Systems Development Engineer, AI Infrastructure

Requirements:

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience with systems automation, and with 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 haves:

• 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.

What you'll be doing:

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

Perks and Benefits:

• Work on a groundbreaking, on-premises AI supercomputer project.
• Opportunity to create a novel solution for customers with sophisticated security/locality requirements.
• Collaborative and risk-taking environment at Google.
• Equal opportunity and affirmative action employer.