Field Solution Architect III, AI Infrastructure, Google Cloud

Senior • On-site

$177,000 - $263,000/yr

Sunnyvale, CA , +1

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.

Google

Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.