Principal Engineer, 3D Reconstruction (AI/Robotics)

TL;DR

Principal Engineer, 3D Reconstruction (AI/Robotics): Leading the development of offline 3D reconstruction capabilities to build high-quality world geometry from vehicle sensor data with an accent on localization, mapping, and sensor fusion. Focus on turning raw sensor data into reliable 3D ground-truth outputs and setting the technical direction for reconstruction architecture.

Location: Hybrid in Sunnyvale, California, USA

Company

hirify.global is a leading developer of Embodied AI technology creating mapless and hardware-agnostic AI products for automated driving.

What you will do

• Define the technical architecture and roadmap for the offline 3D reconstruction system.
• Lead the development of MVPs to unblock high-priority internal use cases.
• Establish core technical interfaces, output representations, and tools for internal customers.
• Partner with calibration, sensor fusion, perception, and infrastructure teams to align requirements.
• Set technical standards for reconstruction quality, failure analysis, and uncertainty measurement.
• Mentor and provide technical leadership to engineers contributing to the 3D reconstruction effort.

Requirements

• Deep technical expertise in SLAM, 3D reconstruction, mapping, or state estimation.
• Strong hands-on experience with lidar-based reconstruction, point-cloud registration, and pose estimation.
• Strong software engineering skills in C++, Python, or similar robotics environments.
• Experience taking research or prototype algorithms into reliable production systems.
• Ability to define technical strategy and roadmaps in ambiguous problem spaces.
• Must be based in or able to work in a hybrid setup in Sunnyvale, California.

Nice to have

• MS/PhD in Robotics, Computer Science, State Estimation, or a related technical field.
• Experience with GNSS/INS fusion or other high-accuracy position estimation approaches.
• Experience with nonlinear optimization techniques (pose graph optimization, factor graphs, ICP).
• Application of modern ML and foundation models to 3D reconstruction or scene understanding.
• Familiarity with robotics tooling such as ROS, PCL, OpenCV, or CUDA.

Culture & Benefits

• Hybrid working policy combining office collaboration with work-from-home flexibility.
• Core working hours allow you to determine the schedule that works best for your team.
• Inclusive work environment that values diversity and embraces new perspectives.
• Fast-paced environment focused on solving complex challenges in autonomous driving.