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Control System Engineer - Remote

YO AI Labs · United States · 2026-11-07

seniorRemote
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About this role

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

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