Systems Development Engineer - AI Infrastructure

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 focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. 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. Google brings together people with a wide variety of backgrounds, experiences and perspectives. They encourage collaboration, thinking big and taking risks in a blame-free environment. They promote self-direction to work on meaningful projects, while providing support and mentorship to learn and grow. The team engineers and builds the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. The team is building the future of computing by delivering an on-premises AI supercomputer, the next evolution of Google's AI accelerators hardware. This is a special project team creating a novel solution for customers with sophisticated security/locality requirements. The role involves building the next generation of AI hardware and the critical software that brings it to life. Google Cloud accelerates every organization’s ability to digitally transform its business and industry by delivering enterprise-grade solutions leveraging Google’s cutting-edge technology and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience with systems automation, systems design and implementation, and technical infrastructure (e.g., deployment, maintenance, troubleshooting).
• Experience in one or more of the following: Python, Java, Go.

Nice to have:

• Experience in site reliability engineering or IT production systems engineering.
• Experience contributing to product, engineering, or research teams in complex, cross-functional environments.
• Understanding of physical server, storage and network devices.
• Excellent communication skills, with the ability to explain technical topics.

• Contribute to the strategic goal for the hybrid and on-prem infrastructure business by assisting in defining and delivering architecture and road map initiatives.
• Support the team in maintaining and enhancing product, engineering, operational, and support excellence to ensure reliable operations.
• Develop services in Go/Python to automate the entire life-cycle of hardware test beds, from initial provisioning to ongoing fleet management.
• Build automation for OS installation and software deployment using custom installers like Subiquity.
• Solve engineering issues associated with managing both Google networked and fully air-gapped hardware environments.