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# Technical Program Manager III, GPU Infrastructure Reliability, Google Cloud

- **Company:** Google LLC
- **Location:** Kirkland, WA, United States
- **Experience:** Expert
- **Salary:** $163,000.0 - $237,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Distributed Systems, Machine Learning, Software Engineering, Graphics Processing Unit (GPU), Google Cloud, Machine Learning Operations, Hardware Infrastructure
- **Published:** June 17, 2026
- **Apply:** https://dejobs.org/x/x/675190B282E54134BA8EE3BDF4101D76/job/

## About the Role

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

Preferred qualifications:

 * 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, and experience with project planning, execution, and risk management.
 * Excellent communication and collaboration skills, with the ability to build relationships and influence across all levels of the organization.

## Description

* 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.


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