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Software Engineer, Cloud AI, Early Career

A global technology company that develops innovative solutions in search, cloud computing, software, and AI.
Machine Learning
Entry-Level Software Engineer
In-Person
5,000+ Employees
AI · Cloud · Enterprise SaaS
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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 requires expertise in software development, particularly in languages like Python, C++, Go, and Java, with a strong foundation in data structures and algorithms. You'll be contributing to Google Cloud's Vertex AI platform and working with cutting-edge technologies including Large Language Models. The position offers opportunities to work on distributed systems, machine learning applications, and cloud platforms while being part of a versatile team that shapes the future of hyperscale computing. This role combines software engineering fundamentals with AI/ML expertise, making it ideal for candidates with a PhD in Computer Science or related fields who are passionate about developing scalable, innovative solutions in cloud computing and artificial intelligence.

Last updated 19 days 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
Go
Java
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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