Fleet Optimization & AI Systems Tech Lead

Google LLC; Sunnyvale (CA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Equity

Performance bonus

Job summary

Google Sunnyvale, CA, USA is seeking a Resource Optimization and Fleet Logic Technical Lead to architect and drive optimization strategies for Google’s fleet and capacity planning. You will own the technical roadmap and lead cross-functional teams through complex enterprise-scale initiatives.

The role requires strong C++ engineering, design leadership, and experience integrating AI tools into workflows. On-site interviews are typical for this position.

Qualifications

• Bachelor's degree or equivalent practical experience is required.
• 8 years of experience programming in C++.
• 5 years of experience with design and architecture; and testing/launching software products.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Set the technical goals and strategy for delivering required capabilities and lead a multi-year technical roadmap.
• Shape the technical strategy for optimal placement and reconfiguration of data center resources (machines, racks, space, power, network, cooling).
• Drive the roadmap and partner with Product Management on new features.
• Engage with partner teams to align on product requirements, solution architecture, and emerging issues.
• Balance development velocity with generalization of software solutions; promote engineering excellence and customer focus.

Skills

C++

Design & Architecture

Software Testing

Generative AI Integration

Education

Bachelor's degree

Master’s degree or PhD (preferred)

Job description

Google Sunnyvale, CA, USA is seeking a Resource Optimization and Fleet Logic Technical Lead to architect and drive optimization strategies for Google’s fleet and capacity planning. You will own the technical roadmap and lead cross-functional teams through complex enterprise-scale initiatives.

The role requires strong C++ engineering, design leadership, and experience integrating AI tools into workflows. On-site interviews are typical for this position.