Enterprise Customer Engineer, AI Infrastructure, Google Cloud

Company: Google Inc.
Location: Boulder
Posted on: September 17, 2023

Job Description:

Enterprise Customer Engineer, AI Infrastructure, Google Cloud corporate_fare Google place Boulder, CO, USA ; +28 more laptop_windows Remote eligible Apply info_outline X Info This role may also be located in our Playa Vista, CA campus.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: Boulder, CO, USA; Nashville, TN, USA; Chandler, AZ, USA; Reston, VA, USA; Durham, NC, USA.Remote location(s): Arizona, USA; California, USA; Colorado, USA; District of Columbia, USA; Florida, USA; Georgia, USA; Illinois, USA; Massachusetts, USA; Michigan, USA; Minnesota, USA; Missouri, USA; North Carolina, USA; New Jersey, USA; Nevada, USA; New York, USA; Ohio, USA; Oregon, USA; Pennsylvania, USA; Tennessee, USA; Texas, USA; Utah, USA; Virginia, USA; Washington, USA; Wisconsin, USA. This role may also be located in our Playa Vista, CA campus.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: Boulder, CO, USA; Nashville, TN, USA; Chandler, AZ, USA; Reston, VA, USA; Durham, NC, USA.
Remote location(s): Arizona, USA; California, USA; Colorado, USA; District of Columbia, USA; Florida, USA; Georgia, USA; Illinois, USA; Massachusetts, USA; Michigan, USA; Minnesota, USA; Missouri, USA; North Carolina, USA; New Jersey, USA; Nevada, USA; New York, USA; Ohio, USA; Oregon, USA; Pennsylvania, USA; Tennessee, USA; Texas, USA; Utah, USA; Virginia, USA; Washington, USA; Wisconsin, USA.

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience
  
• 5 years of experience with cloud infrastructure
  
• Experience building and operationalizing machine learning models
  Experience in delivering technical presentations while leading detailed discovery and planning sessions that are aligned jointly with the customer with defined scope and success criteria Preferred qualifications:
  • Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators
    
  • Experience with running MLPerf benchmarks
    
  • Experience with performance profiling tools (i.e., Tensorflow profiler, PyTorch profiler, Tensorboard)
    
  • Experience with distributed training and optimizing performance versus costs
    
  • Designing/architecting large scale infrastructure farms for specialist AI use cases
    
  • Ability to engage with C-level or senior business leaders and influence decisions
    About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are engineered 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. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.In this role, you will identify and assess large scale AI opportunities that would benefit from AI optimized infrastructure. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. Along the way, you would work closely with internal Cloud AI teams to remove roadblocks and shape the future offerings
    Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. 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. Salary Range Info: The US base salary range for this full-time position is $130,000-$194,000 + 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 for new hire 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 top 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 POCs, demonstrating features, optimizing model performance, profiling, and bench-marking
    • 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 neededGoogle 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 Google's EEO Policy and Know your rights: workplace discrimination is illegal . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .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.At Google, we're committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we're building belonging, please visit our Belonging page for more information.We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

Keywords: Google Inc., Boulder , Enterprise Customer Engineer, AI Infrastructure, Google Cloud, Engineering , Boulder, Colorado