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Job Type
Full Time -
Experience
4-6 year -
Salary
$130,000 - $194,000 / Year -
Location
Atlanta, GA, USA
Austin, TX, USA
Chicago, IL, USA
Kirkland, WA, USA
New York, NY, USA
Sunnyvale, CA, USA -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Aartificial intelligence, Cloud computing, Data Architecture, Data Discovery, Data Migration, Data Modelling, Data science techniques, Data security, Design, Distributed systems, Edge AI, Education, Enterprise Architect, Genomic data, Google Cloud Platform (GCP), Google Products, HTTP acceleration, Image processing, Infrastructure as code, Language skills, Large scale data processing, Leadership, Logic-analyze, Machine learning techniques, Mathematics, Operations, Optimization, Perf, Planning and organization, Presentation skills, PyTorch, Recommendation Systems, Site Reliability Engineering (SRE), SQL Tuning, TensorFlow, Text segmentation
Job Description
Minimum qualifications:
- 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 job
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. 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.
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 needed
Company Info.
GoogleGoogle LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.
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IndustryE-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
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No. of Employees139,995
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Location1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
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Website
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Jobs Posted
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Google is currently hiring AI Infrastructure Engineer Jobs in Atlanta, GA, USA; Austin, TX, USA; Chicago, IL, USA; Kirkland, WA, USA; New York, NY, USA; Sunnyvale, CA, USA with average base salary of $130,000 - $194,000 / Year.
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10-12 year
AI/ML Field Solutions Architect
GoogleBangalore, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India
4-6 year
Image Processing Machine Learning Engineer
GoogleNew Taipei, Banqiao District, New Taipei City, Taiwan
2-4 year
Data Solution Engineer, Google Cloud
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
4-6 year
AI Engineer, Professional Services, Google Cloud
GoogleAustin, TX, USA; Chicago, IL, USA; Dallas, TX, USA; Kansas City, MO, USA; Los Angeles, CA, USA; New York, NY, USA; Reston, VA, USA; San Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
4-6 year
Software Engineer, Early Career, Campus
GoogleCambridge, MA, USA; Durham, NC, USA; Mountain View, CA, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; San Bruno, CA, USA; Seattle, WA, USA
0-2 year
Associate Commercial Counsel, AI Research
GoogleAtlanta, GA, USA; Chicago, IL, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA; Washington D.C., DC, USA
4-6 year
Sales Engineer, Machine Learning, Google Cloud
GoogleAtlanta, GA, USA; New York, NY, USA; Salt Lake City, UT, USA; San Diego, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA; Tennessee, USA
0-2 year
Senior Staff Data Scientist
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; San Diego, CA, USA; Sunnyvale, CA, USA
12-14 year
Software Engineer III, Computer Vision/Infrastructure, AR
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; United States
0-2 year
Data Scientist, Ads Marketing Analytics
GoogleChicago, IL, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA
2-4 year
Cloud Engineer, AI/ML
GoogleBangalore, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Pune, Maharashtra, India
4-6 year
Technical Program Manager III, Generative AI, Search
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA; Sunnyvale, CA, USA
6-8 year
Data Analytics Apprenticeship, March or June 2024 Start
GoogleBangalore, Karnataka, India; Gurgaon, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India
0-2 year
Open Source Lead, Staff Software Engineer, Quantum AI
GoogleGoleta, CA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; Seattle, WA, USA
6-8 year
Research Scientist, Machine Learning, Computational Photography
GoogleHaifa, Israel; Tel Aviv, Israel
4-6 year
Machine Learning Software Engineer, Silicon
GoogleMountain View, CA, USA; San Diego, CA, USA
12-14 year
Product Manager, AI Imagery, Google Research
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA
4-6 year
Group Product Manager, AI/ML, Qwiklabs, Google Cloud
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA
10-12 year
Business Data Scientist, Natural Language Specialist
GoogleMountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA
2-4 year
Business Data Scientist, Ads Marketing Analytics
GoogleMountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA
2-4 year
Compliance Business Analytics Manager, Trust and Safety, YouTube
GoogleMountain View, CA, USA; Seattle, WA, USA
6-8 year
Staff Software Engineer, High Performance Computing, Google Cloud
GoogleSunnyvale, CA, USA
8-10 year
Customer Engineer, Business Intelligence, Google Cloud
GoogleBeijing, China; Shanghai, China; Shenzhen, Guangdong Province, China
8-10 year
Partner Engineer Specialist, Machine Learning and Artificial Intelligence
GoogleSingapore
10-12 year
Technical Program Manager, Evals (Mountain View or New York)
Google DeepMindMountain View, CA, USA
4-6 year
Funnel and Pipeline Analytics Manager, Google Cloud, Marketing
GoogleKirkland, WA, USA; New York, NY, USA; San Francisco, CA, USA; Sunnyvale, CA, USA
2-4 year
Sales Engineer, Application Modernization, Google Cloud
GoogleBerlin, Germany; Frankfurt, Germany; Hamburg, Germany; Munich, Germany
2-4 year
Head of Social Science
GoogleLos Angeles, CA, USA; New York, NY, USA; Portland, OR, USA; San Francisco, CA, USA
10-12 year
Qualitative User Experience Researcher, Early Career 2024
GoogleCambridge, MA, USA; New York, NY, USA; San Francisco, CA, USA; Sunnyvale, CA, USA
0-2 year
Emerging Partnerships Lead, Generative AI
GoogleSan Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
8-10 year
Student Researcher, PhD, Winter/Summer 2024
GoogleWaterloo, ON, Canada; Montreal, QC, Canada; Toronto, ON, Canada
0-2 year
Field Solutions Developer II, Generative AI, Google Cloud
GoogleMontreal, QC, Canada; Toronto, ON, Canada; Waterloo, ON, Canada
6-8 year
Field Solutions Developer II, Generative AI, Google Cloud
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Charlotte, NC, USA; Addison, TX, USA; Houston, TX, USA; Las Vegas, Nevada, USA; New York, NY, USA; Portland, OR, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Salt Lake City, UT, USA; Sunnyvale, CA, USA
6-8 year
Field Solutions Developer III, Generative AI, Google Cloud
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Charlotte, NC, USA; Addison, TX, USA; Houston, TX, USA; Las Vegas, Nevada, USA; New York, NY, USA; Portland, OR, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Salt Lake City, UT, USA; Sunnyvale, CA, USA
8-10 year
Field Solutions Developer III, Generative AI, Google Cloud
GoogleMontreal, QC, Canada; Toronto, ON, Canada; Waterloo, ON, Canada
8-10 year
ASIC RTL Design Engineer, ML Accelerators, University Graduate
GoogleSunnyvale, CA, USA; Madison, WI, USA
0-2 year
Field Solutions Architect, Generative AI, Google Cloud
GoogleMunich, Germany; Ludwigsfelde, Germany; Frankfurt, Germany; Hamburg, Germany
8-10 year
Cloud Technical Resident, Cloud Academy, Early Career (English, Mandarin)
GoogleTaipei, Taiwan
0-2 year
Cloud Technical Resident, Cloud Academy, Early Career (Tagalog, English)
GoogleTaguig, Metro Manila, Philippines
0-2 year
Cloud Technical Resident, Cloud Academy, Early Career (Korean, English)
GoogleSeoul, South Korea
0-2 year
Cloud Technical Resident, Cloud Academy, Early Career (English, Japanese)
GoogleTokyo, Japan
0-2 year
Student Researcher, PhD, Winter/Summer 2024
Google DeepMindMontreal, QC, Canada; Toronto, ON, Canada; Waterloo, ON, Canada
0-2 year
Chief of Staff, Google Research
GoogleMountain View, CA, USA; New York, NY, USA; Seattle, WA, USA
8-10 year
Senior Engineering Manager, Machine Learning
GoogleKirkland, WA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
8-10 year
Senior Staff Data Scientist, Research
GoogleKirkland, WA, USA; Mountain View, CA, USA; New York, NY, USA
20-22 year
Generative AI Field Solutions Architect
GoogleBengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India
2-4 year
Group Social Science and Central Marketing Services Manager
GoogleLos Angeles, CA, USA; New York, NY, USA; San Francisco, CA, USA
4-6 year
Software Student Training in Engineering Program (STEP) Intern, 2024
GoogleBengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India
4-6 year
Staff Software Engineer, Machine Learning, Secure Storage Infrastructure
GoogleMountain View, CA, USA; San Francisco, CA, USA; Seattle, WA, USA
8-10 year
Audio/ML Staff Software Engineer, Project Starline
GoogleMountain View, CA, USA; San Francisco, CA, USA; Seattle, WA, USA
4-6 year
Macro Economist, Finance
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; San Francisco, CA, USA
0-2 year
Technical Curriculum Developer, AI/ ML, Google Cloud
GoogleAtlanta, GA, USA; Austin, TX, USA; Chicago, IL, USA
4-6 year
Technical Lead, Google Kubernetes Engine, Generative AI
GoogleKirkland, WA, USA; Mountain View, CA, USA; Seattle, WA, USA
14-16 year
Technical Solutions Consultant, AI, Google Cloud
GoogleAustin, TX, USA; New York, NY, USA; Sunnyvale, CA, USA
4-6 year
ML Compute IP Engineer, Hardware/Software Integration/Validation
GoogleMadison, WI, USA; Sunnyvale, CA, USA
4-6 year
Product Counsel, Google Assistant and Google Bard
GoogleAustin, TX, USA; Mountain View, CA, USA
6-8 year