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Internship Control Theory Engineer Jobs (NOW HIRING)

Advantest

Thermal Controls R&D Engineer

Chandler, AZ · On-site

$81.20K - $105K/yr

We are seeking a highly skilled Thermal Controls R&D Engineer with expertise in control systems engineering, including both classical control theory and modern AI/ML-based approaches. This role ...

Allen Control Systems

Controls Engineer

Austin, TX

$82.80K - $107K/yr

Stay current with advancements in control theory, robotics, and real-time systems. What You'll Need: * A strong passion for controls engineering and autonomous systems. * Master's degree in ...

Automationtechies

Senior Control Engineer

Washington, DC

$173.40K - $179.70K/yr

Strong knowledge of process control theory, instrumentation, and ICS protocols. * Proven ability to develop wiring diagrams, control panel designs, and PLC programming from P&IDs. * Experience ...

Das Gemacht Inc.

Process Control Engineer - Hot Mill

PA · On-site

Knowledge of control theory (PID control). * Knowledge of DC and AC drives. * Knowledge of PLC programming, specifically Rockwell drives * System administration experience with a variety of operating ...

ARi

Autonomy and Robotics Engineer

Peoria, IL

$70K - $80K/yr

... internships, or industry experience. Understanding of robotics fundamentals including ... Kinematics Localization Sensor Fusion Control Theory Experience working in Linux-based development ...

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

As of May 31, 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 are the key skills and qualifications needed to thrive as an Internship Control Theory Engineer, and why are they important?

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 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 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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What cities are hiring for Internship Control Theory Engineer jobs? Cities with the most Internship Control Theory Engineer job openings:
What are the most commonly searched types of Control Theory Engineer jobs? The most popular types of Control Theory Engineer jobs are:
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What job categories do people searching Internship Control Theory Engineer jobs look for? The top searched job categories for Internship Control Theory Engineer jobs are:
Internship Control Theory Engineer jobs near you
Infographic showing various Internship Control Theory Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 48% Full Time, 33% Part Time, 17% Temporary, and 1% Contract. Highlights an 72% Physical, and 28% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Thermal Controls R&D Engineer

Advantest

Chandler, AZ • On-site

$81.20K - $105K/yr

Full-time

Posted 27 days ago

Job description

Advantest America is a leading provider of semiconductor test and measurement solutions. As part of our commitment to innovation, we are expanding our Global Thermal R&D Team to develop advanced thermal control strategies for next-generation semiconductor test environments.
We are seeking a highly skilled Thermal Controls R&D Engineer with expertise in control systems engineering, including both classical control theory and modern AI/ML-based approaches. This role involves designing, modeling, and implementing control algorithms for complex thermal systems, ensuring precise temperature regulation under dynamic conditions. The ideal candidate will have strong practical experience combined with simulation and analytical skills to drive innovation in thermal management.
Essential Duties & Responsibilities
  • Design and implement control algorithms for thermal systems, including heaters, chillers, and two-phase cooling loops.
  • Develop simulation models for thermal dynamics and control performance using tools such as MATLAB/Simulink or equivalent.
  • Apply classical control theory (PID, state-space, adaptive control) and advanced techniques (AI/ML-based predictive control) to optimize system response.
  • Integrate control systems into hardware platforms and validate performance through experimental testing.
  • Collaborate with cross-functional teams to ensure seamless integration of thermal controls into semiconductor test equipment.
  • Analyze system data to improve control strategies and enhance reliability, efficiency, and robustness.
  • Support development of digital twins and predictive maintenance strategies using machine learning.

Why Join Us?
This is a rare opportunity to be part of a global initiative shaping the future of thermal technologies in semiconductor testing. You'll work with cutting-edge tools and collaborate with some of the brightest minds in the industry, driving innovation that directly impacts next-generation test solutions.
Requirements, Education & Skills
  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Control Systems, or related field; Master's degree preferred.
  • 5+ years of experience in control systems engineering, preferably in thermal or process control applications.
  • Strong knowledge of classical control theory and practical implementation of PID and advanced controllers.
  • Experience with AI/ML techniques for predictive control and optimization.
  • Proficiency in simulation tools (MATLAB/Simulink, Modelica, or similar).
  • Familiarity with thermal systems, including heaters, chillers, and phase-change cooling technologies.
  • Hands-on experience with sensors, actuators, and embedded control hardware.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work effectively in global, cross-functional teams.
  • Willingness to travel domestically and internationally (up to 10%).
  • On-site role based at our Lake Forest, CA facility.

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