Software Engineer Uber Technical Lead, Infrastructure, FMOD

Google LLC; Sunnyvale, Kirkland (CA, WA); On-site; USD 240,000 - 320,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

PTO: 20 days/year

Sick time: 40 hours/year (69 in some 看

Maternity leave: 28-30 weeks

Baby bonding leave: 18 weeks

13 paid holidays

Job summary

Google seeks a Software Engineer Uber Technical Lead for FMOD to drive large-scale infrastructure projects with a focus on capacity planning, fungibility, and AI accelerator initiatives. The role demands deep C++ expertise, leadership, and experience navigating matrixed organizations.

As part of the FMOD team, you will partner with global infrastructure, product management, and engineering to optimize capacity, reduce costs, and deliver scalable systems for NPIs and AI workloads at hyperscale.

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 related areas.
• 5 years of experience with design and architecture; and testing/launching software products.
• 3 years of experience working in a complex, matrixed organization.

Responsibilities

• Lead advanced VM shape-based capacity planning and workload prediction to optimize regional and zonal resource distribution.
• Architect and implement fungibility solutions and capacity-sharing infrastructure across teams.
• Drive capacity savings and operational efficiency by creating compute/storage overcommit technologies and improving scheduling.
• Enable NPIs and AI accelerator initiatives (GPUs/TPUs) through deterministic capacity observability and interfaces.
• Guide executive decision-makers on cloud infrastructure investments and cross-organization collaboration.

Skills

C++ programming

Large-scale infrastructure

Design and architecture

Leadership

Cross-functional collaboration

Algorithms

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering / CS

Job description

Software Engineer Uber Technical Lead, Infrastructure, FMOD

Share Software Engineer Uber Technical Lead, Infrastructure, FMOD

info_outline X In 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.

• 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.

• 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.

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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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.

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.