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Google Looking for Enterprise Customer Developer, AI Infrastructure, Google Cloud at Chicago, IL, USA Full Time
[For US Applicants]
The application window will be open until at least June 12, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.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: Chicago, IL, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Addison, TX, USA; Houston, TX, USA; Los Angeles, CA, USA; Miami, FL, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, 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.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with cloud infrastructure (e.g., hardware shapes, sizes, auto-scaling, auto-provisioning, etc.).
- Experience building or leveraging machine learning solutions and developing applications using AI frameworks and methods.
Preferred qualifications:
- Experience designing/developing large-scale infrastructure farms for specialist AI use cases.
- Experience training and fine-tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.
- Experience with containerization, Kubernetes, Kubernetes on cloud.
- Experience with running MLPerf benchmarks.
- Experience with performance profiling tools (i.e., Tensorflow profiler, PyTorch profiler, Tensorboard).
- Ability to engage with C-level or executive business leaders and influence decisions.
About the job
The Google Cloud Platform team helps customers transform and build what’s next for their business with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies, see the benefits of our technology come to life.
In this role, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes using technology to connect with customers, employees and partners.
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.
[For US Applicants]
The US base salary range for this full-time position is $159,000-$239,000 + 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
- 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 development that incorporate Google Cloud AI optimized infrastructure.
- Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on PoCs, 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.
