Controls Engineer (Robotics)

Location: Seattle, United States

Company

hirify.global develops autonomous heavy equipment by combining software, hardware, and robotics for earthmoving applications.

What you will do

• Design, implement, and tune feedback and feedforward controllers for machine and implement motion.
• Translate motion targets into coordinated actuator commands while accounting for machine dynamics and operating limits.
• Design experiments, develop models and system identification methods, and create repeatable calibration and tuning procedures.
• Implement production control software with diagnostics, clear interfaces, automated tests, and measurable performance criteria.
• Collaborate with planning, state estimation, embedded, hardware, systems, safety, and field teams to integrate and validate controllers.
• Progress testing from simulation and bench systems to controlled machine trials, then analyze telemetry and field logs to improve deployed behavior.

Requirements

• Bachelor’s or Master’s degree in Mechanical Engineering, Electrical Engineering, Robotics, Aerospace Engineering, or a related field, or equivalent practical experience.
• Experience designing, implementing, and tuning controllers on physical systems.
• Strong knowledge of feedback control, dynamic systems, stability, and discrete-time implementation.
• Practical experience with modeling, system identification, and experimental validation.
• Proficiency in C++ and experience with Python or MATLAB for analysis and development.
• Ability to diagnose issues across software, sensors, actuators, and mechanical systems, with a hands-on approach to machines.

Nice to have

• Experience with heavy equipment, off-road vehicles, mobile robotics, or systems operating under variable loads.
• Familiarity with model predictive, optimal, nonlinear, or adaptive control.
• Experience with real-time or embedded control software and CAN or similar machine communication interfaces.
• Experience with hydraulic or electrohydraulic systems, hardware-in-the-loop testing, automated controller calibration, or fault detection.