Technical Program Manager III, ML Infrastructure Resource Management, Google Cloud

Google

Sunnyvale, CA

JOB DETAILS
JOB TYPE
Full-time, Employee
SKILLS
Analysis Skills, Capacity Allocations, Capacity Management, Cloud Computing, Communication Skills, Cross-Functional, Data Analysis, Equal Employment Opportunity (EEO), GPU (Graphics Processing Unit), Hyperion Pillar, Machine Learning, Machine Tool, Metrics, Modeling Languages, Network Operations Center, Process Improvement, Product Development, Product Engineering, Product Management, Programming Languages, Project Schedule, Project/Program Management, Python Programming/Scripting Language, Reliability Engineering, Resource Management, Risk Analysis, Risk Management, SQL (Structured Query Language), Schedule Development, Software Engineering, Supply Chain Management, Technical Leadership, Vehicle Fleets
LOCATION
Sunnyvale, CA
POSTED
15 days ago
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience in infrastructure resource management or Infrastructure capacity planning.
  • Experience working with data analytics tools like SQL, Python, Databases, or other programming languages.

Preferred qualifications:

  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience in large scale, distributed infrastructure.
  • Experience with deploying large language models or distributed machine learning.
  • Domain expertise in supply chain management or data center capacity planning, compute/storage infrastructure.

About the job

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.

The Machine Learning Resource Engineering (MLRE) team serves as the stewards of roughly half of Google’s global ML accelerator fleet. As an integral pillar of the broader ML Fleet organization, we are responsible for managing the Google-wide Large Language Model (LLM) Serving pool. In addition, we act as the dedicated Product Area Resource Management (PARM) partners for critical client groups across Alphabet.As a PARM group, our core mission centers on planning, deploying, and maximizing the efficiency of TPU and GPU capacity in strict alignment with Google’s top strategic priorities.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $237000 (USD) + 15% bonus target + bonus + equity + benefitsLearn more about benefits at Google.

Responsibilities

  • Act as a trusted advisor to Product Area partners, understanding their TPU/GPU requirements and delivering a guided, seamless resource management experience.
  • Collaborate closely with Software Engineering (SWE) and Site Reliability Engineering (SRE) teams to uncover, analyze, and execute on efficiency opportunities across our managed resource footprints.
  • Own the operational execution of capacity allocations and allied workflows using core Google tooling, a technical or engineering background is critical to successfully navigating this significant operational component.
  • Partner cross-functionally to drive tool and process optimizations. Leverage strong data analysis skills to convert fleet metrics into actionable business value and automated scalability.
  • Utilize an understanding of ML fundamentals to inform resourcing decisions, with a preference for practical experience in deploying large-scale ML models.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Company

G

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
EMPLOYEE BENEFITS
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
FOUNDED
1998
WEBSITE
https://goo.gle/4dbno6V