Work in the United States as an Imaging System Architect for the Starline Project

In this position, you'll be tasked with bringing cutting-edge consumer imaging techniques to 3D imaging and rendering in order to open the door to new product categories, such as photorealistic telepresence.

As the primary owner of essential imaging systems, you'll have direct contact with specialists from across the world in hardware, software, machine learning, and computer vision.

Google's Project Starline combines hardware and software advancements to create a sense of community among people who may be separated by hundreds of miles (or even thousands of miles) physically or geographically. Envision yourself peering through a magical window that reveals a full-size, three-dimensional image of another person.

Working on Project Starline puts you in contact with scientists and engineers in a dynamic, fast-paced, and product-focused setting. 

Imaging System Architect for the Starline Project

There is a lot of communication between our groups and the Google Workspace and Research groups. With your help, Google's future communication products will be even more suited to your needs. 

You'll use tech to address the pressing issue of people wanting to spend time with one other but being physically separated.

Qualifications Barebones:

Must have a Master's degree or higher in electrical engineering, physics, computer science, or a related discipline, or demonstrate an equal level of professional experience.

Knowledge in implementing and designing for image signal processing pipelines.

The ability to use C or C++.

Favorable qualifications include:

Earned a doctoral degree in electrical engineering, physics, computer science, or a closely related subject.

Competence in leading teams and overseeing projects.

Familiarity with popular video encoding and decoding techniques as well as camera and imaging optics, color schemes like sRGB, gamma correction, and encoding.

Expertise in OpenCV, MATLAB, geometric camera calibration, or the computation photography approach is preferred.

Learn the fundamentals of image sensors such their pixel physics, micro lens arrays, phase pixels, dynamic range and noise, operating modes, electrical interfaces, and economics.

Capability to quickly identify and address difficulties that arise in the workplace.


Ease the process of creating image pipelines for cutting-edge photorealistic 3D telepresence systems.

Direct requirements gathering and coordinate efforts across product management, design, computer vision, research, and hardware engineering to settle on an architecture, algorithm, and hardware setup that will provide the best possible user experience.

Work with ISP and Software Engineers to build and test novel white-balance and exposure-control algorithms in a multi-camera system, and coordinate the development and performance evaluation of these algorithms.

Determine the limits of what can be achieved and fill any knowledge or skill gaps you find.

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