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

Google LLC
Mountain View, CA, United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$207,000 - $300,000
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Business Logic Bioinformatics C++ (Programming Language) Client Server Models Continuous Integration Data Warehousing Programming Tools Distributed Data Store Distributed Systems Protocol Buffers Design of User Interfaces
+17 more
Push Technology Information Retrieval Python (Programming Language) Natural Language Processing Operational Databases Software Engineering Software Systems SQL Databases Systems Architecture Data Logging Data Storage Technologies Generative AI Build Management Information Technology Production Code Data Analytics Search Engines

Job description

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., * 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Requirements

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Share Staff Software Engineer, YouTube Shorts Creation Data, Metrics and Compute, * 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., * 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.

Benefits & conditions

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

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