Staff Software Engineer, Google Data Center Planning
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 19, 2026. Google scores B on the Alion truth index.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google manages one of the largest data center infrastructures in the world and continues to expand at an incredible pace, meeting increased demand for ML training and inference hardware. Our team's mission is to provide the optimal global data center demand and supply plans for Google and ensure adequate data center capacity for customers, enabling the fleet to keep up with the incredible scale of internal and external ML demand. We measure our success in the gigawatts, and every decision & software optimization we make has massive impact for the company.
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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Be responsible for optimal usage of gigawatts of DC capacity across all internal & external customers over multi-year time horizon.
- Lead talented junior engineers to drive policy, propose technical designs, write software, identify and address software defects, and measure success of the system. Provide 1-1 guidance and mentorship of junior engineers.
- Work closely with business teams to develop and drive policy changes in tandem with the technical roadmap. Align with partner and cross-functional teams on dependencies and joint commitments.
- Drive the software development process including coding, review, design and architecture discussion. Communicate technical impact to the broader ecosystem.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++.
- 5 years of experience testing, and launching software products.
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 3 years of experience with software design and architecture.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.