Senior Staff Software Engineer, Geometric Computer Vision, Google Beam
Seattle, WA, USA +2 · Senior Staff · Full-time · Posted Oct 22, 2026
- Location
- Seattle, WA, USA
San Francisco, CA, USA
Mountain View, CA, USA - Experience
- 8 years software development; 7 years technical strategy and architecture; 5 years Geometric Computer Vision, video generation, or signal processing; 5 years software design/architecture and product testing or launch. Preferred: 8 years data structures and algorithms; 5 years technical leadership; 3 years in a complex, matrixed organization.
- Education
- Bachelor's degree in Computer Science, Computer Vision, Robotics, or equivalent practical experience.
About the job
Develops real-time 3D perception, camera calibration, and spatial optimization software for Google Beam, a realistic communication technology.
What you'll do
- Build high-performance, production-grade C++ software for real-time 3D perception and calibration; architect multi-camera calibration and spatial optimization pipelines.
- Review code and designs, and collaborate with hardware, systems, and machine learning teams on camera arrays and reconstruction interfaces.
- Manage project priorities, deadlines, and deliverables; design, develop, test, deploy, maintain, and enhance software.
What they ask for
- Bachelor's degree in Computer Science, Computer Vision, Robotics, or equivalent practical experience.
- 8 years of software development using modern C++, multithreading, and systems optimization.
- 7 years leading technical project strategy and architecture for 3D tracking, camera calibration, or multi-view geometry.
- 5 years in Geometric Computer Vision, video generation, or signal processing; and 5 years in software design and architecture, testing or launching products.
Nice to have
- PhD in Computer Vision, Robotics, 3D Graphics, or a related technical field; 8 years of data structures and algorithms experience.
- Technical leadership deploying computer vision algorithms on custom hardware or cameras; cross-functional research and engineering experience; hybrid geometric-learning approaches and computer vision publications.
Pay
USD 262000 - 364000 base salary
Tools
C++, multithreading, 3D tracking, camera calibration, multi-view geometry, NeRFs, 3D Gaussian Splatting
AI focus
Defines interfaces between learned and geometric reconstruction modules in collaboration with machine learning research and hardware teams; preferred experience includes hybrid geometric-learning approaches such as NeRFs and 3D Gaussian Splatting.
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