Controls Engineer (Robotics)

Location: San Francisco, United States; on-site

Company

hirify.global develops learning-based robotic systems and platforms.

What you will do

• Design and implement PID, LQR, MPC, inverse dynamics, and feedforward control algorithms.
• Build and validate physical and inverse dynamics models for simulation and control design.
• Develop and optimize real-time control loops, including neural-network-driven control.
• Integrate and tune robotic arms, mobile bases, teleoperation systems, and full-body platforms.
• Debug hardware, software, and runtime issues in complex electromechanical systems.
• Build sensor and actuator subsystems and collaborate with research, hardware, platform, and operations teams.

Requirements

• Deep understanding of model-based control algorithms and inverse dynamics.
• Ability to validate control approaches in simulation and transfer them to real hardware.
• Proficiency in Python and C++, including firmware-adjacent development.
• Experience writing and tuning real-time control loops.
• Hands-on ability to debug electromechanical systems end to end.
• Familiarity with CAN, SPI, I2C, and Ethernet communication protocols.

Nice to have

• Experience with manipulation or mobile robotic platforms.
• Exposure to robot learning or integrating learned policies into control stacks.
• Ability to design or refine custom actuator or sensor hardware.

Culture & Benefits

• Collaborate directly with researchers, hardware teams, platform engineers, and operators.
• Prototype configurations, collect structured datasets, and iterate with research teams.
• Work on real-time robotic systems operating in unpredictable environments.