Technical Program Manager, ML Systems Software
Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Oct 22, 2026. Google scores B on the Alion truth index.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead system software development programs, driving full stack Software (SW) development from ASIC firmware, management controller firmware, kernel driver, OS and system monitoring/management services, to integration with production cluster management and ML compiler tool chains, driving pilot criteria and workloads, to enable successful landings of TPU/GPU ML systems.
- Lead highly cross-functional teams, navigate technical and organizational complexity to drive planning, execution and land products.
- Navigate ambiguity to align leadership across internal and external organizations, driving consensus on complex initiatives.
- Demonstrate ownership and deep technical judgment, identifying risks, ensuring end to end design alignment and high quality SW systems.
- Move beyond execution and task management to identify opportunities for process and architecture/design improvements, resolving alignment or process breakdown between organizations, defining and operationalizing process improvements and automation to achieve repeatable results.
Qualifications
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, preferably as a developer or development manager, with strong understanding of SW development processes, tools, SW test/qualification, release methodologies.
- Knowledge/experience with NPI development, firmware, driving SW quality and process transformation would be a bonus but not necessary.
- Demonstrated ability to successfully drive and land complex programs involving Hardware (HW) and SW.
- Ability to leverage AI and automation to simplify and scale program management workflows.
- Excellent verbal and written communication and presentation skills with the ability to interact with both technical and non-technical audiences.
- Strong analytical, problem-solving, negotiation and organizational skills.