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Control Theory Jobs (NOW HIRING)

Waldemar S. Nelson

Control Systems Engineer

New Orleans, LA · On-site

$80 - $110/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is an excellent opportunity for an engineer with a strong background in control theory, automation, and system integration to contribute to challenging projects in a dynamic, collaborative ...

Imagry

CO-143 Algo and Control Engineer

San Jose, CA · On-site

A degree in Electrical, Mechanical, Aeronautical Engineering, or a related field, with a strong foundation in control theory * Deep, hands-on experience with motion planning and control algorithms ...

Imagry

CO-143 Algo and Control Engineer

San Jose, CA · On-site

A degree in Electrical, Mechanical, Aeronautical Engineering, or a related field, with a strong foundation in control theory * Deep, hands-on experience with motion planning and control algorithms ...

Hitachi

Control Lead Engineer

Raleigh, NC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll collaborate with global experts, dive deep into control theory, and help deliver high-performance solutions that make a real impact-from simulation and design to commissioning and optimization.

Hitachi, Ltd.

Control Lead Engineer

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll collaborate with global experts, dive deep into control theory, and help deliver high-performance solutions that make a real impact-from simulation and design to commissioning and optimization.

Apple

Control Systems Engineer

Bodega Bay, CA

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

Experience with estimation theory, Kalman filtering, and state-space modeling Experience with real-time control implementation using microcontrollers, DSP processors, and embedded C/C++ programming ...

Apple Inc.

Control Systems Engineer

San Francisco, CA · On-site

$184.70 - $324.80/hr

  • Medical

  • Dental

  • Retirement

Experience in dynamic modeling, control theory, and/or state‑space analysis including feedback control design * Experience with MATLAB/Simulink for control system design and/or real‑time control ...

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Control Theory information

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How much do control theory jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for control theory in the United States is $24.44, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $30.53 per hour, depending on experience, location, and employer.

What is control theory?

Control theory is a field of engineering and mathematics that deals with the behavior of dynamic systems and how to influence that behavior using feedback and control mechanisms. It is widely used in engineering disciplines to design systems that maintain desired outputs despite disturbances or uncertainties. Examples include cruise control in cars, automatic pilots in aircraft, and industrial automation systems. Control theory provides the mathematical tools and techniques needed to analyze, design, and optimize such systems.

What are some typical challenges faced by professionals working in control theory roles, and how can they overcome them?

Professionals in control theory often face challenges such as modeling complex dynamic systems accurately, dealing with uncertainties or changing environments, and ensuring robust performance in real-world applications. Collaborating closely with multidisciplinary teams—such as mechanical, electrical, and software engineers—can help address these challenges, as can staying updated with the latest theoretical advancements and simulation tools. Continuous learning and practical experimentation are crucial for developing innovative, effective control solutions that meet industry needs.

What are the key skills and qualifications needed to thrive as a control theory engineer, and why are they important?

To thrive as a Control Theory Engineer, you need a solid background in mathematics, systems engineering, and dynamic modeling, typically supported by a degree in electrical, mechanical, or control engineering. Familiarity with simulation tools such as MATLAB/Simulink, and experience with programming languages like Python or C++, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication help professionals excel when designing and optimizing control systems. These skills and qualities are crucial for developing reliable, efficient, and innovative control solutions that meet complex engineering challenges.

What is the difference between Control Theory vs Control Systems Engineer?

AspectControl TheoryControl Systems Engineer
Required CredentialsTypically a degree in engineering, mathematics, or related fields; advanced knowledge in control principlesEngineering degree, often with specialization in control systems; certifications like INCOSE or IEEE are common
Work EnvironmentTheoretical research, academic settings, or early-stage developmentDesign, develop, and implement control systems in industrial, automotive, or aerospace industries
Industry UsageUsed in academia, research, and as foundational knowledge for control systemsApplied in manufacturing, robotics, automotive, and aerospace sectors

Control Theory focuses on the mathematical and conceptual foundations of controlling dynamic systems, while Control Systems Engineers apply these principles to design and implement real-world control solutions. Both roles are interconnected, with Control Theory providing the theoretical basis for Control Systems Engineering practice.

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Control Theory jobs near you
Infographic showing various Control Theory job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $50,826 per year, or $24.4 per hour.

Engine Control Systems Engineer (Mechanical Engineering)

DBA Web Technologies

Mossville, IL • On-site

Other

Re-posted 9 days ago

Job description

Engine Control Systems Engineer (Mechanical Engineering)Introduction:

This position involves designing, developing, and validating electro-mechanical systems and mechatronic devices to optimize engine performance and emissions. As part of the Large Engine Controls team in the Large Power Systems Division, you will be responsible for creating and testing control strategies specific to LPSD engines. This role requires applying knowledge of engine systems, dynamic feedback control theory, simulation, and testing to meet customer specifications.

Responsibilities:
  • Collaborate with process partners to develop and refine engine control system requirements.
  • Utilize expertise in engines and dynamic feedback controls to design and evaluate control features.
  • Develop and maintain Matlab/Simulink and GT-Power-based Model-in-Loop (MiL) simulation framework for control algorithm design and verification.
  • Analyze and present data using advanced analysis and visualization tools such as Vector CANape, Matlab, and Python.
  • Deliver timely, high-quality simulation-driven design analyses and provide recommendations to stakeholders.
Requirements:Education and Experience Requirements:
  • A Bachelor''s degree in Mechanical Engineering or Electrical/Electronic Engineering is required; Master’s Degree Preferred.
  • Professional experience in dynamic feedback control theory applied to design and analysis of spark-ignited engine control systems.
Required Skills:
  • Analytical Thinking
  • Communicating Complex Concepts
  • Problem Solving
  • Embedded Systems
  • Requirements Analysis
  • Technical Troubleshooting
  • Experience with Matlab/Simulink, Vector CANape, GT-Power
  • Product Development in Manufacturing
  • Product Testing
Desired Skills:
  • Master''s degree in engineering with experience in engine control systems design
  • Proficiency in classical control theory
  • Experience developing engine control systems for gas, diesel, and dual fuel engines
  • Expertise in Matlab/Simulink
  • Strong background in modeling dynamic systems
  • Exceptional analytical abilities
  • Experience in product development processes

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