Jobs in the United States

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Added just now
Director, AI and Analytics
UFCU Main
Austin, TX
Certifications, i.e. Databricks Machine Learning Professional OR Databricks Data Engineer Professional, Cloud Architect certification (Azure/AWS/GCP), or equivalent
Added just now
Enterprise Cloud SE Tech Specialist
Arcfield
Chantilly, VA
Arcfield is seeking an Enterprise Cloud Systems Engineer Tech Specialist to serve as a trusted technical advisor to government and contractor stakeholders, leading enterprise and mission…
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Ground Enterprise Systems Engineer
Arcfield
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Arcfield is seeking a Ground Enterprise Systems Engineer to support the Chief Architect (CA) Office in defining, analyzing, and evolving complex mission and ground enterprise architectures.…
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Ground Enterprise Senior Systems Engineer
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Chantilly, VA
Arcfield is seeking a Ground Enterprise Senior Systems Engineer to support the Chief Architect (CA) Office in defining, analyzing, and evolving complex mission and ground enterprise…
Added 1 min ago
Operations Manager
Wunderlich-Malec
Atlanta, GA
Provide timely operational data for BU financial reporting, including project performance, staffing forecasts, and key metrics
Added 1 min ago
UG
Sr I O Engineer - Remote
UnitedHealth Group
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
Added 1 min ago
Principal Value Engineer
Aerospike, Inc.
Remote, United States
Aerospike is hiring a Principal Value Engineer to help enterprise customers build a clear, defensible case for investing in Aerospike. This person will translate technical change into…
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PROGRAM MANAGER (MISSION SUPPORT OFFICER) (T32)
Air National Guard Units
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…sophisticated communications and computer systems, personnel data systems, real property assets, and associated equipment that comprise a significant share of base fiscal resources. A work…
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CyberSecurity SIEM Engineer (Senior SDC)
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Rogers, AR
To qualify for the role you must have
Added 2 mins ago
F
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- $150,000 to $200,000 USD / year
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Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer
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· Experience with API design, microservices, event-driven architectures, data integration, and messaging (e.g., Kafka, MQ)
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Java Developer (Bentonville, AR)
Insight Global
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Summer 2027 Corporate Intern: APD Automation Engineer
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How data, simulation, and experimentation drive operational improvements
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Sr Tech Support Engineer MI -1 (Level 2 support for medical device software)
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The Senior Technical Support Engineer, MI – I (Tier 1) provides highly visible remote technical support across our product lines for HCUS customers. This role focuses on more complex issue…
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Member of Product Staff
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Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity.
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Principal Software Engineer V
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As a Principal Software Engineer V at Indeed, you will provide technical leadership on complex, cross-cutting platforms and systems that enable teams across the company to build high-impact…
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Operations Security Engineer
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Role Description: The Security Engineer will support security initiatives focused on strengthening network and infrastructure security across the organization. This role will help develop…
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Lead Director - Security Operations Center (SOC)
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AI Native Data and Knowledge Architect - Senior Manager
EY
Little Rock, AR · Rogers, AR
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Sr Tech Support Engineer MI -1 (for medical imaging devices)
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The Senior Technical Support Engineer, MI – I (Tier 1) provides highly visible remote technical support across our product lines for HCUS customers. This role focuses on more complex issue…
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Technical Engineer
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Technical Proficiency: Comfortable with a range of data tools and technologies, with a willingness to learn new skills as needed
Added 2 mins ago
AT
Server Tech Services Engineer II
Akamai Technologies, Inc.
Little Rock, AR
- $76,100 to $136,900 USD / year
As a Server Tech Services Engineer II, you will serve as a key technical leader. You will resolve high-severity hardware and network issues across Akamai's infrastructure. In this role, you…
Added 2 mins ago
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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.

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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