Principle Engineer, 3D Reconstruction

What you'll do

• Set the architecture and roadmap, develop early prototypes, and guide the transition to a robust internal platform.
• Define interfaces, output representations, quality standards, and validation strategies for reconstruction outputs.
• Lead and mentor engineers while coordinating requirements and technical tradeoffs across specialist teams.

What they ask for

• Deep expertise in SLAM, 3D reconstruction, mapping, state estimation, or a related robotics/perception field.
• Hands-on experience with lidar-based reconstruction, point-cloud registration, pose estimation, and real-world robotics sensor data.
• Experience building offline reconstruction, mapping, or perception systems for large volumes of sensor data and taking prototypes into reliable production systems.
• Strong software engineering skills in C++, Python, or similar robotics/perception environments.

Nice to have

• MS/PhD in a related technical field, or equivalent practical experience; autonomous vehicle, robotics, mapping, or ground-truth pipeline experience.
• Experience with position estimation, nonlinear optimization, machine learning for 3D reconstruction, or robotics tooling such as ROS, PCL, OpenCV, or CUDA.

Pay

$295.5K – $335.3K (base salary)

Tools

C++, Python, GNSS/INS, ROS, PCL, OpenCV, CUDA, ICP

AI focus

Develops offline 3D reconstruction and ground-truth outputs from vehicle sensor data to support validation, data enrichment, and model development; the posting also notes desired experience applying machine learning to reconstruction, mapping, or scene understanding.