An opportunity is available for a Control System Engineer to support AI development and evaluation projects. There are currently 10 openings available.
Job Responsibilities
- 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).
- Document engineering decisions and control strategies with clear, high-quality written communication, and engage in effective verbal discussions as required.
- 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.
Compensation: $30 - $50/hr.
Location / Region: Remote.
Relevant skills include:
- Pid
- Controller design
- Plant modelling
- Real system deployment
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