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Control Theory Jobs (NOW HIRING)

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.

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.

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

Bodega Bay, CA · On-site

$181.10K - $318.40K/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 ...

Control Systems Engineer

San Francisco, CA · On-site

$181.10K - $318.40K/yr

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 ...

Platform Control Lead

Clarksburg, MD · On-site

$175K - $250K/yr

The ideal candidate will have a strong background in control theory, AI, as well as a passion for developing advanced control systems for autonomous vehicles. You will be responsible for owning the ...

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

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Control Theory information

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How much do control theory jobs pay per hour?

As of May 28, 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 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 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 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 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.

More about Control Theory jobs
Infographic showing various Control Theory job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 80% Physical, and 20% Remote job distribution, with an average salary of $50,826 per year, or $24.4 per hour.
Assistant Project Scientist - Control Theory for Theoretical Neuroscience - Helen Wills Neuroscie...

Assistant Project Scientist - Control Theory for Theoretical Neuroscience - Helen Wills Neuroscie...

University of California, Berkeley

Berkeley, CA • On-site

Other

Posted 17 days ago


University Of California Berkeley rating

8.6

Company rating: 8.6 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

49th of 528 rated colleges and universities


Job description

Position overview
Position title: Assistant Project Scientist
Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment.
See the following table for the current salary scale for this position: Table 37 A reasonable full-time estimate for this position is $79,400 to $92,200.
Percent time: 100%
Anticipated start: Summer 2026
Position duration: Initial appointment is for one year with the possibility of renewal based on performance and funding availability.
Application Window
Open date: May 22, 2026
Next review date: Sunday, Jun 7, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Wednesday, Jun 24, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Helen Wills Neuroscience Institute at the University of California, Berkeley seeks applications for an Assistant Project Scientist rank in the Bouchard Lab, in the area of control theory for theoretical neuroscience. The Bouchard lab at LBNL/UC Berkeley is an interdisciplinary team that focuses on understanding how distributed neural circuits give rise to coordinated behaviors and perceptions. We are looking for an Assistant Project Scientist to work at the interface of control theory, information theory, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual lenses of control theory and information theory. This position will focus on developing and applying theory, models, and methods that provide principled understanding of simultaneous multi-region, high-dimensional neural population dynamics from diverse brain areas.
The position is located at UC Berkeley (UCB) and Lawrence Berkeley National Laboratory (LBNL), and is part of a broader collaborative effort between UCSF, LBNL, UCB, and UC Davis. This Bay Area collaboration combines UCSF/UCD's strong clinical and experimental neuroscience experience with in vivo cortical electrophysiology, UCB's expertise in theoretical neuroscience, statistical learning and data analysis, LBNL's supercomputing and applied mathematics, together with electronics and micro-fabrication. Successful applicants will have access to the full range of facilities and expertise uniquely allowed by this collaboration.
Qualifications
Basic qualifications (required at time of application)
PhD (or equivalent international degree) or enrolled in a PhD degree program (or equivalent international degree)
Additional qualifications (required at time of start)
Minimum of four years of postdoctoral research experience
Preferred qualifications
+Experience in control theory, information theory, and/or machine learning required.
+Expertise in theoretical neuroscience preferred
+Excellent writing and communication skills
+Strong publication record in peer reviewed journals
+PhD in neuroscience, computer science, physics, electrical engineering, mechanical engineering, etc.,
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
    (Optional)

Reference requirements
  • 3 required (contact information only)
Apply link: https://aprecruit.berkeley.edu/JPF05380
Help contact: kebouchard@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy ( APM 210 1-d ). These values are embedded in our Principles of Community , which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy .
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Job location
Berkeley, CA

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