Mechanical Control System Engineer (Dynamic Modeling)

Candidates can sit out of Forth Worth, TX. Dayton, OH, or Saint George, UT email Matthew Claxton if you think you are a good fit

Job Title:

Mechanical Control System Engineer (Dynamic Modeling) Job Description The Mechanical Control Systems Engineer is responsible for developing and validating advanced system-level controls through dynamic modeling and simulation. This role requires deep expertise in dynamic systems, control theory, and transient system behavior to support upstream development of complex engineered systems. The engineer will design, develop, and validate high-fidelity dynamic plant and control models using tools such as Simulink, with a strong emphasis on control system robustness, stability, and performance. The position focuses on virtual integration, transient response analysis, and requirements development rather than physical lab testing. This role owns the development of Hardware in the Loop (HIL) environments used to simulate real-world and edge-case conditions, ensuring control strategies perform correctly under dynamic operating scenarios. The engineer will define and decompose system-level software and controls requirements, ensuring they are rooted in sound control theory principles and aligned to dynamic system performance objectives. Responsibilities + Develop high-fidelity dynamic models of plant systems and control algorithms with emphasis on transient and nonlinear behavior. + Apply control theory principles (stability, feedback control, state-space modeling, frequency response) to system design and validation. + Create, maintain, and execute Hardware in the Loop (HIL) simulation environments. + Analyze system performance under transient, steady-state, and edge-case conditions. + Define and write system-level controls and software requirements based on dynamic system behavior. + Decompose system requirements into component-level specifications (sensors, actuators, sampling rates, tolerances). + Perform compliance analysis against dynamic performance and stability requirements. + Distribute validated models, requirements, and findings to software, controls, and hardware teams. + Collaborate cross-functionally to ensure alignment between control strategies, software implementation, and system performance. + Continuously improve modeling accuracy, simulation fidelity, and control system robustness. Essential Skills + Advanced proficiency in Simulink for dynamic systems modeling and control design. + Strong experience in control systems engineering and dynamic systems modeling. + Deep understanding of control theory (PID, state-space, stability analysis, frequency domain methods). + Experience with transient system analysis and dynamic response modeling. + Experience developing and executing Hardware in the Loop (HIL) simulations. + Ability to translate dynamic system behavior into actionable software and control requirements. + Strong analytical, mathematical, and systems thinking skills. + Ability to work cross-functionally with software, mechanical, and electrical engineering teams. + Strong technical documentation and communication skills. Additional Skills & Qualifications + Bachelor's or Master's degree in Control Systems Engineering, Electrical Engineering, Mechanical Engineering, or Systems Engineering. + Strong academic foundation in control theory, dynamic systems, or related disciplines preferred. + Experience with advanced modeling techniques, simulation-based validation, or digital twin environments. + Familiarity with aerospace or highly regulated engineering environments is a plus. Work Environment The work environment emphasizes virtual integration, utilizing advanced technologies and tools such as Simulink for dynamic modeling and Hardware in the Loop (HIL) simulation. The focus is on ensuring robust, stable, and high-performance control systems through dynamic analysis and simulation, rather than physical lab testing. Collaboration across software, mechanical, and electrical engineering teams is essential, with a commitment to improving modeling accuracy and control system robustness. Job Type & Location This is a Contract position based out of Fort Worth, TX. Pay and Benefits The pay range for this position is $45.00 - $62.50/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Fort Worth,TX.

Application Deadline This position is anticipated to close on May 27, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance:

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.