Google Cloud is seeking PhD Software Engineers to join 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 for Google Cloud's evolving needs, with opportunities to move between teams and initiatives. Engineers will contribute to innovative projects in AI, ML, and distributed systems, working on products used by billions of users.
The role is part of Google Cloud's MSCA organization, which creates cutting-edge AI/ML capabilities built on Google's infrastructure and services. You'll be joining a strong community of thousands of PhDs across Google, where your academic background will be valued in shaping the future of technology. The work involves developing and maintaining systems that power major Google services like Search and YouTube, as well as Google Cloud products.
As a PhD Software Engineer, you'll be responsible for writing production code, participating in design reviews, collaborating with peers, and solving complex technical challenges. The role requires expertise in distributed systems, programming languages like C++, Java, or Python, and a strong foundation in computer science fundamentals. You'll work on projects involving system architecture, performance optimization, reliability engineering, and advanced technical problem-solving.
Google Cloud provides enterprise-grade solutions leveraging cutting-edge technology, serving customers in more than 200 countries. The role offers the opportunity to work on hyperscale computing challenges while contributing to products that transform how billions of users connect and interact with information. The position combines academic research expertise with practical engineering impact, making it ideal for PhD graduates looking to apply their advanced technical knowledge in a dynamic, real-world environment.