Himalayas · Partner listing🌍 Control System Engineer, Remote- Contract
Xperteez Technology
⌖ WorldwideSalary not providedRemoteContract · Not specified
Source: Himalayas ↗
Location & working arrangementWorking arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.
Provider location / applicant eligibility: Worldwide
About the role
Role Title: Control System Engineer
Role Type: Contract
Location: Remote
Required Skills:
PID
controller design
Plant modelling
Real system deployment
In this role, you'll 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:
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.
Develop plant models from first principles and validate them against empirical data using state-space and transfer function methodologies.
Implement and verify control algorithms in Python using open source toolkits (e.g., python-control, SciPy, CasADi, do-mpc, Julia ControlSystems, OpenModelica).
Document engineering decisions and control strategies with clear, high-quality written communication, and engage in effective verbal discussions as required.
Analyze system performance, identify areas for improvement, and iterate on design for optimal real-world operation.
Collaborate remotely with interdisciplinary contributors while maintaining autonomy and technical independence.
Preferred Qualifications:
Bachelor’s degree (or higher) in Control, Electrical, Mechanical, Mechatronics, or Aerospace Engineering.
Over 5 years of hands-on controller design experience post-degree, with proven real system deployment (not simulation-only).
Proficiency in building and validating physical plant models using first principles and data-driven methods.
Demonstrated delivery of both classical (PID) and at least one modern control method (LQR, MPC, or Kalman) on real hardware.
Fluency in Python for control code development, debugging, and validation using open source stacks.
Exceptional written and verbal English communication skills, focused on clarity and precision.
Additional strengths such as a Master’s 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.
Originally posted on Himalayas
Skills mentioned in the listing
PythonC++Mechatronics
Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.
Why these skills appear
Python · mentioned
d transfer function methodologies. Implement and verify control algorithms in Python using open source toolkits (e.g., python-control, SciPy, CasADi, do-mpc, Julia ControlSystems, OpenModelica). Document engineering
C++ · requirement-context
ica/OpenModelica modeling, Julia proficiency, system identification, embedded C/C++, ROS, nonlinear/robust/adaptive control, or contributions to publications/open source are valued. Originally posted on Himalayas
Mechatronics · mentioned
fications: Bachelor’s degree (or higher) in Control, Electrical, Mechanical, Mechatronics, or Aerospace Engineering. Over 5 years of hands-on controller design experience post-degree, with proven real system deploymen