Senior Staff Software Engineer, Capacity and Demand Planning

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience with design and architecture; and testing/launching software products.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 5 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.
• Experience in building systems for capacity planning or supply chain.
• Understanding of AI/ML frameworks.

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.

In this role, you will manage technical project plans and break up problems into smaller sub-problems that are tractable. You will have a positive impact on the velocity and success of your teammates, mentor and coach within the organization. You will serve as the tech lead for the One Fleet Capacity Planning (OFCP) team. You will set technical strategy and direction across the demand forecasting and planning space and drive alignment across Engineering teams and partner organizations. You will partner and collaborate with capacity planners, related Engineering teams and product management to ensure the development of high-quality solutions in a timely manner. You will also lead design and code reviews.

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 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 $248,000-$349,000 + 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

• Provide technical leadership on high-impact projects.
  
• Manage project priorities, deadlines, and deliverables.
  
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.