Google Cloud is seeking PhD Software Engineers for their Machine Learning, Systems, and Cloud AI (MSCA) organization. This role combines advanced research expertise with practical engineering to solve real-world problems at massive scale. The position involves working on critical projects in Google Cloud's evolving infrastructure, with opportunities to impact products used by billions of users worldwide.
The role is part of Google Cloud's MSCA organization, which creates cutting-edge AI/ML capabilities built on Google's frameworks, infrastructure, and services. Engineers will work on designing and managing software, hardware, and ML systems infrastructure that power major Google services like Search and YouTube, as well as Google Cloud products.
As a PhD Software Engineer, you'll join a strong community of thousands of PhDs at Google, where your academic background will be valued in solving complex technical challenges. The work involves distributed systems, AI/ML, and innovative infrastructure projects. You'll have the flexibility to move between teams and initiatives as both you and the business grow.
The position emphasizes security, efficiency, and reliability in all aspects, from TPU development to operating one of the world's largest networks. You'll be empowered to think like an owner, proactively identifying customer needs and driving innovation. The role requires collaboration with peers and stakeholders, code review, documentation, and complex problem-solving across the technical stack.
This is an excellent opportunity for PhD graduates looking to apply their research expertise in a practical setting while working on technology that impacts billions of users. The position offers the chance to work with cutting-edge technology in areas like AI, distributed systems, and cloud computing, while being part of Google's mission to accelerate digital transformation across industries.