Technical Program Manager III, GPU Infrastructure Reliability, Google Cloud

Technical Program Manager III, GPU Infrastructure Reliability, Google Cloud

As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi‑disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross‑functional partners across the company.

To empower AI innovation by accelerating the delivery of cloud‑based accelerator (GPU) NPIs built into large‑scale supercomputer clusters, you will lead the end‑to‑end development and delivery of next‑generation Cloud GPU products. You will take charge of software qualification and release strategies for AI hypercompute clusters, collaborating deeply with engineering, product, and capacity planning teams. Beyond managing critical escalations and mitigating risks, this role offers an opportunity to shape cross‑functional initiatives alongside ACI leadership and other TPMs to streamline customer onboarding and support.

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

Preferred working location:
Sunnyvale, CA, USA;
Kirkland, WA, USA
.

• Bachelor’s degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience with infrastructure reliability.
• Experience with GPUs or GPU systems.

• 5 years of experience managing cross‑functional or cross‑team projects.
• 5 years of experience in technical program management, with a focus on software engineering and ML infrastructure projects.
• Knowledge of software development, distributed systems, and ML infrastructure or GPU systems.
• Ability to think critically and solve problems.
• Excellent project management skills, including planning, execution, and risk management.
• Excellent communication and collaboration skills, with the ability to build relationships and influence across all levels of the organization.

US: $163,000 - $237,000 (USD) + 15% bonus target + equity + benefits

• Lead the end‑to‑end development, project planning, and delivery of next‑gen AI Infra GPU products from concept to production.
• Lead software qualifications, release strategy, and test infrastructure management for AI hypercompute clusters.
• Manage escalations and critical incidents while proactively identifying and mitigating risks that could impact project success.
• Coordinate with TPMs in AI2 (e.g., ACI, Platforms, and CSCO) and ACI leadership on cross‑functional initiatives related to AI Infra customer onboarding and production support.
• Participate in the development of core management software, monitoring, and diagnostic tooling for scalable Cloud ML solutions.

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 or 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 otherwise stated in the job posting.

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