- Google is one of the world’s leading suppliers and consumers of ML and AI technology, with decades of experience in designing, deploying, and using ML software and custom ML hardware infrastructure at massive scale.
- Individual 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.
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).
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.
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.
