Software Engineer, PhD, Early Career, Campus, Machine Learning, Systems and Cloud AI, 2025 start

Google Cloud is seeking PhD Software Engineers to join their Machine Learning, Systems and Cloud AI (MSCA) team, developing next-generation technologies that impact billions of users. This role offers an opportunity to work on cutting-edge AI/ML solutions and capabilities, leveraging Google's extensive infrastructure and frameworks.

As a PhD Software Engineer, you'll be part of an organization that delivers category-defining AI/ML solutions supporting customers worldwide. The position involves working on critical projects within MSCA, with flexibility to switch teams based on interests and growth opportunities. You'll be applying your research expertise to real-world problems that scale to billions of users, collaborating with thousands of other PhDs who bring their deep knowledge to enhance Google's systems and products.

The role combines advanced machine learning development with large-scale distributed computing challenges. You'll be working with state-of-the-art AI technology, custom ML hardware infrastructure, and contributing to Google Cloud's mission of accelerating digital transformation across industries. The position offers competitive compensation ($141,000-$202,000 + bonus + equity + benefits) and the opportunity to work in prime tech hubs (Kirkland, Seattle, or Sunnyvale).

Key aspects of the role include leading technical projects, developing advanced ML systems, diagnosing complex technical issues, and ensuring best practices in code development. You'll be at the forefront of innovation in AI/ML, working with teams that have decades of experience in designing and deploying machine learning solutions at massive scale.

This is an ideal opportunity for PhD graduates looking to apply their research expertise to impactful real-world applications, working with cutting-edge technology in a collaborative environment that values innovation and technical excellence. The role offers significant growth potential and the chance to shape the future of AI and cloud computing technologies.