Control System Engineer - Remote
TypeContract
LocationUnited States
Posted2 hours ago
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
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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