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Model Predictive Control Jobs in Texas (NOW HIRING)

Base Power Company

Algorithms Engineer

Austin, TX · On-site

Deep understanding of any number of control or control-adjacent disciplines: e.g. model predictive control, reinforcement learning, Markov decision processes, signal processing. * A data-driven ...

BasePower

Algorithms Engineer

Austin, TX

Deep understanding of any number of control or control-adjacent disciplines: e.g. model predictive control, reinforcement learning, Markov decision processes, signal processing. * A data-driven ...

Base Power Company

Algorithms Engineer

Austin, TX · On-site

Deep understanding of any number of control or control-adjacent disciplines: e.g. model predictive control, reinforcement learning, Markov decision processes, signal processing. * A data-driven ...

USAA

Model Validator (Mid-Level) - Fraud/AML

Plano, TX · Hybrid

$93.77K - $179.24K/yr

Executes independent model validation control activities for lower risk, in-house and vendor ... Working Experience with statistical, econometric, data science, or predictive modeling approaches ...

USAA

Model Validator (Mid-Level) - Fraud/AML

Plano, TX · Hybrid

$93.77K - $179.24K/yr

Executes independent model validation control activities for lower risk, in-house and vendor ... Working Experience with statistical, econometric, data science, or predictive modeling approaches ...

New

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

... predictive and statistical models, and delivering AI-driven solutions that create measurable ... Strong understanding of version control ( Git ) and collaborative development. Soft Skills * Highly ...

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Model Predictive Control information

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 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 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 popular job titles related to Model Predictive Control jobs in Texas? For Model Predictive Control jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Texas look for? The top searched job categories for Model Predictive Control jobs in Texas are:
What cities in Texas are hiring for Model Predictive Control jobs? Cities in Texas with the most Model Predictive Control job openings:
Model Predictive Control jobs near you

ADCS Engineer III (Controls), Elytra

Firefly Aerospace

Cedar Park, TX • On-site

$78.50K - $101.60K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago

Firefly Aerospace rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

26th of 59 rated aerospace companies

Job description

ABOUT FIREFLY AEROSPACE
Firefly Aerospace is a space and defense technology company that enables our world to launch, land, and operate in space - anywhere, anytime. As the partner of choice for critical space missions, Firefly is the only commercial company to launch a satellite to orbit with 24-hour notice and the only company to achieve a successful Moon landing. Our launch vehicles, lunar landers, and orbital vehicles provide government and commercial customers with full mission services from low Earth orbit to the Moon and beyond. Headquartered in north Austin, Texas, Firefly is looking for passionate, hardworking innovators to join our team and help fuel our successful trajectory into space.
SUMMARY
As a Senior ADCS Engineer specializing in controls and autonomy at Firefly, you will design and implement advanced control systems and autonomous flight software for operational spacecraft. In this role, you will develop and tune attitude control software, support hardware-in-the-loop testing and system integration, and provide technical leadership while collaborating with multidisciplinary teams. This position combines advanced control theory, real-time embedded systems development, and hands-on flight operations support while mentoring junior engineers in a fast-paced operational environment.
RESPONSIBILITIES
  • Design, analyze, and tune spacecraft attitude control software to ensure accurate pointing across all mission phases
  • Implement control techniques for critical mission phases using reaction wheels, control moment gyros, magnetic torque rods, and thruster systems
  • Develop control systems accounting for complex spacecraft dynamics including structural flex modes, propellant slosh, gimbal dynamics, and control structure interaction
  • Establish technical standards and validation methodologies for control system design, software development, and hardware-in-the-loop testing
  • Conduct stability analysis, sensitivity studies, and performance optimization for control systems under nominal and off-nominal conditions
  • Support hardware-in-the-loop test campaigns for integrated ADCS systems including control algorithm validation, flight software verification, and system-level performance testing
  • Drive resolution of complex ADCS challenges requiring deep technical expertise and rapid problem-solving
  • Provide technical direction on system architecture and serve as subject matter expert for spacecraft control
  • Mentor junior engineers in control theory and flight software development
  • Author technical documentation and analysis reports that communicate ADCS concepts and results to diverse audiences
  • Interface with cross-discipline teams to integrate control software with spacecraft hardware
  • Serve as an ADCS console operator for spacecraft operations and perform post-mission analysis to improve spacecraft models
  • Champion continuous improvement initiatives for ADCS processes, tools, and operational efficiency
QUALIFICATIONSRequired
  • Bachelor's degree in aerospace engineering, mechanical engineering, electrical engineering, computer science, or related field
  • 5-10 years of experience in spacecraft ADCS systems with significant depth in attitude control system design or flight software development
  • Advanced knowledge of attitude dynamics and control theory, including rotational dynamics, attitude representations, control moment generation, and stability analysis
  • Strong understanding of classical control theory and frequency domain analysis techniques
  • Expertise in real-time software development using C++ for mission-critical applications
  • Experience developing high-fidelity actuator models and attitude control system testbeds
  • Proficiency in hardware-in-the-loop testing and requirement verification for mission-critical systems
  • Understanding of software development best practices including version control (Git), code documentation, and testing
  • Excellent communication and presentation skills
Desired
  • Master's degree or PhD in aerospace engineering, mechanical engineering, electrical engineering, applied mathematics, or related field
  • Experience architecting and implementing control systems for operational spacecraft from development through mission operations
  • Expertise in advanced control techniques such as nonlinear control methods, optimal control, model predictive control, or adaptive control applied to spacecraft applications
  • Hands-on experience with spacecraft actuator systems including reaction wheels, control moment gyros, magnetic torque rods, and thruster systems
  • Advanced knowledge of state estimation techniques including Kalman filtering, sensor fusion, and covariance analysis
  • Advanced knowledge of numerical methods for control law tuning, root-solving, and parameter optimization
  • Experience with modern flight software frameworks and real-time operating systems
  • Software engineering expertise with proficiency in development practices including version control, code review, testing, documentation, and CI/CD workflows
  • Proficiency in Python for scripting, data analysis, and automation
  • Working knowledge of spacecraft systems and mission operations
  • Proven ability to develop junior engineers while managing technical responsibilities
  • Track record of thought leadership through publications, presentations, or contributions to industry state-of-the-art

Firefly offers outstanding benefits for our employees, including generous health, dental and vision plans with low plan deductibles, parental leave, educational reimbursement, short term disability, and flexible PTO options.
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Firefly Aerospace, Inc. is an Equal Opportunity Employer; employment with Firefly is governed based on 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.

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