PhD Software Engineer, Infrastructure - Distributed Systems

Google; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Bonus target 15%

Benefits

Job summary

Google is seeking a PhD Software Engineer to contribute to next-generation distributed systems and large-scale infrastructure. You will work across teams on critical projects that shape information processing at massive scale, with opportunities to lead and switch projects as Google grows.

Applicants should bring deep research experience in algorithms, AI, databases, and systems, plus strong coding in C/C++, Python, Java, or Golang.

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.

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).

Skills

C/C++

Python

Java

Distributed systems

Golang

Education

PhD in Computer Science

Job description

Google is seeking a PhD Software Engineer to contribute to next-generation distributed systems and large-scale infrastructure. You will work across teams on critical projects that shape information processing at massive scale, with opportunities to lead and switch projects as Google grows.

Applicants should bring deep research experience in algorithms, AI, databases, and systems, plus strong coding in C/C++, Python, Java, or Golang.