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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; Mountain View, CA, USA; New York, NY, USA; Raleigh, NC, USA; Durham, NC, USA; San Bruno, CA, USA; Seattle, WA, USA.
Minimum qualifications: - PhD degree in Computer Science, a related field, or equivalent practical experience.
- Experience coding in one of the following programming languages including but not limited to: C, C , Python Java or Golang.
- Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization.
Preferred qualifications: - Research experience in algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking, or systems.
- Experience in designing and implementing a complex system, for production or experimental use.
- Experience with performance, reliability, systems data analysis, visualization tools, or debugging.
- Experience coding in Rust.
- Availability to start in a full-time role in 2027.
About the jobIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Participate in or lead team projects to carry out design, analysis, and development of advanced systems across the stack, using your research expertise.
- Write documents that set new technical directions. Contribute to existing documentation or educational content, and adapt content based on product/program updates and user feedback.
- Study, diagnose and resolve complex technical issues by analyzing the sources of the issues and the impact on software, hardware, network, or service operations and quality.
- Develop code, review code developed by other developers, and provide feedback to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency).
