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. The Architecture, Automation, Analysis, and Accelerator team in Google Cloud is responsible for developing innovative solutions to improve the performance, cost, and efficiency of Google's cloud infrastructure. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud.
Requirements
- 8 years of experience in software development.
- 5 years of experience with design and architecture, and testing/launching software products.
- 5 years of experience with computer architecture and software architecture.
- Experience in performance/debugging of distributed systems.
- 10 years of experience building and deploying computer systems.
- 8 years of experience with data structures/algorithms.
- Experience with OS kernels and drivers.
Responsibilities
- 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.
- Develop innovative solutions to improve the performance, cost, and efficiency of Google's cloud infrastructure.
- Design, implement, and manage the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud.
- Drive towards shaping the future of hyperscale computing.
- 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.
Other
- Provide technical leadership on projects.
- Influence and coach a distributed team of engineers.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Manage project priorities, deadlines, and deliverables.
- Versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack.
