Staff Software Engineer, Data Center Resource Modeling

Google; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google is seeking a Staff Software Engineer, Data Center Resource Modeling in Sunnyvale, CA. The role focuses on designing and building a next-generation data center resource modeling platform to manage hardware, plan capacity, and optimize lifecycle operations at scale.

Lead architectural direction, roadmap, and cross-functional collaboration with AI and infrastructure teams, while delivering scalable solutions and reducing total cost of operations for Google’s data centers.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in programming.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale 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 distributed computing, large-scale data processing.

Responsibilities

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Assess impact to team software stack from new hardware product programs and explore AI driven process improvement and automation.
• Establish technology and product goals in collaboration with other tech leads, managers, partners, clients, and executive leadership.
• Grow technical skills within the team.

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Engineering, Computer Science, or a related technical field

Job description

**Staff Software Engineer, Data Center Resource Modeling**

**Location:** Sunnyvale, CA, USA

**Experience Level:** Advanced

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**In most instances, this position requires in-person interviews as part of the hiring process.**

**Minimum qualifications:**

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in programming.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale 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 distributed computing, large-scale data processing.

**Preferred qualifications:**

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 8 years of experience programming in C++ or Java.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.
• Experience with data center architecture and technology.

**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.

We are seeking a highly talented and experienced lead engineer to join our growing team which focuses on designing and building our next generation data center resource modeling platform. This platform is essential for managing the Google-wide fleet deployment planning and execution, and modeling hardware across all machine racks and internal components. It enables us to plan future capacity, monitor the data center hardware, and manage the life-cycle of machines in the datacenter at scale while reducing the total cost of operations. In this role, you will guide the architectural goal, define the team's roadmap and priorities, and deliver continued innovation and scalability for new hardware platforms while reducing the total cost of operations.

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: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

**Responsibilities**

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Assess impact to team software stack from new hardware product programs and explore AI driven process improvement and automation.
• Establish technology and product goals in collaboration with other tech leads, managers, partners, clients, and executive leadership.
• Grow technical skills within the team.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.