Minimum qualifications:

• Experience in computer science, data structures, algorithms, and software design.
• Experience in software development in one or more general purpose programming languages.

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Preferred qualifications:

• Excellent implementation skills (e.g., C++, Java, Python).

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About the job

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Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

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Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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Responsibilities

• Analyze performance characteristics and bottlenecks in critical Google data center applications and/or Cloud infrastructure, including GPU-accelerated and AI/ML workloads.
• Evaluate and enable new hardware/software features to benefit Google ARM servers.
• Develop infrastructure and tools to prototype, enable, and tune unique server features for Google.
• Collaborate effectively with cross-functional teams, including hardware engineers, software developers, and architects, to drive performance optimization efforts.
• Communicate findings and recommendations clearly and concisely to technical and non-technical audiences.

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