The Engineering Manager for GPU Reliability at Google will lead a team responsible for the reliability of the world's largest GPU supercomputer systems. This role involves managing engineers across multiple teams and locations while overseeing large-scale projects that drive Google's AI advancements. The manager will focus on optimizing GPU systems operations and ensuring high availability and performance. This position offers a unique opportunity to work at the forefront of AI infrastructure and contribute to transformative technologies.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, Kotlin, or Go.
• 5 years of experience with software architecture and embedded systems.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience with GPU programming, systems reliability, and computer architecture.

• Architect the GPU Reliability Systems Operations and Tooling SW organization.
• Drive the GPU support strategy by developing a roadmap for fleet health reliability.
• Establish and enforce Service Level Objectives and Service Level Indicators for GPU Pod availability.
• Sponsor automation and toil reduction efforts by developing advanced telemetry and debugging tooling.
• Manage high-severity escalations for critical hardware and software issues.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.