Robotics Autonomy Engineer - Planning and Control (Robotics)

Location: Fully onsite at the Mission Viejo, California office

Salary: $70,000–$200,000 per year, plus benefits and equity

Company

hirify.global develops risk-aware, reliable, field-ready AI systems for autonomous robots operating in complex and unpredictable real-world environments.

What you will do

• Design, develop, and refine motion and navigation planning algorithms for narrow passages, dynamic obstacles, and complex environments.
• Build optimization-driven path and trajectory generation methods for smooth, efficient, and reliable robot navigation.
• Develop and tune control algorithms for precise trajectory tracking and stable operation across wheeled, legged, and humanoid robotic systems.
• Integrate perception, planning, and control across the autonomy stack.
• Build testing pipelines from unit validation through full robot deployment, using simulation and regression testing.
• Analyze telemetry, debug field-deployment issues, and improve algorithm robustness and general-case performance.

Requirements

• Master’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
• Strong knowledge of motion planning, trajectory generation, and control systems.
• Experience developing algorithms for wheeled, legged, wheeled-legged, or humanoid robotic systems.
• Strong programming skills in C++ and Python on Linux-based systems.
• Familiarity with ROS or ROS 2 and robot sensors including LiDAR, stereo or depth cameras, IMUs, GPS, and wheel encoders.
• Ability to work fully onsite at the Mission Viejo, California office.

Nice to have

• PhD in a relevant field.
• Experience deploying autonomous systems in real-world environments.
• Background in optimization, control, or numerical methods for trajectory planning.
• Experience with learning-based or hybrid planning approaches, open-source planning or control frameworks, safety-critical autonomy, or industrial robotics.

Culture & Benefits

• Work on autonomous robots deployed in unstructured and previously unknown environments.
• Flexible working hours within an onsite work model.
• Full benefits, equity, and generous paid time off.
• Collaborative environment focused on creativity, resilience, interdisciplinary expertise, and inclusive participation.