You will lead software development initiatives supporting custom Google-designed hardware. Your scope spans the entire hardware lifecycle: capacity planning, rapid deployment, health telemetry, distributed diagnostic tooling, and automated remediation systems for massive AI workloads.
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 force 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: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Drive roadmap planning, milestone definition, resource allocation, and risk management across multi-quarter, multi-team engineering programs with minimal supervision.
Build clear reporting rhythms, tracking key deliverables, critical path dependencies, and capacity risks to provide VP/Director-level visibility.
Translate technical constraints, trade-offs, and architectural dependencies into clear business narratives and actionable decisions for stakeholders.
Identify systemic development bottlenecks, drive adoption of scalable delivery frameworks, and prioritize technical features that improve platform reliability, security, and velocity.
Drive quality, and efficiency, based on prioritized needs. Be a catalyst for program support and delivery.
Minimum qualifications
Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience in program management.
Experience with launching NPI products in the ML, Compute, Networking, and Infrastructure areas.
Experience in product management, software engineering, hardware engineering, and computer hardware.
Preferred qualifications
8 years of experience managing cross-functional or cross-team projects.
Ability to identify organizational needs, establish priorities, work independently, drive results through informal authority, serve as a trusted consultant to key business partners, and represent users and customers in every thought and interaction.
Adept at leading teams of highly talented, independent individuals with a track record of quickly earning credibility based on your knowledge and accomplishments.
Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience in program management.
Experience with launching NPI products in the ML, Compute, Networking, and Infrastructure areas.
Experience in product management, software engineering, hardware engineering, and computer hardware.
