1+ year experience with physics-based simulations of real dynamic systems
Preferred Skills and Experience:
  • Dynamical systems modeling
  • Experience with lumped parameter modeling of physical systems
  • Experience implementing physics-informed neural networks to solve real-world engineering problems
  • Data driven analysis of complex systems
  • Experience inferring root cause from sparse measurements
  • Demonstrable proficiency in the basic principles of compressible and incompressible flow, thermodynamics, thermochemistry, mechanics, and materials
  • Strong written and verbal communication skills, ability to make presentations to team members, internal customers and management
  • Experience building data pipelines providing sanitization, curation, visualization, exploration to high dimensional datasets
  • Experience working with or simulating combustion engines or fluid systems
  • Full stack web development experience (database design, frontend)
  • 1+ year experience writing computer software
  • Experience with version control, continuous integration, Unix-like operating systems
  • Experience with control feedback loop design and implementation
  • Experience with numerical analysis techniques and signal processing in multiple domains
Compensation and Benefits:

Pay Range: Level 1: $100,000.00 - $130,000.00 Level 2: $115,000.00 - $160,000.00

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.

ITAR Requirements:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX's Affi...

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