Staff Software Engineer, Data Center Resource Modeling

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
• Learn more about benefits at Google
• [https://www.google.com/about/careers/applications/benefits/].
• 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.