Job Description
Technical Program Manager, NPI System Software, TPU corporate_fare Google place Sunnyvale, CA, USA bar_chart Advanced Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Minimum qualifications:
Bachelor's degree in a technical field, or equivalent practical experience. 8 years of experience in program management. Preferred qualifications:
Experience in software engineering as a developer or development manager, with strong understanding of software development processes, tools, software test/qualification, release methodologies. Knowledge/experience with NPI development, firmware, driving software quality and process transformation. Excellent program management skills, with the demonstrated ability to successfully drive and land software programs. Excellent verbal and written communication and presentation skills with the ability to interact with both technical and non-technical audiences. Strong problem-solving, negotiation and organizational 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 AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $192,000-$278,000 + 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 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 . Responsibilities Lead end-to-end system software development programs, specifically focusing on Firmware (FW)/Software (SW) integration to support the bring-up, testing, and validation of new TPU and Compute generations. Orchestrate planning and execution across partner teams, including AI2, Google Cloud Platform (GCP), Google Cloud Directory (GCD), and Core, to ensure seamless integration of TPU software into the broader Google ecosystem. Manage the delivery of allied software components required to enable new NPI within the production fleet, ensuring all reliability and performance milestones are met. Provide critical Technical Program Manager (TPM) support for long-term roadmap development and resource allocation, balancing immediate project needs with future infrastructure goals. technical judgment to identify systemic bottlenecks. Drive initiatives that measurably improve software quality, developer velocity, and release predictability.
