Tech Lead, AI Infrastructure & TPU Systems
Google LLC
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Descrizione del lavoro
Google LLC is hiring software engineers to help build an on-prem AI supercomputer and next-gen AI accelerator hardware. You will work on scalable systems, Kubernetes-based infrastructure, and advanced fleet management.
The role emphasizes cross-functional leadership, architectural ownership, and delivering robust health monitoring. Join a team delivering high-impact solutions for customers with stringent security and data locality requirements, while contributing to Google Cloud's
Competenze
- 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.
Mansioni
- 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 observability and monitoring across fleets.
- Foster a culture of engineering excellence by shared responsibility models and robust system-level guardrails.
- Coach and mentor engineers to grow their impact.
Conoscenze
Formazione
Strumenti
Descrizione del lavoro
Google LLC is hiring software engineers to help build an on-prem AI supercomputer and next-gen AI accelerator hardware. You will work on scalable systems, Kubernetes-based infrastructure, and advanced fleet management.
The role emphasizes cross-functional leadership, architectural ownership, and delivering robust health monitoring. Join a team delivering high-impact solutions for customers with stringent security and data locality requirements, while contributing to Google Cloud's
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