Software Engineer Uber Technical Lead, Infrastructure, FMOD
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Sep 21, 2026. Google scores B on the Alion truth index.
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 about benefits at Google.
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.
Qualifications
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.