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Software Engineer, Early Careers, PhD, Cloud AI

Google develops next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
Cloud
Entry-Level Software Engineer
In-Person
5,000+ Employees
AI · Enterprise SaaS

Description For Software Engineer, Early Careers, PhD, Cloud AI

Google Cloud is seeking a PhD-level Software Engineer to join their Cloud AI team. This role combines cutting-edge AI technology with cloud infrastructure development, offering an opportunity to work on next-generation technologies that impact billions of users. The position involves working on critical search features, Kubernetes-based infrastructure, and advanced GenAI capabilities.

As a Software Engineer at Google Cloud, you'll be part of a team that accelerates organizations' digital transformation across industries. You'll work on implementing search features, managing infrastructure configuration, and solving novel engineering challenges using advanced AI capabilities. The role requires expertise in distributed systems, cloud platforms, and machine learning concepts, particularly around Large Language Models (LLMs).

The ideal candidate should have a PhD in Computer Science or related field, with strong programming skills in languages like Python, C++, Java, or Go. Experience with Kubernetes, cloud platforms, and machine learning is highly valued. You'll have the opportunity to work on projects critical to Google's needs, with the flexibility to switch teams as you grow.

Google offers a collaborative environment where you'll work with cutting-edge technology and contribute to products that handle information at massive scale. The company is committed to diversity and inclusion, providing equal opportunities regardless of background. This role offers the chance to work on challenging technical problems while contributing to Google Cloud's mission of enabling digital transformation across industries.

Last updated 2 days ago

Responsibilities For Software Engineer, Early Careers, PhD, Cloud AI

  • Work on implementation and designs of Search features
  • Work on Kubernetes-based infrastructure configuration, to ensure scalability and performance goals are met
  • Contribute to launch of Search and to work on future post-GA roadmap items
  • Contribute to solving novel engineering challenges requiring use of advanced GenAI capabilities

Requirements For Software Engineer, Early Careers, PhD, Cloud AI

Python
Java
Go
Kubernetes
  • PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
  • Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript)
  • Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work

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