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

Google

Mountain View, California, United StatesFull-time$207,000–$300,000Posted Oct 29, 2026

About the role

MINIMUM QUALIFICATIONS:

  • 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.

PREFERRED QUALIFICATIONS:

  • Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

  • Experience modeling and optimizing compute/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 (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.

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.

With your technical expertise you will manage project priorities, deadlines, and

deliverables. You will design, develop, test, deploy, maintain, and enhance

software solutions.

As the Staff Software Engineer Tech Lead for Shorts Creation Data, Metrics and

Compute, you will be the overarching technical lead responsible for the

end-to-end data analytics architecture, metric standardization, and compute/TPU

estimation frameworks across the entire Shorts Creation organization.

You will bridge client and server telemetry with enterprise-grade data

warehousing and analytical self-service. You will lead the consolidation of

fragmented pipelines into a single source of truth data warehouse. Crucially,

you will own the software engineering frameworks and analytical models that

connect creation funnel telemetry to TPU capacity estimations and compute

optimization for YouTube’s Generative AI creation features.

At YouTube, we believe that everyone deserves to have a voice, and that the

world is a better place when we listen, share, and build community through our

stories. We work together to give everyone the power to share their story,

explore what they love, and connect with one another in the process. Working at

the intersection of cutting-edge technology and boundless creativity, we move at

the speed of culture with a shared goal to show people the world. We explore new

ideas, solve real problems, and have fun — and we do it all together.

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

[https://www.google.com/about/careers/applications/benefits/].

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/cancellation

costs, and hardware utilization—directly 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 Objectives and Key Results

(OKRs), executive dashboards, and unified RASTA experimentation metrics.

  • Collaborate closely 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 Design Review Committee, enforce production code

health and testing standards across Software Engineers and Data Engineers,

and drive the multi-year data roadmap.

Responsibilities

  • Lead consolidated production data warehouses and canonical data sources across Shorts Creation and related teams.
  • Build scalable telemetry pipelines, software tools, and analytical models for GenAI request funnels, hardware utilization, and TPU capacity planning.
  • Standardize business logic, modular SQL libraries, and metrics for OKRs, dashboards, and experimentation.
  • Unify client- and server-side logging contracts with telemetry infrastructure and feature teams.
  • Lead design reviews, enforce code quality and testing standards, and drive the multi-year data roadmap.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • At least 8 years of software development experience.
  • Experience leading cross-organizational technical roadmaps with engineering, product, and data science teams.
  • Experience designing and operating production data warehouses, distributed data pipelines, and telemetry schemas using SQL, Python, C++, or Go and Protocol Buffers.
  • Preferred: Master's degree or PhD in a related technical field.
  • Preferred: Experience with compute and hardware capacity optimization for large-scale generative AI media applications.
  • Preferred: Expertise in YouTube data and logging systems, including Sessions3, VAPI, conformed_video, ZugZug, Procella/F1, Plx workflows, or RASTA.
  • Preferred: Experience creating developer tools or modular SQL frameworks and governing code quality, privacy compliance, and CI/CD.

Benefits

  • 20% target bonus
  • Equity
  • Benefits

Skills mentioned

SQLPythonC++Data EngineeringData PipelinesData WarehousingDistributed SystemsSystem DesignGenerative AICI/CD

About Google

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

Software Development10,001+ employeesMountain View, CA

H-1B sponsorship history

Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.