Robotics Control Engineer (AI)

Location: Seattle, United States; hybrid

Company

hirify.global develops AI-powered autonomous fleets from heavy machinery for mining, infrastructure, and defense operations.

What you will do

• Develop, automate, implement, and validate advanced control and learning algorithms for embodied robotic systems.
• Design experiments to improve control robustness, precision, and adaptability across tasks and environments.
• Combine classical and learning-based control methods, including MPC, imitation learning, and reinforcement learning.
• Integrate AI control stacks into production platforms in collaboration with perception and systems engineers.
• Use simulation, digital twins, and expert demonstrations to accelerate control policy development and deployment.
• Track research advances in control theory, reinforcement learning, and embodied AI.

Requirements

• 5+ years of industry experience.
• Production-level experience delivering robotic control systems in real-world deployments, such as autonomous vehicles, manipulators, humanoid robots, or mobile robots.
• Strong knowledge of modern control techniques, including MPC, adaptive control, and system identification.
• Deep understanding of reinforcement learning, imitation learning, and optimization for dynamic systems.
• Proficiency in Python and familiarity with C++ for real-time robotics applications.
• Experience with high-fidelity simulators such as Isaac Sim, Omniverse, or Mujoco, plus strong communication and teamwork skills.

Culture & Benefits

• Work on production-hardened autonomous systems rather than experimental prototypes.
• Apply robotics and AI to mining, large-scale infrastructure, and defense operations.
• Collaborate across AI research, perception, and robotic systems engineering.