Software Engineer, Cloud AI, Early Career

A global technology company that develops AI, search, cloud computing, software and online advertising technologies.
Machine Learning
Entry-Level Software Engineer
In-Person
5,000+ Employees
AI · Enterprise SaaS · Cloud

Description For Software Engineer, Cloud AI, Early Career

Google is seeking an Early Career Software Engineer to join their Cloud AI team, focusing on developing next-generation technologies that impact billions of users. As part of the ML, Systems, & Cloud AI (MSCA) organization, you'll work on critical projects involving search features, Kubernetes infrastructure, and advanced GenAI capabilities. The role combines software engineering with machine learning, offering the opportunity to work on Google Cloud's Vertex AI platform and contribute to hyperscale computing solutions. You'll be part of a team that designs, implements, and manages infrastructure for all Google services and Cloud customers, with a focus on security, efficiency, and reliability. This position requires strong programming skills, understanding of distributed systems, and familiarity with machine learning concepts. The role offers the chance to work on cutting-edge AI technologies while contributing to Google's global impact across software and hardware domains.

Last updated 33 minutes ago

Responsibilities For Software Engineer, Cloud AI, Early Career

  • 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, Cloud AI, Early Career

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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