Google's AI and Infrastructure team is looking to solve some of the world's toughest problems by redefining what's possible and making the impossible easy. They aim to empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability, and velocity. This involves shaping the future of hyperscale computing by inventing and creating world-leading future technology, and driving global impact by contributing to Google infrastructure, from software to hardware.
Requirements
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.
- 8 years of experience with data structures/algorithms.
- Experience with information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile.
Responsibilities
- Design, develop, test, deploy, maintain, and enhance software solutions.
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
- Develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
- Handle information at massive scale, and extend well beyond web search.
- 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.
- Manage project priorities, deadlines, and deliverables.
- Inventing and creating world-leading future technology.
Other
- Provide technical leadership on high-impact projects.
- Influence and coach a distributed team of engineers.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack.
- Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Preferred qualifications: 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Preferred qualifications: 3 years of experience working in an organization involving cross-functional or cross-business projects.
