Minimum qualifications:
- PhD degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
- Experience applying mathematical techniques to solve large-scale, intractable problems.
- Experience conducting advanced research in Computer Science, Applied Mathematics, or relevant experience.

Preferred qualifications:
- PhD in Statistics, Applied Mathematics, Operation Research, or a related field.
- Experience with mathematical optimization (e.g., LP, IP, MIP, NLP).
- Understanding of private and public cloud design considerations and limitations in the areas of virtualization and global infrastructure, distributed systems, load balancing and networking.

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 recent problems across the full-stack as we continue to push technology forward.

As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.

Within Google Cloud, the AI and Infrastructure (AI2) organization is at the forefront of creating AI/ML capabilities. We are responsible for designing and managing the software, hardware, and Machine Learning (ML) systems infrast

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