Tech Lead, TPU AI Infrastructure
Sunnyvale, CA, USA +1 · Full-time · Posted Oct 13, 2026
- Location
- Sunnyvale, CA, USA
Kirkland, WA, USA - Experience
- 8 years software development; 5 years building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture; 5 years testing and launching software products; 3 years software design and architecture.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Leads architecture and technical direction for inventory and fleet-management infrastructure supporting Google’s on-premises AI supercomputer, with a focus on automation, machine health, and observability.
What you'll do
- Define the roadmap and architecture for inventory and fleet management, including orchestration, node re-bootstrapping, and self-service remediation.
- Own platform design decisions, coordinate cross-functional work, and establish machine-health SLOs and fleet-wide observability.
- Set engineering standards and access guardrails, and coach and mentor engineers.
What they ask for
- Bachelor's degree or equivalent practical experience.
- 8 years of software development experience in one or more programming languages.
- 5 years building large-scale infrastructure, distributed systems, networks, compute technologies, storage, or hardware architecture.
- 5 years testing and launching software products; 3 years of software design and architecture experience.
Nice to have
- 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).
Pay
$207000 - $300000 (USD) base salary
Tools
Temporal, Kubernetes, ArgoCD, Python, C, C++, Java, JavaScript
AI focus
Builds infrastructure for an on-premises AI supercomputer and AI accelerator hardware.
Model-written summary · the original posting is authoritative