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Google Enterprise Customer Engineer High Performance Computing Google Cloud United States, Georgia, Atlanta 188675804
22.07.2024
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This role may also be located in our Playa Vista, CA campus.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Nashville, TN, USA; Cambridge, MA, USA; Chandler, AZ, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Houston, TX, USA; Irvine, CA, USA; Kansas City, MO, USA; Kirkland, WA, USA; Las Vegas, NV, USA; Miami, FL, USA; Madison, WI, USA; Mountain View, CA, USA; New York, NY, USA; Portland, OR, USA; Pittsburgh, PA, USA; Los Angeles, CA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Salt Lake City, UT, USA; Washington D.C., DC, USA.Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 6 years of experience with HPC systems hardware architecture, network interconnect technologies and topologies, and HPC storage file systems.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
- Experience selling technical products or services.
- Experience with cloud computing platforms such as Google Cloud Platform.
- Experience using an AI Platform to build, deploy, and manage machine learning models.
Preferred qualifications:
- Master's degree in Computer Science or a related technical field.
- Experience as an IT infrastructure consultant or enterprise architect in data center transformation strategies, migrations, and proposals, including organizational alignment and change management.
- Experience serving as a technical sales engineer in a high-performance computing environment or in a customer-facing role.
- Experience designing and implementing performant HPC systems, including job schedulers, message passing interface, high-speed interconnects and parallel file systems.
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