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. You'll work on critical projects for Google Cloud's evolving needs, with opportunities to impact products used by billions of users worldwide.
The position involves developing next-generation technologies across areas like distributed computing, system design, networking, security, and AI. You'll be part of a strong community of thousands of PhDs at Google, working on innovative projects that shape the future of technology. The role specifically focuses on Google Cloud's infrastructure and services that power products like Search and YouTube.
As a PhD Software Engineer, you'll collaborate with teams to design and implement solutions, lead technical discussions, review code, and tackle complex system issues. The role requires expertise in programming languages like C++, Java, or Python, and experience with distributed systems, concurrency, or multi-threading. You'll work in a dynamic environment that values leadership, innovation, and technical depth.
The position offers the opportunity to work on cutting-edge technology while solving challenging technical problems. You'll be empowered to think like an owner, proactively identifying customer needs and driving innovation. The role combines academic research background with practical engineering to create impactful solutions for Google Cloud's enterprise-grade products and services.
This is an early career position ideal for PhD graduates looking to apply their research expertise in a practical setting while working on some of the world's largest-scale computing systems. The role offers the chance to work with cutting-edge technology while being part of Google's mission to organize the world's information and make it universally accessible and useful.