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Job Type
Full Time -
Experience
8-10 year -
Salary
$134,000 - $198,000 / Year -
Location
Sunnyvale, CA, USA -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Bash scripting, Design, GPUs, Machine learning techniques, Python Programming, SQL, Supply Chain Management
Job Description
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, a related field, or equivalent practical experience.
- 8 years of experience as a Manufacturing, Quality, Reliability, or Product Engineer.
- 5 years of experience with a company developing supply chains in manufacturing and testing.
- Experience working with Original Device Manufacturers (ODMs), contract manufacturers and component suppliers for data center class products.
Preferred qualifications:
- Master's degree in Electrical Engineering, or a related field.
- 10 years relevant work experience at a company developing supply chains in manufacturing and testing.
- Experience working with Original Device Manufacturers (ODMs), contract manufacturers and component suppliers for data center server accelerator products (GPU, FPGA or ASIC based).
- History of working with contract manufacturers and suppliers to drive root cause analysis, corrective actions and continuous process improvements.
- Experience of bring-up and/or bench testing hardware in a lab environment.
- Knowledge of SQL queries and scripting in Python or Bash.
About the job
The Machine Learning Supply Chain and Operations (MLSCO) team is responsible for the deployment of Machine Learning capacity in Google’s Fleet. MLSCO New Product Introduction (NPI) leads cross-functional program planning and execution to deliver next generation Machine Learning systems from Concept to EOL. Together, we are building the engine which powers Google's ML capability and driving the evolution of artificial intelligence.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
The US base salary range for this full-time position is $134,000-$198,000 + 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
- Lead reviews between Design and Operations Engineering to drive deliverables that are key to implementing the manufacturing plan, such as DFx and test strategy.
- Provide on-site and remote support for pre-production builds. Ensure factory readiness, support manufacturing line bring-up, provide product debug training and gather feedback on build issues. Manage the bonepile and drive yield bridge analysis to improve product quality.
- Lead the technology assessment for new products. Co-work with the product team to influence design decisions, highlight manufacturing risks, and develop mitigation plans.
- Collaborate with Quality and Reliability Engineers to establish NPI and production targets for yield. Validate product qualification plans, support reliability testing and ensure product performance meets requirements.
- Lead cross-functional team towards resolution of component/build quality excursions during NPI build phases.
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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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