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.
Skills Required
- PID controller design and tuning
- Plant modeling
- Real system deployment experience
- Bachelor’s degree or higher in Control, Electrical, Mechanical, Mechatronics, or Aerospace Engineering
- Over 5 years of hands-on controller design experience after completing a degree
- Experience building and validating physical plant models using first-principles and data-driven methods
- Experience deploying PID and at least one modern control method such as LQR, MPC, or Kalman filtering on real hardware
- Fluency in Python for control code development, debugging, and validation
- Exceptional written and verbal English communication skills
- Production MPC experience with do-mpc or CasADi
- Modelica or OpenModelica modeling experience
- Julia proficiency
- System identification experience
- Embedded C or C++ experience
- ROS experience
- Nonlinear, robust, or adaptive control experience
- Publications or open-source contributions
What We Do
Xperteez Technology is a business consulting and recruitment firm that bridges the gap between business needs and talent. The company specializes in providing IT consulting, digital marketing, and comprehensive recruitment solutions across various sectors, including BFSI, manufacturing, and e-commerce. They focus on connecting qualified job seekers with direct payroll opportunities at leading companies across India, emphasizing growth and technological excellence.
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