Software Engineer, PhD, Early Career Campus, Machine Learning, Systems and Cloud AI, GPU Performance, 2025 Start

Google Cloud is seeking PhD Software Engineers to join their Machine Learning, Systems and Cloud AI (MSCA) team, focusing on GPU performance and machine learning infrastructure. This role offers an opportunity to work on cutting-edge AI/ML solutions that impact billions of users worldwide. As part of the team, you'll develop next-generation technologies in distributed computing, large-scale system design, and artificial intelligence.

The position specifically focuses on GPU infrastructure, which is crucial to Google's machine learning capabilities alongside their TPU technology. You'll work on transformative solutions that shape the future of AI and accelerated computing, optimizing performance for ML models and influencing next-generation GPU architectures.

The role combines research expertise with practical engineering, requiring skills in areas such as compilers, GPU programming, machine learning architecture, and performance optimization. You'll be part of an organization that includes thousands of PhDs, bringing deep knowledge to enhance Google's systems and products.

Working at Google Cloud means joining a team that accelerates digital transformation across industries, delivering enterprise-grade solutions leveraging Google's cutting-edge technology. The position offers competitive compensation, including base salary, bonus, equity, and comprehensive benefits.

This is an excellent opportunity for PhD graduates to apply their research expertise to real-world problems at scale, collaborating with talented teams and contributing to products that are changing the world. The role offers flexibility to switch teams based on interests and growth opportunities within the fast-paced environment of Google's AI and cloud infrastructure.