[Hiring] Control Systems Engineer @YO AI Labs

Role Description

We are seeking experienced Control Systems Engineers to support a project focused on real-world control systems and AI training. The role involves designing, modeling, implementing, and validating controllers for physical systems.

• Design and tune PID and advanced controllers such as LQR, MPC, and Kalman filters.
• Develop and validate plant models using first-principles and empirical data.
• Implement and test control algorithms using Python and relevant control libraries.
• Deploy and validate controllers on real-world hardware.
• Analyze system performance and optimize control strategies.
• Document technical decisions and collaborate with interdisciplinary teams.

Qualifications

• Bachelor's degree or higher in Control, Electrical, Mechanical, Mechatronics, or Aerospace Engineering.
• 5+ years of hands-on controller design experience.
• Proven experience deploying controllers on real physical systems.
• Strong knowledge of plant modeling, system identification, and control theory.
• Proficiency in Python and control-system development.
• Experience with PID and at least one modern control method such as LQR, MPC, or Kalman filtering.
• Strong technical communication skills.
• Experience with CasADi, do-mpc, Modelica, ROS, embedded C/C++, or nonlinear/robust control is a plus.

Company Description