Control System Engineer - Remote
YO AI Labs
Remote, United States
Posted
Role Title: Control Systems Engineer
Role Type: Contractor
Location: Remote
Required Skills
PID Control | Controller Design | Plant Modeling | System Identification | Real-System Deployment | LQR | MPC | Kalman Filtering | Python | Control Systems | Model Validation
Job Summary
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.
Key Responsibilities
- 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.
Originally posted on Himalayas