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Internship Control Theory Engineer Jobs in California

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 ...

Apple

Control Systems Engineer

Bodega Bay, CA

$184K - $324K/yr

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

Control Systems Engineer

San Diego, CA

$175K - $308K/yr

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

Control Systems Engineer

San Diego, CA · On-site

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

Control Systems Engineer

San Francisco, CA · On-site

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 ...

Cypress HCM

Control Systems Engineer

Irvine, CA

$200K - $250K/yr

Expert knowledge and understanding of principles, theories, and concepts of control engineering and ... system dynamics. * Expert knowledge in signal processing, system identification, mathematical ...

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Internship Control Theory Engineer information

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.

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 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.
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Internship Control Theory Engineer jobs near you

CO-143 Algo and Control Engineer

Imagry

San Jose, CA • On-site

Full-time

Re-posted 14 days ago

Job description

Description
Senior Motion Planning & Control Engineer Imagry • San Jose, CA • On-Site
Join Imagry at the forefront of autonomous driving. As a Senior Motion Planning & Control Engineer, you'll architect the algorithms that determine how our vehicles perceive, reason about, and navigate the real world - directly shaping the safety and intelligence of our autonomous systems.
What You'll Do
  • Design and implement advanced guidance and control algorithms for autonomous driving systems
  • Build, run, and analyze system-level tests to validate algorithm performance across complex, real-world scenarios
  • Optimize control algorithms for real-time execution on embedded platforms
  • Translate intricate traffic situations into safe, efficient vehicle behavior
  • Keep pace with the latest research in autonomous vehicle motion planning and control
  • Collaborate actively through technical discussions, code reviews, and team brainstorming

Requirements
  • 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 for autonomous systems
  • Proficiency with complex electromechanical drive systems, dynamic systems, and control theory
  • Strong programming skills in C++, Python, or MATLAB

Bonus Points
  • Mathematical fluency in probabilistic reasoning, optimization, and linear algebra
  • Understanding of vehicle dynamics and experience with inertial navigation systems
  • Familiarity with real-time systems and optimization techniques
  • Knowledge of sensor fusion and localization algorithms
  • Experience with state estimation and filtering methods such as Kalman or particle filters

Requirements

Apply