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Executive Assistant, CTO & Team Lead
Plaid
San Francisco, CA
- $144,000 to $197,000 USD / year
…dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people…
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Operations Manager
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Atlanta, GA
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Sr I O Engineer - Remote
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Eden Prairie, MN
- $91,700 to $163,700 USD / year
area, you will be required to work in the office a minimum of four days per week
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Eden Prairie, MN
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UnitedHealth Group
Tampa, FL
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Las Vegas, NV
- $22 to $48 USD / hour
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SPECIALIST, CAREER & TECHNICAL EDUCATION (CTE) CURRICULUM
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Stay up to date on new data profiling technology and business intelligence tools.
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Must possess strong working knowledge skills and abilities for position
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Substitute Teacher - Jessieville Schools
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- $11 USD / hour
Kelly may use AI-powered tools during the recruitment and hiring process. For full details, including how Kelly uses AI, your rights, and how to request a reasonable accommodation, visit…
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Assistant Store Manager
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Senior Manager, Software Development
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…patient-facing kiosks, internal applications, APIs, and provider…
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Google

Field Application Engineer, Cloud AI Infrastructure

Kirkland, WA, United States
Sunnyvale, CA, United States

Apply on google.com About employer

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Job details

Posting language: English

Original job description

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Minimum qualifications:

Bachelor's degree in Computer Science, Management Information Systems, a related technical field, or equivalent practical experience.
4 years of experience in debug or validation with CPU, dGPU, or TPU.
3 years of experience with technical infrastructure (deployment or maintenance, and troubleshooting), and with quality and reliability of technical infrastructure.
3 years of experience with hardware debug (e.g., silicon, platform, IO interface, or memory analysis).
Experience with Linux/Unix systems and debugging issues across hardware/software boundary on enterprise-grade server infrastructure.
Experience troubleshooting and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, or virtualization).

Preferred qualifications:

Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
Experience with systems automation, and with systems design and debug.
Experience working with vendors or customers.
Experience working with distributed systems, and familiarity with common solutions, design patterns, or best practices.
Experience with ML frameworks (e.g., TensorFlow, PyTorch), and understanding of the AI/ML training and inference lifecycle.
Advanced understanding of memory and high-speed IO technologies.

Our AI Infrastructure Engineering Support team is dedicated to ensuring our customers get the most out of their Google Cloud hardware investment. As a Field Application Engineer (Hardware Engineer), you will be an on-site, external-facing trusted advisor to customers, driving hardware analysis, debug, and issue resolution. You will do in-depth research into complex technical issues, troubleshoot critical issues across the platform, and provide expert solutions that help customers innovate with confidence. In this role, you will represent the customer, collaborating with engineering and product teams to drive continuous improvement in our products and services. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Participate in on-call activities and manage server and data center CPU- and TPU-based activities, working with primary responders to resolve customer system observations.
Manage customers' problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity on AI/ML infrastructure.
Work closely with Product, Quality, and Engineering teams to improve the product. Interact with our Site Reliability Engineering (SRE) teams to drive high-quality attainment.
Develop an in-depth understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the root cause for customer-reported issues, and building tools for faster diagnosis.
Act as a consultant and subject matter expert for internal stakeholders in Engineering, Sales, and customer organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA.

Apply on google.com About employer

More about this job

Skills

Computer science
Troubleshooting
Linux
UNIX
Debugging
ML
TensorFlow
PyTorch
Google Cloud
Research
Troubleshoot
Process improvement
Hardware architectures
Sales

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Jobs in the United States