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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in testing, and launching software products.
- 5 years of experience building and developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 3 years of experience with software design and architecture.
- Experience with coding in C .
Preferred qualifications: - Master's degree or PhD in Engineering, Computer Science, a technical related field, or equivalent practical experience.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role with leading project teams and setting technical direction.
- 3 years of experience working in a complex organization involving cross-functional, or cross-business projects.
- Experience in data modeling.
About the jobGoogle'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 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: $207000 - $300000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Lead the design, architecture, and development of scalable and robust infrastructure for modeling Google's next-generation server platforms.
- Work with other Team Leads (TLs) (L5-8), Product Managers (PMs), Cross-Functional (XFN) teams, and executives to identify missing modeling, security, rollout, and reliability related capabilities.
- Address ambiguous and complex technical challenges in representing and utilizing hardware models, from early NPI concept through to production.
- Drive the long-term technical vision and strategy for the UHM-M ecosystem, ensuring components are well-designed, maintainable, and meet evolving needs.
- Design and implement mechanisms to ensure the integrity, trustworthiness, and security of the model data life cycle, contributing to efforts like model notarization and verification as outlined in plans like go/uhm-m-tca-plan.
