Systems and Solutions Architect, High Performance Computing
Company: Google
Location: Kirkland
Posted on: May 24, 2023
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Job Description:
Note: Google's hybrid workplace includes remote and in-office
roles. By applying to this position you will have an opportunity to
share your preferred working location from the following:
In-office locations: Kirkland, WA, USA.
Remote location(s): United States.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development, and with data
structures/algorithms.
5 years of experience with design and architecture, and
testing/launching software products.
Preferred qualifications:
Master's degree or PhD in Engineering, Computer Science, or a
related technical field.
10 years of experience in High Performance Computing.
5 years of experience in a technical leadership role leading
project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization
involving cross-functional, and/or cross-business projects.
Experience with HPC ecosystem software, such as schedulers,
orchestration systems, and HPC package management systems.
Domain knowledge in a key HPC application area, such as CAE, EDA,
FSI, Healthcare, Energy, or scientific computing.
About the job
Google Cloud's software engineers develop the next-generation
technologies that change how billions of users connect, explore,
and interact with information and one another. 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 Cloud's
needs with opportunities to switch teams and projects as you and
our fast-paced business grow and evolve. You will anticipate our
customer needs and be empowered to act like an owner, take action
and innovate. 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.
Google Cloud accelerates organizations' ability to digitally
transform their business with the best infrastructure, platform,
industry solutions and expertise. We deliver enterprise-grade
solutions that leverage Google's cutting-edge technology - all on
the cleanest cloud in the industry. Customers in more than 200
countries and territories turn to Google Cloud as their trusted
partner to enable growth and solve their most critical business
problems.
The US base salary range for this full-time position is
$231,000-$339,000 + bonus + equity + benefits. Our salary ranges
are determined by role, level, and location. The range displayed on
each job posting reflects the minimum and maximum target for new
hire salaries for the position across all US locations. Within the
range, individual pay is determined by work location and additional
factors, including job-related skills, experience, and relevant
education or training. Your recruiter can share more about the
specific salary range for your preferred location during the hiring
process. Please note that the compensation details listed in US
role postings reflect the base salary only, and do not include
bonus, equity, or benefits. Learn more about benefits at
Google.
Responsibilities
Engage customers to understand and drive product requirements, and
provide solutions to accelerate their success.
Establish HPC performance expectations for new platforms and
oversee performance lifecycle through new platform deployment.
Identify key middleware, runtime systems, and frameworks used in
HPC workloads (e.g., simulation, modeling, ML, analytics) and
develop and execute strategies for HPC readiness on Google
Cloud.
Enable software improvements through external engineering
engagements and community software contributions to key middleware
and system software projects.
Partner with Engineering and Product Management teams to develop
and execute technology strategies to enable the adoption of AI/ML
in HPC workflows.
Google is proud to be an equal opportunity workplace and is an
affirmative action employer. We are committed to equal employment
opportunity regardless of race, color, ancestry, religion, sex,
national origin, sexual orientation, age, citizenship, marital
status, disability, gender identity or Veteran status. We also
consider qualified applicants regardless of criminal histories,
consistent with legal requirements. See also Google's EEO Policy
and EEO is the Law. If you have a disability or special need that
requires accommodation, please let us know by completing our
Accommodations for Applicants form.
Keywords: Google, Kirkland , Systems and Solutions Architect, High Performance Computing, Other , Kirkland, Washington
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