Staff Software Engineer, YouTube Shorts Creation Data, Metrics and Compute

Google•Mountain View, CA
•$207,000 - $300,000

About The Position

As the Staff Software Engineer Tech Lead for Shorts Creation Data, Metrics and Compute, you will lead end-to-end data analytics architecture, metric standardization, and compute/TPU estimation frameworks across the Shorts Creation organization. You will connect client and server telemetry with enterprise-grade data warehousing and analytical self-service, consolidate fragmented pipelines into a single source-of-truth data warehouse, and own software engineering frameworks and analytical models that connect creation funnel telemetry to TPU capacity estimates and compute optimization for YouTube’s Generative AI creation features. You will manage project priorities, deadlines, and deliverables, and design, develop, test, deploy, maintain, and enhance software solutions. The role works across engineering, product management, and data science, and includes technical leadership of a multi-year data roadmap. Google describes its engineering work as developing technologies and products at massive scale, with opportunities to work across areas such as distributed computing, large-scale system design, data storage, and artificial intelligence.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • Experience serving as a tech lead driving cross-organizational technical roadmaps across software engineering, product management, and data science teams.
  • Experience designing and operating production-grade data warehouses, distributed data pipelines, and telemetry schemas using SQL, Python, C++, or Go, and Protocol Buffers.

Nice To Haves

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • Experience modeling and optimizing compute or hardware capacity, such as TPU/GPU resource estimation and inference funnel efficiency, for large-scale Generative AI media applications.
  • Expertise in YouTube’s data and logging ecosystem, including Sessions3, VAPI, conformed_video, ZugZug, Procella/F1, Plx workflows, and RASTA experimentation infrastructure.
  • Track record of designing domain-specific developer tools or modular SQL frameworks (SQLM/TVFs) in Google3 that scale across multiple engineering and analytical teams.
  • Demonstrated success governing production code quality, wipeout/privacy compliance, and automated CI/CD (Annealing) across cross-functional engineering teams.

Responsibilities

  • Lead the design, implementation, and governance of consolidated production data warehouses and canonical data sources across Shorts Creation, MediaGen, Effects, YouTube, and Create.
  • Design and build scalable software tooling, telemetry pipelines, and analytical models to measure GenAI request funnels, latency and cancellation costs, and hardware utilization, informing organization-wide TPU capacity estimation and allocation decisions.
  • Define and standardize canonical business logic, modular SQL libraries, and Table-Valued Functions that power Google-level OKRs, executive dashboards, and unified RASTA experimentation metrics.
  • Collaborate with the Data and Metrics telemetry infrastructure lead and client/server feature teams to unify logging contracts across Sessions3, VAPI, and server-side DragonGlass logs.
  • Serve as a standing lead on the Design Review Committee, enforce production code health and testing standards across Software Engineers and Data Engineers, and drive the multi-year data roadmap.
  • Manage project priorities, deadlines, and deliverables; design, develop, test, deploy, maintain, and enhance software solutions.

Benefits

  • Equity
  • Benefits
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