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Software Engineer PhD Early Career

Google

Bengaluru, Karnataka, IndiaOn Site

Original Job Summary

About the Job

Google Cloud's Software Engineer PhD Early Career role is crafted for innovative minds who are ready to transform how billions interact with technology. You will work on projects vital to Google Cloud’s growth, moving flexibly across teams and initiatives. With research expertise, you will contribute to developing advanced technologies in AI, ML, distributed systems, and large-scale system designs.

Responsibilities

You will:

  • Write product or system development code.
  • Participate or lead design reviews with peers and stakeholders.
  • Review peer code ensuring best practices in style, efficiency, and testability.
  • Update documentation and educational content as products evolve.
  • Triage and debug product/system issues affecting hardware, network, or services.
  • Collaborate on team projects, applying your research expertise.
  • Analyze and resolve complex technical system issues.

Minimum Qualifications

  • PhD in Computer Science, related technical field, or equivalent experience.
  • Proficiency in programming languages such as C, C++, Java, or Python.
  • Experience in developing distributed systems, concurrency, multi-threading, or synchronization.

Preferred Qualifications

  • Familiarity with performance, reliability, and systems data analysis tools.
  • Experience with Unix/Linux, Kernel development, microcontrollers, and hardware/software integration.
  • Background in AI, ML, algorithms, and database systems.

Key skills/competency

  • Distributed Systems
  • PhD Research
  • AI
  • Machine Learning
  • Coding
  • Concurrency
  • Debugging
  • System Design
  • Data Analysis
  • Cloud Computing

How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize your resume: Tailor achievements to distributed system projects.
  • Highlight your research: Emphasize PhD and technical publications.
  • Network with Google employees: Use LinkedIn and industry events.
  • Prepare for technical interviews: Practice coding and system design problems.
  • Understand Google Cloud: Study Google Cloud services and innovations.

📝 Interview Preparation Advice

Technical Preparation

Review data structure algorithms.
Practice coding in C, C++, Java, Python.
Study distributed system architecture principles.
Prepare debugging and optimization exercises.

Behavioral Questions

Describe a challenging project and resolution.
Explain teamwork in high pressure situations.
Describe taking ownership in project tasks.
Share how you adapt to feedback.