The Software Engineer Uber Technical Lead, Infrastructure, FMOD role at Google focuses on optimizing capacity planning and workload prediction for cloud infrastructure. The team is responsible for managing AI and computing infrastructure to ensure efficient resource distribution and operational efficiency. This position requires a strong technical background and leadership skills to guide decision-making and influence stakeholders. The role involves collaboration with various teams to support Google's groundbreaking innovations in AI and infrastructure.

• 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.
• 5 years of experience with design and architecture; and testing/launching software products.

• 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 ACI and Central Fleet.
• Drive capacity savings and operational efficiency by creating compute/storage overcommit technologies.
• Enable NPIs and AI accelerator initiatives through deterministic capacity observability and predictable capacity landing.
• Guide executive decision-makers on cloud infrastructure investments by partnering closely with GCE, Cloud Capacity Planning, and product engineering.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.