Engineering Manager, GPU Reliability, Accelerators

Google Inc.; Sunnyvale, Northern (CA, KY); Hybrid; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google Inc. in Sunnyvale, CA, is hiring an Engineering Manager to lead GPU Reliability for Accelerators. This role focuses on guiding a team of engineers, setting technical direction, and ensuring reliable performance of GPU systems across large-scale infrastructure.

You will oversee architecture, incident response, and cross-team collaboration to deliver scalable, reliable AI infrastructure, with in-depth experience in embedded systems and GPU software development.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• 5 years of experience with software architecture and embedded systems.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience with GPU programming, systems reliability and computer architecture.

Responsibilities

• Architect the GPU Reliability Systems Operations and Tooling SW organization to transition from NPI-specific task forces into a centralized organization.
• Drive the GPU support strategy by developing a roadmap for fleet health reliability, capacity turn-up, and automated health management.
• Establish and enforce Service Level Objectives and Service Level Indicators for GPU Pod availability and performance.
• Sponsor automation and toil reduction efforts by driving the development of advanced telemetry and debugging tooling.
• Manage high-severity escalations for critical hardware and software issues, leading incident response and blameless post-mortems.

Skills

C++

Java

Python

Kotlin

Go

Software architecture

Embedded systems

Technical leadership

People management

GPU programming

System reliability

Computer architecture

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science or related field

Job description

Engineering Manager, GPU Reliability, Accelerators

Share Engineering Manager, GPU Reliability, Accelerators

Google Sunnyvale, CA, USA

In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor’s degree, or equivalent practical experience.
  
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• 5 years of experience with software architecture and embedded systems.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience with GPU programming, systems reliability and computer architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 3 years of experience working in a complex, matrixed organization.
  
• Experience in organizational design to consolidate task forces, steering platforms from New Product Introduction to General Availability.
• Experience operating in a Cloud environment and partnering with strategic customers to improve infrastructure.
• Experience leveraging AI platforms, Generative AI Agents, and distributed systems for software development.
• Strong background in GPU Systems Operations, designing automated diagnostic frameworks and telemetry for hardware and software faults.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

This is your chance to lead at the absolute cutting-edge of AI infrastructure. In this role, you will manage a team responsible for the reliability of the world's largest GPU supercomputer systems, the massive "brains" that play a vital role in driving Google's AI advancements. You will have the unique opportunity to navigate transformative technologies, from low-level GPU system software reliability to working with AI agents, positioning yourself at the foreground of the AI infrastructure domain.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're behind Google's groundbreaking innovations, empowering the development of AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• Architect the GPU Reliability Systems Operations and Tooling SW organization to transition from NPI-specific task forces into a centralized organization.
• Drive the GPU support strategy by developing a roadmap for fleet health reliability, capacity turn-up, and automated health management.
• Establish and enforce Service Level Objectives and Service Level Indicators for GPU Pod availability and performance.
• Sponsor automation and toil reduction efforts by driving the development of advanced telemetry and debugging tooling.
• Manage high-severity escalations for critical hardware and software issues, leading incident response and blameless post-mortems.

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 .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.