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 the opportunity to work on cutting-edge AI/ML solutions that impact billions of users worldwide. The position combines research expertise with practical engineering, working on GPU optimization, machine learning architectures, and performance enhancement.

As part of the MSCA organization, you'll be developing category-defining AI/ML solutions powered by Google's services, frameworks, and infrastructure. The role involves working with GPU technology, which is crucial to Google's machine learning infrastructure, alongside their pioneering work with TPUs. You'll have the chance to architect transformative solutions that shape the future of AI and accelerated computing.

The position offers competitive compensation including base salary, bonus, equity, and comprehensive benefits. You'll work in a collaborative environment with thousands of PhDs, applying research expertise to real-world problems at scale. The role provides opportunities for growth and movement between teams based on your interests and the organization's needs.

Key focus areas include GPU programming, machine learning architecture, performance optimization, and systems development. You'll be working with state-of-the-art technology in distributed computing, large-scale system design, and artificial intelligence. The position requires strong programming skills and research background, with opportunities to influence next-generation GPU architectures and ML infrastructure.

Google Cloud accelerates digital transformation across industries, delivering enterprise-grade solutions leveraging cutting-edge technology. This role offers the chance to be at the forefront of AI innovation, working on projects that impact organizations across 200+ countries.