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Optimal Control Jobs (NOW HIRING)

Strong expertise in control theory including nonlinear control, model predictive control, and optimal control * Experience with state estimation techniques such as Kalman filters, particle filters ...

The longitudinal MPC is reallocated to be the consumer of the lateral optimized speed trace. Iterative lateral & longitudinal control/planning: when lateral offset is large and cannot reduce due to ...

Apply linear, non-linear, and optimal control techniques across both embedded and industrial platforms * Develop and maintain control systems for automation and robotic products * Support testing ...

The longitudinal MPC is reallocated to be the consumer of the lateral optimized speed trace. Iterative lateral & longitudinal control/planning: when lateral offset is large and cannot reduce due to ...

Optimal control-MPC, trajectory optimization, Hamilton-Jacobi reachability, dynamic programming, or stochastic control * Modern ML/AI-reinforcement learning, imitation learning, transformer ...

Model-based control (e.g., MPC, optimal control) * Extended Kalman Filters or nonlinear state estimation * RTOS-based embedded systems * ARM Cortex microcontrollers * Real-time signal processing

Model-based control (e.g., MPC, optimal control) * Extended Kalman Filters or nonlinear state estimation * RTOS-based embedded systems * ARM Cortex microcontrollers * Real-time signal processing

Model-based control (e.g., MPC, optimal control) * Extended Kalman Filters or nonlinear state estimation * RTOS-based embedded systems * ARM Cortex microcontrollers * Real-time signal processing

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How much do optimal control jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for optimal control in the United States is $21.73, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $25.00 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Optimal Control Engineer, and why are they important?

To excel as an Optimal Control Engineer, you need a strong background in control theory, applied mathematics, and engineering, often supported by a relevant degree such as electrical, mechanical, or aerospace engineering. Proficiency with tools like MATLAB, Simulink, and programming languages such as Python or C++, as well as familiarity with optimization algorithms, is essential. Analytical thinking, problem-solving, and effective communication are key soft skills for translating complex models into practical solutions. These skills are vital for designing and implementing efficient control systems that optimize performance and stability in real-world applications.

What are some common challenges faced by professionals working in Optimal Control, and how can these be addressed?

Professionals in Optimal Control often encounter challenges such as handling complex, high-dimensional systems, ensuring solutions remain computationally feasible, and balancing accuracy with real-time performance requirements. Collaboration with multidisciplinary teams—including system engineers, software developers, and data scientists—is essential to develop effective models and algorithms. Staying updated with the latest optimization techniques and leveraging advanced computational tools can help address these challenges, and many organizations support ongoing training or conference participation for career growth.

What is optimal control?

Optimal control is a branch of mathematics and engineering that focuses on finding a control policy for a dynamic system so that a specific objective, such as minimizing cost or maximizing performance, is achieved. It involves determining the best way to influence a system's behavior over time, typically through the use of differential equations and optimization techniques. Applications of optimal control can be found in areas like robotics, aerospace, economics, and process engineering.

What is the difference between Optimal Control vs Control Systems Engineer?

AspectOptimal ControlControl Systems Engineer
Required CredentialsDegree in Control Engineering, Applied Mathematics, or related fields; often requires knowledge of optimization and algorithmsDegree in Electrical, Mechanical, or Control Engineering; focuses on designing and implementing control systems
Work EnvironmentResearch, algorithm development, mathematical modeling, often in academia or R&DDesign, testing, and deployment of control systems in manufacturing, automation, or robotics
Industry UsageUsed in aerospace, robotics, finance, and advanced automation for optimal decision-makingApplied across industries for real-time control of machinery and processes

Optimal Control focuses on developing mathematical algorithms to determine the best control strategies, often involving complex optimization techniques. Control Systems Engineers implement and maintain these control strategies in practical systems. While both roles require a strong background in control theory, Optimal Control emphasizes theoretical and algorithmic development, whereas Control Systems Engineering centers on practical application and system integration.

More about Optimal Control jobs
What cities are hiring for Optimal Control jobs? Cities with the most Optimal Control job openings:
What states have the most Optimal Control jobs? States with the most job openings for Optimal Control jobs include:
Infographic showing various Optimal Control job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 65% Full Time, 10% Part Time, 3% Temporary, and 20% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $45,201 per year, or $21.7 per hour.
Postdoctoral Researcher in Dynamic Systems, Optimization, Control, and Energy Networks

Postdoctoral Researcher in Dynamic Systems, Optimization, Control, and Energy Networks

Los Alamos National Laboratory

Los Alamos, NM • On-site

$97K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

7th of 103 rated laboratories


Job description

Description
Job Title Postdoctoral Researcher in Dynamic Systems, Optimization, Control, and Energy Networks
Location Los Alamos, NM, US
Organization Name T-5/Applied Mathematics And Plasma Physics
Minimum Salary
Maximum Salary
What You Will Do
We are seeking qualified candidates to join the Theoretical Division (T-Division) at Los Alamos National Laboratory. T-Division offers a dynamic and intellectually stimulating environment that promotes interdisciplinary collaboration in support of the Laboratory's strategic basic research and national security missions. Within T-Division, the Applied Mathematics and Plasma Physics Group (T-5) conducts cutting-edge research in areas such as novel algorithms, numerical methods, and theoretical modeling. Applications span a wide range of fields, including fusion and high energy density science, space plasma physics, astrophysics, numerical analysis, machine learning, computational imaging, optimization, artificial intelligence, environmental science, and the modeling of critical infrastructure systems such as gas pipelines and electrical grids.
The selected candidate will work closely with mentors and other collaborators to develop novel algorithms for surrogate modeling, inference, parameter estimation, optimization, optimal control, and/or economic analysis of energy networks focusing on electric power and natural gas transmission and distribution. The work will involve developing new numerical methods that use spectral approximation, interior point optimization, and numerical linear algebra, potentially using high-performance computing on novel architectures and agentic artificial intelligence systems. A strong background in optimization and control with emphasis on numerical methods and algorithms is required, and a demonstrated ability to develop and test novel computational methods to address scientific and technical issues is preferred. The initial appointment is for two years, with the possibility of a third-year extension contingent on performance and available funding.
What You Need
Minimum Job Requirements:

Education/Experience : A Ph.D. in Applied Mathematics, Engineering, Computer Science, Computational Science, or a closely related field completed within the past five years or soon to be completed
  • Demonstrated ability to publish in scientific journals, and to communicate effectively, both written and orally.
  • Ability to collaborate effectively in a team environment and develop solutions for complex problems while networking with peers.
  • Expertise in dynamical systems, control theory, optimization, and network science
  • Proficiency in one or more of MATLAB, Python, Julia, Rust, and/or C/C++.

Desired Qualifications:
  • Experience in developing and implementing numerical methods for optimization in function space
  • Experience in scientific computing.
  • Experience with software development and version control.
  • Experience with quantitative economics.

Work Location : The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants:
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
When applying online, please include the following files with your application: a CV (please include month/year PhD expected/obtained) and a detailed cover letter describing the candidate's interest and qualifications in this research area.
Fellowship Opportunities: Candidates may be considered for a Director's Fellowship, CNLS Fellowship, Chick Keller Fellowship, Mark Kac Fellowship, or Nicholas C. Metropolis Fellowship.
Salary: Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. Starting salary for a new graduate is currently $97,000.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
§ PPO or High Deductible medical insurance with the same large nationwide network
§ Dental and vision insurance
§ Free basic life and disability insurance
§ Paid childbirth and parental leave
§ Award-winning 401(k) (6% matching plus 3.5% annually)
§ Learning opportunities and tuition assistance
§ Flexible schedules and time off (PTO and holidays)
§ Onsite gyms and wellness programs
§ Extensive relocation packages (outside a 50 mile radius)
Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
Instructions on How to Activate/Create a LANL Jobs Account:
Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
  • Select the Click Here button if you have been employed with the Lab or received insurance coverage .
  • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
  • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important : Enter the validation code within 15 days to activate your account or your account will be deactivated.

Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
  • Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
  • From here, you will establish an account with username and password.

How to Apply: Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip : To apply for a job or save your basket, you must have a LANL jobs account.

If you experience any technical issues, please email applyhelp@lanl.gov for assistance.
Employment Status Full Time
Appointment Type Postdoc
Postdoc

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