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 engin... more details
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.
The Systems Research Group (SRG) is positioned in the heart of Google’s Cloud and Infrastructure engineering organization, with the mission of shaping the future of hyperscaler systems design for Google and its ecosystem. In this role, you will focus on inventing, incubating, and infusing new concepts, designs, and technologies into Google’s applications, systems, and data centers. You will collaborate with engineering and product teams, and with external research communities working on the most pressing systems-research problems.
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.
The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about
benefits at Google.
- Participate in team projects to carry out system design, analysis, and building of prototypes.
- Demonstrate advantages and reveal issues of technologies for a broad range of applications in the data center and modern Cloud environments, including machine learning.
- Contribute to research and development exploring emerging technologies and systems.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred qualifications:
- PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Experience with storage systems, memory systems, network systems, novel I/O systems, or platform architectures including persistent memory (NVRAM), accelerators, and other emerging technologies.
- Experience with intersection of Machine Learning (ML) and computer systems (e.g., ML for systems or systems for ML).
- Author/Co-author of well-known and respected papers (e.g., based on impact or citations) in the top venues in the systems field (e.g., SOSP, OSDI, ISCA, MICRO, ASPLOS, EUROSYS, PLDI, SIGCOMM, NSDI, etc.).
