Remote Control Systems Engineer for Real-World AI Training

SaidGig; New York (NY); Remote; USD 41,000 - 69,000; Full time

Job summary

SaidGig seeks a senior control engineer to design and tune PID and advanced controllers for real-world hardware. You will build high-fidelity plant models and validate them against measurements, while implementing algorithms in Python using open-source toolchains.

Responsibilities include performance analysis, iterative improvement, and precise documentation with clear written and verbal communication. Remote collaboration across disciplines is essential.

Qualifications

• Degree in control, electrical, mechanical, mechatronics, or aerospace engineering.
• 5+ years hands-on controller-design experience on real systems.
• Experience designing PID controllers and validating with first-principles and data.
• Experience delivering PID control and LQR/MPC/Kalman on real hardware.
• Python proficiency for control-code development and validation.
• Strong written and verbal English communication.

Responsibilities

• Design and tune PID and advanced controllers for physical systems.
• Develop plant models from first principles and validate with data.
• Implement and verify control algorithms in Python using open-source tools.
• Analyze system performance, identify improvements, and iterate designs.
• Document control strategies and engineering decisions clearly.
• Collaborate remotely with interdisciplinary contributors.

Skills

PID control

LQR

MPC

Kalman filtering

Python programming

Control system modeling

Written communication

Education

Bachelor's degree in Control Engineering

Master's degree (preferred)

Tools

python-control

SciPy

CasADi

do-mpc

OpenModelica

Modelica/OpenModelica

Julia ControlSystems

Job description

SaidGig seeks a senior control engineer to design and tune PID and advanced controllers for real-world hardware. You will build high-fidelity plant models and validate them against measurements, while implementing algorithms in Python using open-source toolchains.

Responsibilities include performance analysis, iterative improvement, and precise documentation with clear written and verbal communication. Remote collaboration across disciplines is essential.