About this opportunity
Confidential lists this Control System Engineer opportunity in Terrell, North Carolina. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Role Overview
Apply control engineering expertise to help train next-generation AI systems using high-quality, real-world technical input. This remote contract role focuses on designing and deploying robust controllers, modeling complex physical plants, and improving real-world system performance. No prior AI experience is required.
Key Responsibilities
Design and tune PID and advanced controllers, including LQR, MPC, and Kalman filters, for physical systems such as robotics, drones, automotive platforms, and industrial hardware.
Develop plant models from first principles and validate them against empirical data using state-space and transfer-function methods.
Implement and verify control algorithms in Python using open-source tools such as python-control, SciPy, CasADi, do-mpc, Julia ControlSystems, and OpenModelica.
Analyze system performance, identify improvements, and iterate on designs for optimal real-world operation.
Document control strategies and engineering decisions clearly, and participate in precise written and verbal technical discussions.
Collaborate remotely with interdisciplinary contributors while working with technical independence.
Qualifications
Bachelor’s degree or higher in Control, Electrical, Mechanical, Mechatronics, or Aerospace Engineering.
More than 5 years of hands-on controller-design experience after completing your degree, including deployment on real systems rather than simulation-only work.
Experience designing PID controllers, building physical plant models, and validating models through first-principles and data-driven approaches.
Demonstrated delivery of PID control and at least one modern method, LQR, MPC, or Kalman filtering, on real hardware.
Python proficiency for control-code development, debugging, and validation with open-source toolchains.
Exceptional written and verbal English communication skills with an emphasis on clarity and precision.
Additional valued experience includes a Master’s or PhD, production MPC using do-mpc or CasADi, Modelica or OpenModelica, Julia, system identification, embedded C/C++, ROS, nonlinear, robust, or adaptive control, and publication or open-source contributions.
Work Terms
Remote contract engagement.
Compensation
$30 to $50 per hour.
Application Process
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.