Control System Engineer

Contract · Remote

Annual Compensation Equivalent: $57,600–$96,000
Hourly Rate: $30–$50/hr

Annual compensation equivalent is calculated at 40 hours per week across 48 workable weeks per year and is not a guaranteed salary.

About the Role

We are seeking experienced Control System Engineers to apply advanced control engineering expertise to real-world systems and AI evaluation workflows.

The role focuses on designing, tuning, modeling, implementing, and validating robust control systems for physical applications such as robotics, drones, automotive systems, and industrial hardware.

You will work across classical and modern control approaches, develop plant models from first principles and empirical data, and translate control strategies into implementations suitable for real-world deployment.

No prior AI experience is required. The role is centered on your control engineering expertise and practical experience deploying controllers on physical systems.

What You’ll Do

• Design and tune PID controllers and advanced control strategies such as LQR, MPC, and Kalman filtering.

• Develop controllers for physical systems including robotics, drones, automotive platforms, and industrial hardware.

• Build plant models from first principles and validate them against empirical data.

• Apply state-space and transfer-function modeling methodologies.

• Implement and verify control algorithms using Python.

• Work with open-source control and modeling tools such as Python Control, SciPy, CasADi, do-mpc, Julia ControlSystems, and OpenModelica.

• Analyze real-world system performance and identify opportunities for improvement.

• Iterate on controller design to improve stability, performance, and operational reliability.

• Document control strategies, engineering decisions, assumptions, and validation results clearly.

• Communicate technical findings effectively in written and verbal discussions.

• Collaborate remotely with interdisciplinary contributors while maintaining technical independence.

What We’re Looking For

• Bachelor’s degree or higher in Control Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, or a related discipline.

• 5+ years of hands-on controller design experience after completing your degree.

• Demonstrated experience deploying control systems on real physical hardware, not simulation-only work.

• Strong experience developing and validating physical plant models using first-principles and data-driven approaches.

• Experience delivering classical control systems such as PID on real hardware.

• Experience implementing at least one modern control method, such as:

  • Linear Quadratic Regulator (LQR)

  • Model Predictive Control (MPC)

  • Kalman filtering

• Strong Python skills for control development, debugging, simulation, and validation.

• Experience with open-source control engineering toolchains.

• Excellent written and verbal English communication skills.

• Ability to explain technical decisions clearly and precisely.

Preferred Technical Experience

Additional experience in the following areas is valuable:

• Master’s or PhD in a relevant engineering discipline

• Production MPC using CasADi or do-mpc

• Modelica or OpenModelica

• Julia and Julia-based control systems

• System identification

• Embedded C/C++

• ROS

• Nonlinear control

• Robust control

• Adaptive control

• Technical publications

• Open-source control engineering contributions

Engagement & Compensation

• Contract engagement

• Remote

• Compensation: $30–$50/hr

• Annual compensation equivalent: $57,600–$96,000 based on a 40-hour workweek and 48 workable weeks per year

• Actual earnings depend on hours worked and available project scope