Staff Software Engineer, Data Center Resource Modeling
GoogleSunnyvale, California
Full-time
Salary
$207k–$300k/ annually
Free account to apply · application completed on Google
Salary
$207k–$300k/ annually
Free account to apply · application completed on Google
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.
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