Software Engineer, Systems Research, PhD, Early Career
Job Summary
Job Description
- PhD in Computer Science or related field
- Coding experience (C, C++, Java, JavaScript, Python, or Golang)
- Research experience in computer systems design and implementation
- System design, analysis, and prototyping
- Experience in storage, memory, distributed systems, computer architecture, databases, cloud computing, ML systems
- Publications in systems conferences (SOSP, OSDI, etc.)
- Experience designing and implementing experimental systems
8 skills required
Job Details
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.
About the job
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 ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 .
Responsibilities
- 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.
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