Software Engineer Uber Technical Lead, Infrastructure, FMOD
Share Software Engineer Uber Technical Lead, Infrastructure, FMOD
corporatefare_ Google place Sunnyvale, CA, USA; Kirkland, WA, USA
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Share Software Engineer Uber Technical Lead, Infrastructure, FMOD
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XIn most instances, this position requires in-person interviews as part of the hiring process.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA .
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++.
7 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 with design and architecture; and testing/launching software products.
Preferred qualifications:
Master's degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
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.
The Fleet Management, Obtainability and Data (FMOD) is an AI and Computing Infrastructure (ACI) supporting team. FMOD is responsible for the capacity experience of ACI customers from the demand management side as well as the final preparation of capacity for consumption. This team will also partner closely with ACI product management and engineering to understand the complex requirements of NPIs and the implications to the forecasting, supply planning and capacity management systems. Examples of NPIs are N4, C4, Z4, and even E4 and internal products used by 1P customers.
While other teams in Google Global Fleet (GGF) order capacity, this team assimilates these machines into bc-pools for scheduling of VMs by compute infrastructure. We select the pools and rebalance machines to meet efficiency and obtainability goals. This team assimilates all ACI capacity including ML and Standard Compute machines. We manage and determine the holdbacks for machine updates and maintenance of the fleet. This role is highly accountable for annual efficiency savings produced by holdback optimization, bc-pool fungibility and safety stock reduction as a result of shared capacity.
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
Lead advanced VM shape-based capacity planning and workload prediction to optimize regional and zonal resource distribution. Ensure infrastructure meets GCP customer demands while navigating the heterogeneity of VM products to reduce costs and avoid stock-outs.
Architect and implement fungibility solutions and capacity-sharing infrastructure across ACI and Central Fleet.
Drive capacity savings and operational efficiency by creating compute/storage overcommit technologies, minimizing system overheads and maintenance holdbacks, and influencing scheduling improvements to reduce stranded resources.
Enable NPIs and AI accelerator initiatives (GPUs/TPUs) through deterministic capacity observability, predictable capacity landing, and the development of Unified Capacity Interfaces between GGF and ACI consumption systems.
Guide executive decision-makers on cloud infrastructure investments by partnering closely with GCE, Cloud Capacity Planning, and product engineering. Lead horizontal efforts spanning multiple organizations to ensure rapid, cost-effective capacity scaling and operational delivery.
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.
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Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
