Software Engineer, Cloud GPU, PhD, Early Careers, 2026

Minimum qualifications:

• PhD degree in Computer Science or related technical fields, or equivalent practical experience.
• Experience in machine learning or artificial intelligence.
• Experience coding in one of the following programming languages including but not limited to: Python, C, C++, Java, JavaScript, or Golang.

Preferred qualifications:

• Experience with data structures and algorithms.
• Experience with cloud infrastructure.
• Research experience in designing, developing, or applying ML/AI systems or applications in a large-scale distributed environment.
• Experience designing, training, or refining complex ML/AI models.
• Availability to start full-time role in 2026.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.

The Cloud GPU team is central to AI innovation, dedicated to building and maintaining an industry-leading GPU fleet and AI platform. Our core mission is to empower Google Cloud's sophisticated training and inference customers by providing unparalleled computational resources. We are responsible for the entire lifecycle of GPU offerings within Google Cloud, from the initial launch of new GPU families to ensuring their optimal reliability and operational excellence for AI workloads.

The team grows at the intersection of hardware, software, data science, and applied AI, constantly pushing the boundaries of what is possible in accelerated computing.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Write product or system development code.
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.