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Internship Control Theory Engineer Jobs (NOW HIRING)

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 · On-site

Engineering & Science Job Schedule: Full time Remote: No The Opportunity At Hitachi Energy, we're ... You'll collaborate with global experts, dive deep into control theory, and help deliver high ...

Hitachi, Ltd.

Control Lead Engineer

Raleigh, NC · On-site

Engineering & Science Job Schedule: Full time Remote: No The Opportunity At Hitachi Energy, we're ... You'll collaborate with global experts, dive deep into control theory, and help deliver high ...

htseng

HVAC Control Systems Engineer

Houston, TX · On-site

Demonstrated knowledge of control theory, automatic temperature controls, building automation systems and other building subsystems. * Experience with Siemens/Distech Controls software programming

htseng

HVAC Control Systems Engineer

Houston, TX · On-site

Demonstrated knowledge of control theory, automatic temperature controls, building automation systems and other building subsystems. * Experience with Siemens/Distech Controls software programming

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How much do internship control theory engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for internship control theory engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What does an internship control theory engineer do?

An Internship Control Theory Engineer works alongside experienced engineers to design, analyze, and implement control systems for various applications, such as robotics, automation, or aerospace. Interns typically assist in modeling dynamic systems, developing algorithms, running simulations, and supporting experimental validation. This role offers hands-on experience with industry tools and exposure to real-world engineering challenges while applying theoretical knowledge from coursework.

What are the key skills and qualifications needed to thrive as an internship control theory engineer?

To thrive as an Internship Control Theory Engineer, a solid background in mathematics, dynamics, and control systems, typically supported by coursework in engineering or applied mathematics, is essential. Familiarity with simulation tools like MATLAB/Simulink and programming languages such as Python or C++ is commonly expected. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and learn quickly in technical environments. These skills and qualities enable efficient analysis, design, and implementation of control solutions, contributing to successful project outcomes.

What types of projects can an internship control theory engineer expect to work on, and how is mentorship typically provided?

As an Internship Control Theory Engineer, you can expect to work on projects involving modeling, simulation, and analysis of dynamic systems—often supporting the development or improvement of control algorithms for mechanical, electrical, or robotic systems. Interns frequently assist with data analysis, running simulations in tools like MATLAB/Simulink, and performing hardware-in-the-loop testing. Mentorship is commonly provided through regular check-ins with a senior engineer or supervisor, collaborative team meetings, and hands-on guidance during project tasks. This supportive environment helps interns quickly build technical skills and gain exposure to real-world engineering workflows.

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

AspectInternship Control Theory EngineerControl Systems Engineer
CredentialsTypically pursuing or recent graduate in control engineering, electrical engineering, or related fieldsBachelor's or master's degree in control engineering, electrical engineering, or related fields
Work EnvironmentInternship setting, often in research labs or development teamsFull-time professional role in industry, manufacturing, or technology companies
Industry UsageUsed for training, skill development, and project support during studiesDesign, implementation, and maintenance of control systems in real-world applications

In summary, an Internship Control Theory Engineer is a temporary, learning-focused role for students or recent graduates, while a Control Systems Engineer is a full-time professional responsible for designing and managing control systems in industry.

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Internship Control Theory Engineer jobs near you
Infographic showing various Internship Control Theory Engineer job openings in the United States as of September 2026, with employment types broken down into 29% Internship, and 71% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Engine Control Systems Engineer (Mechanical Engineering)

Mossville, IL • On-site

DBA Web Technologies
IT Services • 11 - 50 employees
Learn more about DBA Web Technologiesexternal

Other

Re-posted 4 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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