Tech Lead, AI Infra & TPU Systems

Google Inc.; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google is building the future of at-scale computing with an on-premises AI supercomputer. You will own core platform architecture, coordinate with leadership, and drive reliability across fleet health and observability in a security-conscious environment.

As a Share Tech Lead, TPU AI Infrastructure, you will mentor engineers, shape cross-functional strategies, and ensure robust delivery of critical AI hardware and software systems at Google.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.

Responsibilities

• Define the technical roadmap and architecture for inventory and fleet management, focusing on Temporal orchestration, automated node re-bootstrapping, and self-service remediation.
• Own architectural and design decisions for the platform, collaborating with leadership and cross-functional teams to prioritize efforts, resolve roadblocks, and manage technical debt.
• Establish and maintain machine health SLOs, driving continuous improvements in fleet-wide observability and environmental monitoring.
• Foster a culture of engineering excellence by establishing shared responsibility models with tenant teams and enforcing robust system-level access guardrails.
• Coach and mentor engineers on the team, guiding their technical development and helping them grow their impact.

Skills

Large-scale infrastructure

Distributed systems

Compute technologies

Storage

Hardware architecture

Software design & architecture

Temporal workflows

Kubernetes

ArgoCD

Container orchestration

Education

Bachelor's degree or equivalent

Tools

Kubernetes

ArgoCD

Container orchestration

Job description

Google is building the future of at-scale computing with an on-premises AI supercomputer. You will own core platform architecture, coordinate with leadership, and drive reliability across fleet health and observability in a security-conscious environment.

As a Share Tech Lead, TPU AI Infrastructure, you will mentor engineers, shape cross-functional strategies, and ensure robust delivery of critical AI hardware and software systems at Google.