Google's Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
As a Staff Software Engineer in Research Computational Imaging, you will:
- Provide technical leadership on projects
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines
- Manage project priorities, deadlines, and deliverables
- Design, develop, test, deploy, maintain, and enhance large scale software solutions
- Direct research and development experience in machine learning for computer vision, computational photography, graphics, image or video processing, and generative AI
The ideal candidate will have:
- Bachelor's degree or equivalent practical experience
- 8 years of experience in software development, and with data structures/algorithms
- 5 years of experience testing, and launching software products
- 3 years of experience with software design and architecture
- Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models)
- Experience with TensorFlow
- Experience with Python Development
Preferred qualifications include:
- Master's degree or PhD in Engineering, Computer Science, or a related technical field
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects
- 3 years of experience in a technical leadership role leading project teams and setting technical direction
- Experience with Graphics and Imaging
- Experience with Machine Learning Research
- Experience with Computational Imaging
This role offers a competitive salary range of $189,000-$284,000 + bonus + equity + benefits, determined by factors such as location, experience, and job-related skills.