Knowledge of silicon design tools and methods (electronic design automation), including knowledge of RTL to Graphic Data System (GDS) workflows and FlexLM license servers.

Knowledge of Linux systems, networking, and security fundamentals.

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.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

• Architect, implement, and maintain computing infrastructure for use by internal teams.
• Create new, and improve existing, Linux computing, storage, and networking environments running on Google Cloud Platform.
  
• Improve operations work and reduce support toil by proposing and implementing automation and process improvements.
  
• Troubleshoot advanced technical issues within a large scale Linux computing environment.
  
• Participate in limited on-call rotation and monitoring of production distributed computing infrastructure.