Customer Engineer , AI Infrastructure, Google Cloud
Listed on 2026-10-11
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IT/Tech
Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
X The 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. 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
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
.
- 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.
- Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.
- Experience with performance profiling tools (i.e., Tensor Flow profiler, PyTorch profiler, Tensorboard).
- 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.
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…
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