Control System Engineer - Remote

YO AI Labs; New York (NY); Remote; USD 110,000 - 165,000; Full time

Job summary

YO AI Labs is 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.

You will design and tune PID and advanced controllers such as LQR, MPC, and Kalman filters, develop plant models, and deploy controllers on real hardware using Python and control libraries.

Qualifications

• Bachelor's degree or higher in Control, Electrical, Mechanical, Mechatronics, or Aerospace.
• 5+ years 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 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.

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.

Skills

PID Control

Controller Design

Plant Modeling

System Identification

Real-System Deployment

LQR

MPC

Kalman Filtering

Python

Control Systems

Model Validation

Education

Bachelor's degree or higher in Control, Electrical, Mechanical, Mechatronics, or Aerospace Engineering

Tools

CasADi

do-mpc

Modelica

ROS

embedded C/C++

Job description

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.