Live opening · Posted 7 days ago

Control System Engineer

Encoda Media · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyEncoda Media
LocationUnited States (Remote)
Work modeYes
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

Encoda Media, in partnership with micro1, is offering an exciting opportunity to contribute your expertise to help train AI models.
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.
Application process:
Participate in resume evaluation & ai interview
You may also explore additional opportunities with Micro1.
For regular updates, you can follow us Encoda Media for upcoming openings.

Work arrangement
Yes

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