Software Engineering Manager, GPU Reliability

Google Inc.; Seattle (WA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Paid holidays

Job summary

Google Seattle, WA, USA is seeking an Software Engineering Manager, GPU Reliability to lead a team of engineers responsible for the reliability and performance of Google's GPU infrastructure and AI platforms. You will own technical roadmaps, mentor engineers, and influence product strategy across multiple teams.

The role requires advanced leadership, 8+ years in software development, and 2+ years in people management, with hands-on experience in ML design and infrastructure.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management, supervision/team leadership role.

Responsibilities

• Lead, mentor, and grow a team of software engineers, fostering a collaborative culture and supporting career development.
• Execute technical roadmaps for the GPU ecosystem, anticipating market shifts to advance Google Cloud's AI infrastructure.
• Oversee the accelerator solution lifecycle, driving root-cause analysis and resolving production issues to guarantee fleet reliability.
• Collaborate with customers as a technical advocate to resolve critical challenges and translate feedback into platform enhancements.
• Author and review technical specifications to maintain architectural consistency, high code quality, and long-term platform maintainability.

Skills

Outcome ownership

Leadership

ML design

ML infrastructure

Data processing

Debugging

Fine-tuning

Software testing

System architecture

People management

Education

Bachelor's degree or equivalent

Job description

Software Engineering Manager, GPU Reliability

Google Seattle, WA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.
• Experience with data science, data modeling, large-scale data processing, and reliability metrics.
• Experience in runtimes, Firmware, GPU drivers, embedded systems, embedded processors, and real time systems.

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.

The Cloud GPU team drives AI innovation by building and maintaining Google Cloud’s industry-leading GPU fleet and AI platform. We empower sophisticated training and inference customers by delivering unparalleled computational resources. Owning the entire lifecycle of GPU offerings from launching new architectures to ensuring optimal reliability for workloads. We operate at the intersection of hardware, software, and applied AI. In this role, you will collaborate with cross-functional partners to build the foundational infrastructure fueling AI advancements across global industries. You will contribute to the future of AI and enable breakthrough solutions for a rapidly evolving customer base.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

• Lead, mentor, and grow a team of software engineers, fostering a collaborative culture and supporting career development.
• Execute technical roadmaps for the GPU ecosystem, anticipating market shifts to advance Google Cloud's AI infrastructure.
• Oversee the accelerator solution lifecycle, driving root-cause analysis and resolving production issues to guarantee fleet reliability.
• Collaborate with customers as a technical advocate to resolve critical challenges and translate feedback into platform enhancements.
• Author and review technical specifications to maintain architectural consistency, high code quality, and long-term platform maintainability.

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.

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.