Your responsibilities, Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies., Develop, test, integrate, and release these solutions., Advocate your ideas to others when cooperation and coordination is required., Code in C++ or Golang or Java.

Experience with software design., Experience in computer science, data structures and algorithms., Experience with coding.

Optional, Currently enrolled in or graduated from a PhD program., Experience in concurrency, multithreading and synchronization.

Benefits, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, remote work opportunities, fruits, corporate products and services at discounted prices, integration events, dental care, corporate gym, corporate sports team, retirement pension plan, saving & investment scheme, corporate library, no dress code, coffee / tea, drinks, parking space for employees, leisure zone, extra social benefits, meal passes, redeployment package, employee referral program, opportunity to obtain permits and licenses, charity initiatives, extra leave

About the project

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.

The Compute Infrastructure and Spatial Flexibility team focuses on resource management and workload orchestration across the entire Google fleet. Our open PhD opportunities fall into a few main categories: optimizing infrastructure efficiency and reliability, advancing capabilities for large-scale Machine Learning (ML) and confidential computing, and strategic global capacity planning. A successful engineer for these roles would have a background in distributed systems, familiarity with scheduling and orchestration systems such as Kubernetes (k8s), and an interest in optimization and efficiency of the whole fleet all the way down to the node.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.

About the project

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.

The Compute Infrastructure and Spatial Flexibility team focuses on resource management and workload orchestration across the entire Google fleet. Our open PhD opportunities fall into a few main categories: optimizing infrastructure efficiency and reliability, advancing capabilities for large-scale Machine Learning (ML) and confidential computing, and strategic global capacity planning. A successful engineer for these roles would have a background in distributed systems, familiarity with scheduling and orchestration systems such as Kubernetes (k8s), and an interest in optimization and efficiency of the whole fleet all the way down to the node.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.

Your responsibilities

• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Develop, test, integrate, and release these solutions.
• Advocate your ideas to others when cooperation and coordination is required.
• Code in C++ or Golang or Java.

About the project

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.

The Compute Infrastructure and Spatial Flexibility team focuses on resource management and workload orchestration across the entire Google fleet. Our open PhD opportunities fall into a few main categories: optimizing infrastructure efficiency and reliability, advancing capabilities for large-scale Machine Learning (ML) and confidential computing, and strategic global capacity planning. A successful engineer for these roles would have a background in distributed systems, familiarity with scheduling and orchestration systems such as Kubernetes (k8s), and an interest in optimization and efficiency of the whole fleet all the way down to the node.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.