Engineering Manager, Camera and Imaging, Project Starline
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages (Python, C, C++).
- 5 years of experience with image signal processing pipeline design/implementation/tuning.
- 3 years of experience in technical leadership overseeing projects, with 2 years of experience in people management/supervision/team leadership.
- Master's degree or PhD in Computer Science, Electrical Engineering, Physics, Vision Science, Color Science or related technical field.
- 3 years of experience working in a complex, matrixed organization.
- 5 years of experience in optimizing, tuning and assessing imaging performance, including perceptual and human factors.
About the job
Project Starline from Google combines advances in hardware and software to enable friends, families, and co-workers to feel together. As part of the Project Starline team, you'll work with researchers and engineers in product-oriented environment. You will collaborate closely with Google Workspace and will have an impact on the future of communications with Google products.
The US base salary range for this full-time position is $185,000-$283,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
- Manage and lead imaging pipeline development and performance (camera to display) for a photo-realistic 3D system.
- Drive specifications, leading collaborations with product management, design, computer vision, research, and hardware engineering to make architecture, algorithm and hardware decisions leading to an optimal user experience.
- Coordinate development and performance assessment of auto-exposure, auti-white-balance, auto-focus, tone mapping, and other algorithms in a multiple camera environment.
- Assess what is possible, and identify and close gaps in performance and understanding.
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