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Control Theory Engineer Jobs in California (NOW HIRING)

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 ...

Proficiency with complex electromechanical drive systems, dynamic systems, and control theory * Strong programming skills in C++, Python, or MATLAB Bonus Points * Mathematical fluency in ...

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 ...

Apply Early

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 ...

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 ...

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 ...

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 ...

Control Systems Engineer

Irvine, CA ยท On-site

$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 ...

Apply Early

D. degree in controls and electrical engineering, with focus on modern control theory, MPC, LQR and statement estimation * At least 20 years of experience in systems design with 10+ years of ...

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Control Theory Engineer information

Is QC engineer a good career?

A QC (Quality Control) engineer is responsible for ensuring products meet quality standards through testing and inspection, often using tools like statistical analysis and quality management systems. It is a stable career with opportunities in manufacturing, software, and other industries, requiring attention to detail and knowledge of industry standards. Career growth depends on experience, certifications, and industry demand.

What engineers make 200,000 a year?

Control Theory Engineers with extensive experience, advanced skills in systems modeling, and proficiency in tools like MATLAB or Simulink can earn salaries around $200,000 annually. Such compensation is often found in senior roles within industries like aerospace, defense, or high-tech manufacturing, especially for those with specialized certifications or leadership responsibilities.

What are the key skills and qualifications needed to thrive in the Control Theory Engineer position, and why are they important?

To thrive as a Control Theory Engineer, you need a strong background in applied mathematics, dynamic systems, and engineering principles, often supported by a degree in electrical, mechanical, or aerospace engineering. Familiarity with MATLAB/Simulink, control system design tools, and simulation software, as well as certifications like Professional Engineer (PE), are highly valued. Strong problem-solving, teamwork, and communication skills help engineers collaborate and clearly explain complex concepts to diverse audiences. These abilities are essential for designing robust control systems that meet stringent technical requirements and function effectively in real-world applications.

What engineers make 300,000 a year?

Control Theory Engineers with extensive experience, advanced degrees, and specialized skills in systems modeling and automation can earn salaries around $300,000 annually, especially in senior or leadership roles. High compensation often reflects expertise in complex systems, industry demand, and working in high-paying sectors such as aerospace, defense, or technology companies.

What is a Control Theory Engineer job?

A Control Theory Engineer designs, analyzes, and implements control systems to optimize the performance of dynamic systems. This involves developing mathematical models, applying control algorithms, and fine-tuning system responses to achieve stability and efficiency. They work in various industries, including robotics, aerospace, automotive, and industrial automation, ensuring that processes and devices operate as intended.

What are some typical daily responsibilities of a Control Theory Engineer?

Control Theory Engineers are usually engaged in designing, analyzing, and testing control systems for a variety of applications, such as robotics, vehicles, or industrial automation. Their daily tasks often include developing mathematical models of dynamic systems, simulating response behavior using advanced software, and fine-tuning controller parameters for optimal performance. They also collaborate closely with multidisciplinary teams of mechanical, electrical, and software engineers to integrate their designs into larger systems and verify compliance with industry standards. Regular meetings and documentation are typical, ensuring clear communication across project stakeholders and ongoing progress toward project goals.

What engineers make $500,000 a year?

Control Theory Engineers in specialized industries such as aerospace, defense, or high-level research can earn $500,000 or more annually, especially with extensive experience, advanced degrees, and leadership roles. Compensation often includes bonuses, stock options, or profit sharing, reflecting the high level of expertise and responsibility required in these fields.
What are the most commonly searched types of Control Theory Engineer jobs in California? The most popular types of Control Theory Engineer jobs in California are:
What job categories do people searching Control Theory Engineer jobs in California look for? The top searched job categories for Control Theory Engineer jobs in California are:
What cities in California are hiring for Control Theory Engineer jobs? Cities in California with the most Control Theory Engineer job openings:
Infographic showing various Control Theory Engineer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 94% In-person, and 6% Remote job distribution.

CO-143 Algo and Control Engineer

Imagry

San Jose, CA โ€ข On-site

Full-time

Posted 17 days ago


Job description

Description
Senior Motion Planning & Control Engineer Imagry โ€ข San Jose, CA โ€ข 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