Minimum qualifications:

　　Bachelor's degree or equivalent practical experience.

　　8 years of experience in software development, and with data structures/algorithms.

　　5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

　　5 years of experience building and operationalizing machine learning models, and 2 years of experience in technical leadership role.

　　Active US Government Top Secret clearance.

　　Preferred qualifications:

　　Experience training and fine tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators.

　　Experience with running MLPerf benchmarks.

　　Experience with performance profiling tools (e.g., TensorFlow profiler, PyTorch profiler, TensorBoard).

　　Experience with distributed training and optimizing performance versus costs.

　　Experience designing/architecting large-scale infrastructure farms for specialist AI use cases.

　　Ability to engage with C-level or executive business leaders and influence decisions.

　　The 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.

　　The US Federal team are experts on helping US Government agencies transform their mission to better serve the people. Our team figures out how to bring the best of Google Cloud to the unique environment in the US Government.

　　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 use technology to connect with customers, employees and partners. 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. You will work closely with internal Cloud AI teams to remove roadblocks and shape future offerings.

　　Must be a US Citizen to access Controlled Unclassified Information

　　Google Public Sector (https://about.google/intl/ALL_us/public-sector/#::text=We) brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

　　The US base salary range for this full-time position is $185,000-$283,000 + 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 (https://careers.google.com/benefits/) .

　　Serve as 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 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 needed.

　　Google 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.