Senior Staff Software Engineer, Geometric Computer Vision, Google Beam

Responsibilities

• Write high-performance, production-grade C++ software for real-time 3D perception and calibration.
• Architect multi-camera calibration and non-linear spatial optimization pipelines.
• Conduct code and design reviews for engineers across tracking and calibration teams.
• Collaborate with hardware and systems teams to calibrate multi-camera arrays and handle optical variations.
• Define interface boundaries between learned and geometric reconstruction modules in partnership with machine learning research and hardware teams.
• - Write high-performance, production-grade C++ software for real-time 3D perception and calibration. - Architect multi-camera calibration and non-linear spatial optimization pipelines. - Conduct code and design reviews for engineers across tracking and calibration teams. - Collaborate with hardware and systems teams to calibrate multi-camera arrays and handle optical variations. - Define interface boundaries between learned and geometric reconstruction modules in partnership with machine learning research and hardware teams.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor's degree in Computer Science, Computer Vision, Robotics, or equivalent practical experience. - 8 years of experience in software development using modern C++, multithreading, and systems optimization. - 7 years of experience leading technical project strategy and architecture for 3D tracking, camera calibration, or multi-view geometry. - 5 years of experience with Geometric Computer Vision, video generation, or signal processing. - 5 years of experience with design and architecture, and testing or launching software products. Preferred qualifications: - PhD degree in Computer Vision, Robotics, 3D Graphics, or a related technical field. - 8 years of experience with data structures and algorithms. - 5 years of experience in a technical leadership role deploying computer vision algorithms on custom hardware or cameras. - 3 years of experience working in a complex, matrixed organization involving cross-functional research and engineering teams. - Experience with hybrid geometric-learning approaches (e.g., NeRFs, 3D Gaussian Splatting) and a publication record in computer vision conferences.