Robotics AI Engineer – Calibration, Localization, and Mapping (Robotics)

Location: Fully onsite in Irvine, California, United States

Salary: $70,000–$300,000 annual

Company

hirify.global develops embodied AI and autonomous robotic systems for construction, security, mining, and manufacturing, including quadrupeds and humanoids operating in unstructured environments.

What you will do

• Design and implement calibration, localization, and mapping algorithms for autonomous robots.
• Develop tools and metrics to validate and benchmark calibration, localization, and mapping subsystems.
• Write clean, efficient, and maintainable C++ and Python code.
• Integrate and deploy algorithms into real-world robotic systems with cross-functional teams.

Requirements

• Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, or 3D mapping.
• Strong foundation in linear algebra, probability, numerical optimization, 3D geometry, Lie theory, and 3D kinematics.
• Practical experience with linear and nonlinear state estimation, sensor fusion, sensor calibration, and time synchronization.
• Familiarity with LiDAR-inertial and visual-inertial odometry and SLAM algorithms.
• Strong proficiency in C++ and Python, including maintainable and efficient software development.
• Understanding of ROS and experience designing, building, and deploying nodes in complex robotic systems.

Nice to have

• Publications or patents in calibration, state estimation, odometry, or SLAM.
• Experience with noisy sensor measurements and outlier-resilient algorithms.
• Experience designing efficient, real-time algorithms for computationally constrained platforms.
• Experience with radar, doppler-LiDAR, GPS, or other sensing modalities.
• Experience with modern version control and project management tools.

Culture & Benefits

• In-person collaboration is required for this role, with flexible hours supporting work-life balance.
• Work on field-deployed robotic systems addressing complex challenges in unstructured environments.
• Collaborate with an interdisciplinary team across AI, software engineering, product design, field deployment, and communications.
• Inclusive workplace with evaluation based on merit, qualifications, and performance.