Customer Engineer I, AI Infrastructure, Google Cloud

Google; Boulder (CO); On-site; USD 104,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) match

Paid time off

Sick time

Holidays

Baby bonding leave

Maternity leave

Job summary

Google Cloud is seeking a Customer Engineer I focused on AI Infrastructure to help customers adopt AI accelerators and optimize their cloud strategies. You will partner with technical sales to pilot solutions, run model benchmarks, and develop migration paths that demonstrate value and performance benefits.

You will gather requirements, build proofs-of-concept, and collaborate with product teams to drive enhancements.

Qualifications

• Bachelor’s degree or equivalent practical experience in a technical field.
• 4 years of experience with cloud infrastructure.
• Experience building and operationalizing machine learning models.
• Experience delivering technical presentations and leading sessions.

Responsibilities

• Be a trusted advisor to customers, helping them adopt AI accelerators in cloud strategies.
• Demonstrate Google Cloud AI accelerators, profile performance, benchmark models.
• Build repeatable assets for customers and internal teams.
• Influence Google Cloud strategy by advocating for enterprise requirements.
• Travel to customer sites and events as needed.

Skills

Cloud infrastructure

Machine learning models

Public speaking

Education

Bachelor’s degree in Computer Science, Mathematics, related field, or equivalent practical experience

Tools

TensorFlow profiler

PyTorch profiler

TensorBoard

Kubernetes

Google Cloud

Containerization

Job description

Customer Engineer I, AI Infrastructure, Google Cloud

corporate_fare Google place Sunnyvale, CA, USA; Atlanta, GA, USA; +11 more; +10 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

XThe application window will be open until at least October 21, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

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.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance

• Retirement Benefits: 401(k) with company match

• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance

• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

• Baby Bonding Leave: 18 weeks

• Holidays: 13 paid days per year

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; Kirkland, WA, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA .

Minimum qualifications:

• Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.

• 4 years of experience with cloud infrastructure.

• Experience building and operationalizing machine learning models.

• Experience in delivering technical presentations, leading discovery and planning sessions.

Preferred qualifications:

• Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.

• Experience with performance profiling tools (i.e., TensorFlow profiler, PyTorch profiler, Tensorboard).

• Experience designing/architecting large-scale infrastructure farms for specialist AI use cases.

• Experience with containerization, Kubernetes, Kubernetes on Google Cloud.

• Experience with machine learning benchmarks.

• Ability to engage with C-level or executive business leaders and influence decisions.

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 a Practice Customer Engineer (CE) specializing in AI Infrastructure, you will partner with technical Sales teams to incubate, pilot, and deploy Google Cloud’s industry-leading AI/ML accelerators (TPU/GPU) for AI startups and large enterprises. You will help customers innovate faster using Google Cloud’s flexible, open infrastructure.

In this role, you will identify large-scale AI opportunities and integrate accelerators into customers’ cloud strategies by running model benchmarks, developing migration paths, and analyzing cost-to-performance. Partnering with Platform CEs, you will write code to build prototypes, proofs-of-concept, and demos that solve complex AI challenges and influence product development.

You will gather business and technical requirements to persuasively present practical solutions that prove the value of the Google Cloud portfolio.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $104000 – $150000 (USD) + 42.86% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/).

Responsibilities

• Be a trusted advisor to our customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure.

• Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof of concepts, demonstrating features, optimizing model performance, profiling, and benchmarking.

• Build repeatable assets to enable other customers and internal teams.

• Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.

• Travel to customer sites and events as needed.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’sApplicant and Candidate Privacy Policy (./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 alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/), Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf), Belonging at Google (https://about.google/belonging/), andHow we hire (https://careers.google.com/how-we-hire/).

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2).

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.