Careers
Careers

job details

Back to jobs search

Jobs search results

2,463 jobs matched
Back to jobs search

Technical Program Manager III, TPU Systems, NPI, Cloud AI

GoogleSunnyvale, CA, USA

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience with new product introduction (NPI) across software or hardware products (architecture, development, launch).
  • Experience in ML/GPU Systems, infrastructure systems, and data center hardware.

Preferred qualifications:

  • 5 years of experience managing cross-functional or cross-team projects.
  • Ability to align, prioritize, resource, and scale programs according to strategic objectives, and to result in maximized organizational benefits and improved business outcomes.
  • Ability to assess engineering problems, understand the interplay between program and technical issues, and contribute to shaping technical directions.
  • Ability to interact with both technical and non-technical audiences.
  • Ability to successfully drive and land large and complex programs.
  • Excellent program management, presentation, verbal and written communication skills.

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 Platforms Infrastructure Engineering PMO is part of Technical Infrastructure under MSCA programs organization and partners with GCE/TI Engineering and Operations teams to deliver a broad product roadmap of systems, hardware and software critical to enabling Cloud and Google services. Our organization provides technical program management, focusing on increasing velocity, quality, predictability, and coordination across teams.

As part of the Platforms PMO team, Machine Learning (ML) System PMO team leads the programs from concept to production where we design, build and deliver industry-leading ML Systems for internal PAs and Cloud customers.

In this role, you will lead complex ML supercomputer NPIs (such as TPU systems) that involves cutting edge technology, in house hardware and software design, deployment to the data centers and extensive cross-functional engagement. You will have the opportunity to make a direct impact towards ML business goals which is part of top company OKRs. ML is a fast growing area and highest priority for TI/MSCA

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.

Responsibilities

  • Partner with key engineering leads/stakeholders, contribute to ML System Roadmap by program managing complex projects, organize cross-project work within the program, and define program controls/governance/standards.
  • Lead end-to-end development and landing of next-generation ML Systems through NPI PLC process from concept to production and sustaining.
  • Drive a portfolio of tracks to make direct and measurable impact on customer adoption and partner with engineering leads and cross-functional teams to ensure that organization-wide OKRs are set and reflect top-level strategy as well as ensure projects are effectively prioritized, resourced, and managed.
  • Engage with executives and cross-functional leaders to strategize and drive ML Hardware/System roadmap.  
  • Ensure all leadership/stakeholders are aware of progress/blockers on a continuous basis, drive strategic and tactical decisions throughout all organizations and levels. 

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Google apps
Main menu