Software Engineer III, Infrastructure, Google Cloud AI

Google Cloud AI is seeking a Software Engineer III to join their Infrastructure team, focusing on developing next-generation technologies that power Google's massive-scale services and cloud platform. This role is part of the ML, Systems, & Cloud AI (MSCA) organization, which is responsible for the hardware, software, and infrastructure that powers Google's services and Google Cloud.

The position requires strong expertise in C++ programming, distributed systems, and large-scale infrastructure development. You'll be working on critical projects that support Google's core services and Cloud AI initiatives, including work on systems that support products like Vertex AI and Gemini models for enterprise customers.

As a Software Engineer III, you'll be responsible for designing, developing, and maintaining software solutions that operate at Google scale. The role involves collaborating with teams across Google to build robust infrastructure systems, participating in technical design reviews, and ensuring code quality through peer reviews and best practices implementation.

The position offers competitive compensation with a base salary range of $141,000-$202,000, plus bonus, equity, and comprehensive benefits. You'll be working from either Sunnyvale, CA or Kirkland, WA, joining a team that's at the forefront of AI infrastructure development.

This is an excellent opportunity for engineers who are passionate about large-scale systems, distributed computing, and AI infrastructure. You'll be working with cutting-edge technology while contributing to systems that impact billions of users and enterprise customers worldwide. The role offers significant growth potential and the chance to work on challenging technical problems at unprecedented scale.

Google provides a collaborative environment with opportunities to work with some of the best engineers in the industry. You'll have access to Google's vast technical resources and be part of a team that values innovation, technical excellence, and inclusive culture. The position offers the chance to shape the future of AI infrastructure while working on projects that have global impact.