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Resource Optimization and Fleet Logic Technical Lead
GoogleSan Francisco, CA, USASenior8+ years
Apply In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 5 years of experience with design and architecture; and testing/launching software products.
- Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 12 years of professional software development experience or 8 years of experience with an advanced degree.
- 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 distributed systems architecture and building scalable systems for an enterprise business and with capacity planning or networking engineering.
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 focus on solving a host of issues as we expand our product suite to support the full portfolio of Cloud products, develop optimization solutions for Google-scale capacity curation, and develop sublinear-scale automation for deploying Google’s ML hardware. You will help us deliver a customer-focused software ecosystem that outpaces the growth of Google.
You will lead the architecture of Google’s Fleet planning and optimization, establishing the roadmap, and leading the execution and delivery of the ecosystem that underpins Google’s internal/external Cloud. You will deliver a customer-focused, resource ecosystem that supports the growth of Google. We are a team, working on some of Google infrastructure's critical programs.
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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Set the technical goals and strategy for delivering the above requirements and lead a multi-year technical roadmap, balancing short- and long-term technology investments.
- Shape the technical strategy and goal for optimal placement and reconfiguration of data center resources including machines, racks, space, power, network, cooling to ensure industry leading utilization efficiency.
- Drive the roadmap and partner with Product Management on the definition and development of new features.
- Engage with partner teams to align on product requirements, solution architecture, and emerging requirements and issues.
- Help teams find the right short-term and long-term balance between development velocity and generalization of software solutions. Uphold a culture of respect, innovation, growth, engineering excellence, landings, and customer focus.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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