Staff Software Engineer, Machine Modeling and Infrastructure Lead

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 JOB:

Google'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

[https://www.google.com/about/careers/applications/benefits/].

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.