System Administrator, Augmented Reality Data Capture Infrastructure

Minimum qualifications:

• Experience building systems, infrastructure, and computer hardware
• Experience with the automation of software using Shell scripting
• Experience in networking, network configuration, and administration
• Experience with the administration of computer systems based on Ubuntu

Preferred qualifications:

• Experience building and maintaining non-standard hardware and software infrastructure and deploying custom software
• Experience with scripting, network administration, personal computer hardware maintenance, and deployment
• Experience with machine vision cameras, field programmable gate arrays, and programming in Python and C
• Experience working with and communicating needs to hardware test engineers, hardware engineers, software engineers, and researchers to improve and maintain stability of non-standard large-scale capture systems
• Experience with remote procedure calls, camera frameworks, Python, C , camera frameworks, field programmable gate array, Ubuntu, etc.

About the job

Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don't just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it's hard to control what you can't measure - so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.

Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.

In this role, you will work with our hardware testing engineers, hardware engineers, software engineers, and researchers to improve and maintain stability of our non-standard large scale capture systems. You will work on both software (e.g., automation of software deployment, PC configuration, network configuration, and testing software tools) and hardware (e.g., networking design, and PC hardware setup).

Google's mission is to organize the world's information and make it universally accessible and useful. Our 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.

Responsibilities

• Compile, deploy, and test internal and third-party software on non-standard large-scale capture systems.
• Automate software deployment on distributed capture systems and monitor status and health of distributed capture systems.
• Network, design, and configure for personal computer communication and computer to camera communication.
• Troubleshoot custom hardware solutions and build and maintain capture personal computers. Deploy and maintain small server farms for rendering.
• Test and deploy multi-camera control software and application programming interfaces, low-level control software for specialized hardware such as lighting, cameras, and depth sensors, and tools across multiple platforms in multiple programming languages.