Customer Quality Engineer, Cloud AI Infrastructure

Google; Town of Montana (WI); On-site; USD 159,000 - 230,000; Full time

Job summary

Google Cloud is seeking a mid-level Customer Quality Engineer to ensure top-tier hardware quality for AI infrastructure. You will work with customers, engineering and product teams to diagnose issues and drive improvements across CPU/TPU hardware in our Cloud AI systems.

Responsibilities include tracking hardware observations, guiding internal tool development, and collaborating with SRE to sustain reliable deployments while maintaining strong customer advocacy and technical leadership.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years manufacturing/validation with CPU/dGPU/TPU.
• 3 years quality and reliability of technical infrastructure.
• Experience with semiconductor fabrication flows and test methods (ATE/DFT).
• Ability to troubleshoot and advocate for customer needs.
• Experience with system architecture (CPU/TPU/I/O/memory).

Responsibilities

• Track and manage customer hardware observations and priorities.
• Collaborate with internal engineering to diagnose issues and improve investigation tools.
• Work with Product, Quality, and Engineering teams to improve the product and services.
• Coordinate with Site Reliability Engineering to drive high-quality deployments.
• Assess the impact of hardware/software changes on deployed hardware.

Skills

CPU/TPU/dGPU

Quality & Reliability

Semiconductor fabrication

Troubleshooting

System Architecture

Education

Bachelor's degree in CS / IT or equivalent

Tools

Kubernetes

Slurm

Containerization

Job description

Customer Quality Engineer, Cloud AI Infrastructure

Location: Google, Austin, TX, USA

Experience Level: Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum Qualifications

• Bachelor's degree in Computer Science, Management Information Systems, or other technical field, or equivalent practical experience.
• 4 years of manufacturing or validation experience with CPU, dGPU, or TPU.
• 3 years of experience with quality and reliability of technical infrastructure.
• Experience with semiconductor and production manufacturing flows, and implementing test screens, ATE and DFT tests, and transistor parametrics.
• Experience troubleshooting and advocating for customer needs.
• Experience with System Architecture (CPU, TPU, I/O interfaces, or memory).

Preferred Qualifications

• Experience working with distributed systems, and familiarity with common solutions, design patterns, or best practices.
• Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
• Familiarity with containerization and orchestration technologies like Kubernetes or Slurm in an on-prem or cloud environment.
• Experience with systems automation, and systems design and debug.
• Experience working with vendors or customers.
• Advanced understanding of transistor fabrication and ASIC assembly processes.

About the Job

Our AI Infrastructure Engineering Support team is dedicated to ensuring our customers get the most out of their Google Cloud hardware investment. As a Customer Quality Engineer (Hardware Engineer), you will be working alongside customers, understanding and improving hardware quality. You will be driving multiple complex technical challenges, understanding customer impacts, and driving internal and external teams to maximize quality. 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 Pay Range: $159,000 - $230,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Track and manage customer hardware observations, helping guide priorities and resolution.
• Join with internal engineering teams to understand diagnosis and gauge impact resolution or implementation of new investigation tools to increase productivity on AI/ML infrastructure.
• Work closely with multiple Product, Quality, and Engineering teams to improve the product. Interact with our Site Reliability Engineering (SRE) teams to drive high-quality attainment.
• Understand the reliability and quality implications of hardware and software modifications and help teams understand how modifications could impact deployed hardware.
• Work directly with customers to understand hardware quality, track future quality improvements, and manage future changes that could improve quality on deployed hardware.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.