Google Cloud is seeking PhD Software Engineers to join their Machine Learning, Systems, and Cloud AI (MSCA) organization. This role combines academic research expertise with practical engineering to solve real-world problems at massive scale. The position involves working on critical projects for Google Cloud's evolving needs, with opportunities to move between teams and initiatives.
As a Software Engineer in this role, you'll be working on innovative projects in areas such as AI, ML, and distributed systems, contributing to products used by billions of users. You'll be part of a strong community of thousands of PhDs across Google, where your academic background will be valued in shaping the future of technology.
The role is within the MSCA organization, which creates category-defining AI/ML capabilities built on Google's frameworks, infrastructure, and services. This team designs and manages the software, hardware, and ML systems infrastructure powering major Google services like Search and YouTube, as well as Google Cloud products.
Key aspects of the role include writing system development code, participating in design reviews, reviewing other developers' code, contributing to documentation, and resolving complex technical issues. You'll be empowered to think like an owner, proactively identifying customer needs and driving innovation.
The position offers the opportunity to work with cutting-edge technologies in areas such as distributed computing, large-scale system design, networking, data storage, security, AI, and natural language processing. Google Cloud prioritizes security, efficiency, and reliability in all aspects, from developing TPUs to operating one of the world's largest networks.