Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Beam is a true-to-life new communication technology from Google that allows people to feel like they’re having real face-to-face conversations, no matter the distance. Powered by realistic state-of-the-art 3D imaging and spatial audio and integrated with today’s leading remote video platforms, Google Beam enables you to be immersed in the moment, together. As a part of the Google Beam team, you'll work with incredible teammates across all major functions in a fast-paced product-oriented environment. Your contributions will have an impact on the future of communications with Google products. You will apply technology to solve that really important problem that we often want to be together and we can’t.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google . • 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. • 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. 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.

Requirements

Must-haves

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Learn more about benefits at Google .
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.
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.
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.
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.

Nice-to-haves

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
PhD degree in Computer Vision, Robotics, 3D Graphics, or a related technical field.
Experience with hybrid geometric-learning approaches (e.g., NeRFs, 3D Gaussian Splatting) and a publication record in computer vision conferences.

Application prep

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Keywords to mirror

machine learning

Platform: google
Effort: medium

Benefits

Benefits detected in the listing.

Vision