Tech Lead, TPU AI Infrastructure

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 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 Learn more about benefits at Google. 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 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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.