Customer Engineer III, AI Infrastructure, Google Public Sector - Google

Atlanta, GA

About the Job

The application window will be open until at least January 30, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.

This role may also be located in our Playa Vista, CA campus.

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: Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Houston, TX, USA; Irvine, CA, USA; Kansas City, MO, USA; Kirkland, WA, USA; Miami, FL, USA; New York, NY, USA; Portland, OR, USA; Los Angeles, CA, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Salt Lake City, UT, USA; Washington D.C., DC, USA.Remote location(s): United States.

Minimum qualifications:

Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
3 years of experience with HPC systems hardware architecture, network interconnect technologies and topologies, popular HPC storage file systems and AI infrastructure (GPUs and TPUs).
Experience in performing technical presentations or public speaking.

Preferred qualifications:

Master's degree in Computer Science or a related technical field.
Experience serving as a technical sales engineer in a high-performance computing environment or in a customer-facing role.
Experience designing and implementing performant HPC systems, including job schedulers, message passing interface, high-speed interconnects and parallel file systems.
Domain Expertise in one of the following: CAE, EDA, Financial Services, Healthcare, Energy, Scientific Computing or machine learning.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As an AI Infrastructure Customer Engineering Specialist in Google Public Sector, you will support Google Public Sector sales teams to incubate, pilot, and deploy Google Cloud’s industry leading compute and accelerator technologies (including TPU/GPU) at startups and large enterprises. You will help customers innovate faster with state of the art solutions using Google Cloud’s flexible and open infrastructure.

In this role, you will identify and assess HPC opportunities that would benefit from our infrastructure. You will help customers leverage our compute and accelerators within their overall cloud strategy by helping them run pilots on our infrastructure, including finding opportunities to use accelerators when it makes sense for their computations or models, developing migration paths, and helping to analyze cost to performance. Along the way, you would work closely with our internal stakeholder teams to remove roadblocks and shape the future of our offerings.

Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

The US base salary range for this full-time position is $142,000-$214,000 + 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 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

Identify and qualify business opportunities and key customer technical issues, developing a strategy to resolve technical issues.
Recommend and document migration paths, integration strategies, and application architecture needed to implement a complete solution using Google Cloud best practices.
Assist Infrastructure Solutions Management teams, contributing to solution and use case assets.
Lead workshops for strategic customers to assess existing application/infrastructure environments and organizational readiness. Identify potential use cases for cloud computing and paths to digital transformation.
Develop architectural blueprints to enable infrastructure, including AI Infrastructure, High Performance Computing (HPC), and migration opportunities, coordinating with Product and Specialist teams.

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.

Source : Google