Control System Engineer

RemoteJobsOne; Dubai; Remote; AED 152,000 - 253,000; Part time

Job summary

RemoteJobsOne is seeking an experienced Control System Engineer for a fully remote contractor role open to UAE-based professionals. You will design and tune PID and advanced controllers, build plant models, and implement algorithms in Python using open source toolkits while collaborating with a distributed team.

This role emphasizes autonomous work, state-space modeling, and robust real-world deployment. The ideal candidate holds 5+ years of hands-on experience beyond academia, with proficiency

Qualifications

• Bachelor’s degree in Control, Electrical, Mechanical, Mechatronics or Aerospace Engineering.

Responsibilities

• Design and tune PID and advanced controllers (e.g. LQR, MPC, Kalman Filters) for deployment on physical systems.
• Develop plant models from first principles and validate them against empirical data.
• Implement and verify control algorithms in Python using open source toolkits (python-control, SciPy, CasADi, do-mpc, OpenModelica).
• Document engineering decisions and control strategies with clear written communication and engage in verbal discussions.
• Analyze system performance, identify areas for improvement, and iterate for optimal real-world operation.
• Collaborate remotely with interdisciplinary contributors while maintaining autonomy and technical independence.

Skills

PID control

LQR

MPC

Kalman filtering

Python programming

State-space modelling

First principles modelling

Data-driven methods

English communication

ROS

Education

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

Tools

python-control

SciPy

CasADi

do-mpc

Julia ControlSystems

OpenModelica

Job description

IMPORTANT: after you apply please check your email. We send you a link to complete your application it is not considered until that last step is done. If you do not see it check your spam folder.

This is a fully remote position open to candidates based in United Arab Emirates.

Pay: $30$50/hr

Role Title: Control System Engineer

Role Type: Contractor

Location: Remote

We are engaging Control System Engineers to contribute their advanced technical expertise to an exciting customer project focused on real-world control this role youll apply your expertise to help train next-generation AI systems. Your work will shape how models learn reason and perform through high-quality real-world input. No prior experience in AI is required your domain knowledge is what matters. This opportunity is ideal for professionals passionate about shipping robust controllers modeling complex plants and applying both classical and modern control strategies in tangible environments.

Scope of Work

1. Design and tune PID and advanced controllers (e.g. LQR MPC Kalman Filters) for deployment on physical systems such as robotics drones automotive or industrial hardware.
2. Develop plant models from first principles and validate them against empirical data using state-space and transfer function methodologies.
3. Implement and verify control algorithms in Python using open source toolkits (e.g. python-control SciPy CasADi do-mpc Julia ControlSystems OpenModelica).
4. Document engineering decisions and control strategies with clear high-quality written communication and engage in effective verbal discussions as required.
5. Analyze system performance identify areas for improvement and iterate on design for optimal real-world operation.
6. Collaborate remotely with interdisciplinary contributors while maintaining autonomy and technical independence.

Preferred Qualifications

1. Bachelors degree (or higher) in Control Electrical Mechanical Mechatronics or Aerospace Engineering.
2. Over 5 years of hands-on controller design experience post-degree with proven real system deployment (not simulation-only).
3. Proficiency in building and validating physical plant models using first principles and data-driven methods.
4. Demonstrated delivery of both classical (PID) and at least one modern control method (LQR MPC or Kalman) on real hardware.
5. Fluency in Python for control code development debugging and validation using open source stacks.
6. Exceptional written and verbal English communication skills focused on clarity and precision.
7. Additional strengths such as a Masters or PhD production MPC with tools like do-mpc or CasADi Modelica/OpenModelica modeling Julia proficiency system identification embedded C/C ROS nonlinear/robust/adaptive control or contributions to publications/open source are valued.

Employment Type : Full Time
Experience: years
Vacancy: 1
Hourly Salary Salary: 30 - 50