The role
From Google's own posting.
Researchers across Google are working to advance the state of the art in computing and build the next generation of intelligent systems for all Google products. To achieve this, we invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
Explore emerging technologies and systems as an individual contributor in the research and development team.
Participate in team projects to carry out system design, analysis, and building of prototypes to demonstrate advantages and reveal challenges of these technologies for a broad range of applications in the data center and modern Cloud environments, including machine learning.
Create strategies that will lead to innovative projects and follow-on products for the future.
Operate across research and engineering teams in order to influence products or integrate research results into products.
Minimum qualifications:
PhD degree in Computer Science, or a related technical field, or equivalent practical experience.
Experience coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, Python, or Golang.
Research experience in an area of computer systems design and implementation.
Preferred qualifications:
PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Experience in Research areas such as storage systems, memory systems, distributed systems and networks, novel I/O systems, computer architecture and accelerators, databases and analytics, cloud computing, sustainability, privacy, or other emerging technologies.
Experience in authoring/co-authoring of papers in venues in the systems field (e.g., SOSP, OSDI, ISCA, ASPLOS, MICRO, ASPLOS, PLDI, SIGCOMM, NSDI, SIGMOD, etc.).
Experience in systems for Machine Learning (ML).
Experience designing and implementing an experimental system in a research or product development environment.
PhD degree in Computer Science, or a related technical field, or equivalent practical experience.
Experience coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, Python, or Golang.
Research experience in an area of computer systems design and implementation.