🌍 Control System Engineer, Remote- Contract

Responsibilities

• controller design
• Real system deployment
• Design and tune PID and advanced controllers (e.g., LQR, MPC, Kalman Filters) for deployment on physical systems such as robotics, drones, automotive, or industrial hardware.
• 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 toolkits (e.g., python-control, SciPy, CasADi, do-mpc, Julia ControlSystems, OpenModelica).
• Analyze system performance, identify areas for improvement, and iterate on design for optimal real-world operation.
• Collaborate remotely with interdisciplinary contributors while maintaining autonomy and technical independence.
• Over 5 years of hands-on controller design experience post-degree, with proven real system deployment (not simulation-only).
• Proficiency in building and validating physical plant models using first principles and data-driven methods.
• Fluency in Python for control code development, debugging, and validation using open source stacks.

Languages