Tech Lead, TPU AI Infrastructure

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

corporate_fare Google place Sunnyvale, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

Share Tech Lead, TPU AI Infrastructure

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• 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.

Preferred qualifications:

• Experience with Temporal orchestration workflows or similar workflow engines.
• Expertise in Kubernetes, ArgoCD, and container orchestration.
• Familiarity with hardware/software integration, hardware lifecycle, or bare-metal provisioning (PXE).
• Excellent communication skills with the ability to manage stakeholder relationships and drive cross-functional alignment.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast‑paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Our team is building the future of at-scale computing by delivering a groundbreaking, on-premises AI supercomputer—the next evolution of Google's AI accelerator hardware. This is a rare opportunity to join a specialized team creating novel solutions for customers with sophisticated security and data locality requirements. You will be at the heart of building the next generation of AI hardware and the critical software that brings it to life, making a Google-scale impact on the future of AI.
We manage complex infrastructure, integrating with Kubernetes, Temporal, and custom orchestration tools to ensure our compute nodes meet rigorous health standards. We are evolving our infrastructure toward automated node repair, self-healing frameworks, and advanced fleet-wide observability to reduce manual operational overhead and build robust platform boundaries.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

• 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 Service Level Objectives (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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.