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Field Solution Architect III, AI Infrastructure, Google Cloud

GoogleSunnyvale, CA, USA; Atlanta, GA, USA; +14 more; +13 more
The application window will be open until at least September 18, 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.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Houston, TX, USA; Kirkland, WA, USA; Los Angeles, CA, USA; New York, NY, USA; San Diego, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.

Minimum qualifications:

  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
  • 8 years of experience with cloud infrastructure (hardware shapes, sizes, auto-scaling, auto-provisioning, etc.), working with infrastructure as a service, platform as a service, or software as a service.
  • Experience coding in Python, bash scripting, and using OSS frameworks such as TensorFlow, PyTorch, Jax, etc.
  • Experience building and operationalizing machine learning models.

Preferred qualifications:

  • Experience with containerization, K8s, Kubernetes on cloud.
  • Experience with running MLPerf benchmarks.
  • Experience with performance profiling tools (i.e., Tensorflow profiler, PyTorch profiler, Tensorboard).
  • Experience designing, architecting AI compute clusters.
  • Ability to debug distributed training/inferencing code running.
  • Experience training and fine tuning models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.

About the job

In this role, you will support Google Cloud sales teams to incubate, pilot, and deploy industry leading AI/ML accelerators (TPU/GPU) for enterprise customers. You will identify and assess AI opportunities, run benchmarks, develop migration paths, and analyze cost-to-cost performance to help clients leverage optimized infrastructure within their cloud strategy. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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 $177,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

  • Become trusted advisors to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by designing training and inferencing platforms, using the latest and greatest accelerators Google Cloud has to offer.
  • Demonstrate Google Cloud's differentiation by leading POCs, showcasing features, and optimizing model performance through profiling and benchmarking.
  • Develop repeatable assets to enable customers and internal teams.
  • Influence Google Cloud strategy by advocating for enterprise customer requirements at the intersection of infrastructure and AI/ML.
  • Travel to customer sites and events as required.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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 an 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, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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