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.
Develop and execute end-to-end program strategies for complex ML infrastructure, covering scope, resource planning, risk management, and roadmap delivery.
Partner with cross-functional engineering, product, and research teams to define technical milestones and prioritize key platform capabilities.
Drive execution across workstreams, proactively identifying dependencies, mitigating risks, and maintaining alignment on schedules and critical path items.
Provide clear, concise updates and strategic recommendations to leadership and executive stakeholders to align on technical priorities and decisions.
Ensure production readiness and quality standards for hardware/software deployments, supporting large-scale developer adoption and workload efficiency.
Minimum qualifications
Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience in program management.
Experience with artificial intelligence/machine learning projects, tools, or infrastructure.
Preferred qualifications
8 years of experience managing cross-functional or cross-team projects.
Experience with Jax and PyTorch frameworks, OSS models like Qwen and GLM, and inference stacks like vLLM and SGLang.
Experience running production facing large scale software programs.
Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience in program management.
Experience with artificial intelligence/machine learning projects, tools, or infrastructure.
