Remote Control Engineer: PID & Real-Hardware Systems

Crossing Hurdles; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Crossing Hurdles seeks a control engineer to design and tune PID and advanced controllers for deployment on physical systems. You will develop plant models from first principles and validate them against empirical data, implementing and verifying control algorithms in Python using open source toolkits.

The role requires documenting engineering decisions and control strategies with clear communication, analyzing system performance, and iterating designs for optimal operation.

Qualifications

• Bachelor s degree in Control, Electrical, Mechanical, Mechatronics, or Aerospace Engineering.
• Strong relevant experience in controller design with proven real system deployment.
• Proficiency in building and validating physical plant models using first principles.
• Demonstrated delivery of classical and modern control methods on real hardware.
• Fluency in Python for control code development, debugging, and validation.

Responsibilities

• Design and tune PID and advanced controllers for deployment on physical systems.
• Develop plant models from first principles and validate against empirical data.
• Implement and verify control algorithms in Python using open source toolkits.
• Document engineering decisions and control strategies with clear communication.
• Analyze system performance and iterate on design for optimal operation.
• Collaborate remotely with interdisciplinary contributors while maintaining autonomy.

Skills

Controller design

Python

First-principles modeling

System validation on hardware

Documentation

Remote collaboration

Education

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

Job description

Crossing Hurdles seeks a control engineer to design and tune PID and advanced controllers for deployment on physical systems. You will develop plant models from first principles and validate them against empirical data, implementing and verifying control algorithms in Python using open source toolkits.

The role requires documenting engineering decisions and control strategies with clear communication, analyzing system performance, and iterating designs for optimal operation.