Technical Program Manager III, GPU Infrastructure Reliability, Cloud

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 (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Seattle, WA, USA;
Kirkland, WA, USA;
Sunnyvale, CA, 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, 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.

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. 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.

You’re equally comfortable explaining your team s analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

As the Technical Program Manager, you will manage planning, execution, and delivery of projects related to ML workload monitoring and diagnostic tooling for AI Hyper Compute Clusters. This tooling is essential to provide insights into performance degradation within ML workloads, enabling efficient identification and resolution of performance issues. You will also collaborate with cross-functional teams, including engineers, data scientists, and product managers to ensure successful project outcomes and drive the development of scalable solutions for ML performance monitoring and diagnostics.

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.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Collaborate with cross-functional teams to define project scope, goals, and deliverables. Develop detailed project plans, identify dependencies, and manage timelines.
• Communicate with stakeholders…