Technical Program Manager, ML NPI System SW

Google•Sunnyvale, CA

2h•$192,000 - $278,000

About The Position

As a Technical Program Manager at Google, you will lead complex, multidisciplinary projects from start to finish. You will work with stakeholders to plan requirements, identify risks, manage schedules, and communicate with cross-functional partners. The role requires explaining analyses and recommendations to executives and discussing technical tradeoffs with engineers. Within Google's AI and Infrastructure team, you will lead system software development programs for new product introductions and infrastructure software. The initial NPI focus is on TPU and GPU programs, while infrastructure software initiatives focus on improving the quality, efficiency, and reliability of Google's production fleet. You will use technical judgment and program leadership to align teams, address risks, improve development and deployment processes, and deliver products.

Requirements

Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience in program management.

Nice To Haves

8 years of experience managing cross-functional or cross-team projects.
Knowledge of or experience with NPI development, firmware, driving software quality, and process transformation.
Experience in software engineering as a developer or development manager, with a strong understanding of software development processes, tools, software testing and qualification, and release methodologies.
Excellent program management skills, with demonstrated ability to successfully drive and deliver software programs.
Excellent verbal and written communication and presentation skills, with the ability to interact with technical and non-technical audiences.

Responsibilities

Lead system software development programs, including system software for new product introductions (initially TPU and GPU programs) and infrastructure software programs focused on improving the quality, efficiency, and reliability of Google's production fleet.
Demonstrate ownership and deep technical judgment by identifying risks, ensuring end-to-end design alignment, and supporting high-quality software systems.
Identify opportunities for process and architecture/design improvements; re-engineer development, qualification, and deployment frameworks; and define and operationalize process improvements and automation to achieve repeatable results.
Navigate ambiguity and align leadership across internal and external organizations to build consensus on complex initiatives.
Lead a highly cross-functional team and navigate technical and organizational complexity to plan, execute, and deliver products.