Senior SRE: AI Infra Architect for Workspace AI

Google LLC; Sunnyvale (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google Sunnyvale, CA, USA is seeking a Senior Staff Software Engineer in Site Reliability Engineering for Workspace AI. You will own the architecture and design of the AI inference and training infrastructure, ensuring reliability, scalability, and cost efficiency while collaborating with senior technical leads.

This role requires in-person interviews in most cases and emphasizes leading incidents, driving blameless postmortems, and partnering with other product teams to deliver robust

Qualifications

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages.
• 4 years of experience leading projects, and providing technical leadership.
• 3 years of experience in designing, analyzing, and troubleshooting distributed systems.
• Experience with machine learning/AI in a software development environment.

Responsibilities

• Own the architecture and design of the inference and training AI infrastructure from SRE side, ensuring it is reliable, scalable, cost effective and performant, while working closely with senior technical leads in the development teams.
• Drive AI-first development to help the team leapfrog in its current efforts, serving as the AI advocate who introduce new and novel ways of working.
• Lead the on-call response to production incidents, driving blameless postmortems and ensuring preventative measures are implemented.
• Engage broadly with SRE leaders across other product teams to ensure the best scalable solutions for all of Google, acting as the conduit to bring solutions in and take them across Google.

Skills

Software development

Technical leadership

Distributed systems

Machine learning/AI

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or Engineering

Job description

Google Sunnyvale, CA, USA is seeking a Senior Staff Software Engineer in Site Reliability Engineering for Workspace AI. You will own the architecture and design of the AI inference and training infrastructure, ensuring reliability, scalability, and cost efficiency while collaborating with senior technical leads.

This role requires in-person interviews in most cases and emphasizes leading incidents, driving blameless postmortems, and partnering with other product teams to deliver robust