CONTRACTORRemoteActive
Control System Engineer
Contribute advanced control engineering expertise to a customer project focused on real-world control solutions and AI training. Design and tune controllers, develop and validate plant models, implement control algorithms in Python, analyze system performance, and provide engineering insights based on real hardware deployment across robotics, drones, automotive, or industrial systems.
Salary
USD30 - USD50 / hour
Department
Control Systems & AI Engineering
Experience
Over 5 years of hands-on controller design experience after completing a relevant engineering degree, with proven deployment of controllers on real physical systems
Curated by Farooq77 Jobs
Role fit snapshot
- Engagement
- Remote contractor | micro1 application platform
- Experience
- Minimum recorded experience: Over 5 years of hands-on controller design experience after completing a relevant engineering degree, with proven deployment of controllers on real physical systems
- Core expertise
- Control Systems & AI Engineering | PID Controller Design | Controller Tuning | Plant Modelling
- Named tools
- Python
- Geographic eligibility
- Not specified beyond Remote
- Listing dates
- Posted 2026-09-23 | Valid through 2026-10-23
- Compensation
- Recorded compensation: $30-$50/hour
Responsibilities
- Design and tune PID and advanced controllers such as LQR, MPC, and Kalman Filters for physical systems.
- Develop plant models from first principles and validate them against empirical data using state-space and transfer function methodologies.
- Implement and verify control algorithms in Python using open-source control toolkits.
- Document engineering decisions and control strategies through clear written communication and technical discussions.
- Analyze system performance, identify improvement opportunities, and iterate on controller designs for real-world operation.
- Collaborate remotely with interdisciplinary contributors while maintaining technical autonomy and independence.
Skills
PID Controller DesignController TuningPlant ModellingReal System DeploymentLQRMPCKalman FiltersState-Space ModellingTransfer FunctionsPythonpython-controlSciPyCasADido-mpcJulia ControlSystemsOpenModelicaSystem IdentificationControl Algorithm DevelopmentControl ValidationRoboticsDronesAutomotive SystemsIndustrial Control
Requirements
- Bachelor’s degree or higher in Control, Electrical, Mechanical, Mechatronics, or Aerospace Engineering.
- Over 5 years of hands-on controller design experience after completing a relevant degree.
- Proven experience deploying controllers on real physical systems rather than simulation-only projects.
- Proficiency in building and validating physical plant models using first-principles and data-driven methods.
- Demonstrated delivery of classical PID control and at least one modern control method such as LQR, MPC, or Kalman filtering on real hardware.
- Fluency in Python for control code development, debugging, and validation using open-source stacks.
- Exceptional written and verbal English communication skills with a focus on clarity and precision.
- Master’s or PhD is a plus.
- Experience with production MPC using do-mpc or CasADi, Modelica/OpenModelica, Julia, system identification, embedded C/C++, ROS, nonlinear control, robust control, adaptive control, publications, or open-source projects is valued.
Benefits
- Remote contractor opportunity.
- Compensation of $30–$50 per hour.
- Opportunity to contribute real-world control engineering expertise to next-generation AI systems.
- No prior AI experience required.
- Opportunity to work on physical-system control problems across robotics, drones, automotive, and industrial applications.
Before you apply
- Confirm that your location is eligible for the role.
- Confirm the employment or contract type.
- Verify the current compensation at the official source.
- Review the required skills and experience.
- Check that the listing is still open before applying.
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