PhD Software Engineer, PhD, Early Career, Systems and Infrastructure, 2025 Start, Machine Learning Systems Cloud AI

Google Cloud's Machine Learning, Systems and Cloud AI (MSCA) organization is seeking PhD Software Engineers to join their team developing next-generation AI/ML technologies. This role offers the opportunity to work on critical projects that impact billions of users worldwide, leveraging your research expertise in areas like distributed computing, machine learning, and systems infrastructure.

As a PhD Software Engineer, you'll be part of an organization that delivers category-defining AI/ML solutions and capabilities, developed and powered by Google Services, Frameworks and Infrastructure. The role involves working with cutting-edge technologies in AI, machine learning, and distributed systems, while collaborating with a diverse team of thousands of PhDs who bring their deep knowledge to enhance Google's systems and products.

The position offers the chance to work on specific projects critical to MSCA's needs, with opportunities to switch teams based on your interests. You'll be involved in designing, implementing, and managing hardware, software, machine learning, and systems infrastructure for all Google services and Google Cloud. The organization prioritizes security, efficiency, and reliability across all initiatives, from developing latest TPUs to running global networks.

This is an excellent opportunity for 2025 PhD graduates to apply their research expertise to real-world problems that scale to billions of users. The role offers competitive compensation ($141,000-$202,000 + bonus + equity + benefits) and the chance to work with state-of-the-art technology, including Google Cloud's Vertex AI platform and Gemini models.

The position requires strong technical skills in programming languages like Python, Java, or Go, and experience with distributed systems, concurrency, or multi-threading. You'll be working in locations like Sunnyvale, Kirkland, or Seattle, contributing to Google's mission of developing innovative AI/ML solutions while having opportunities for growth and impact in a dynamic, fast-paced environment.