Control Systems and Embedded Engineering Consultant – Part Time Remote

• →Develop realistic control systems scenarios and embedded engineering use cases to support advanced AI training initiatives
• →Assess and refine AI-generated models, control strategies, and system behaviors for accuracy and robustness
• →Create simulation-driven validation workflows to test system performance under varying conditions
• →Diagnose instability, tuning issues, and modeling inaccuracies across dynamic systems
• →Contribute to early-stage research efforts, helping define new problem spaces and technical approaches

• Feedback control systems, including PID tuning and optimization
• Stability analysis and system dynamics
• State-space representation and modeling techniques
• Embedded systems design constraints, including real-time performance considerations

• Master’s or PhD in Electrical Engineering, Robotics, or a closely related discipline
• Deep knowledge in modeling, simulation, and system validation
• Proficiency in Python and engineering-focused computational tools
• Ability to work independently in a remote, research-oriented environment

• Exposure to robotics, autonomous systems, or intelligent machines
• Experience deploying solutions on real-world embedded platforms
• Familiarity with tools such as python-control, OpenModelica, or similar frameworks

• Flexible, part-time remote engagement with meaningful technical impact
• Opportunity to influence how AI systems learn from real-world engineering challenges
• Work alongside a highly technical, research-driven team pushing innovation forward
• Exposure to cutting-edge developments in AI, control systems, and embedded technologies

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