Google Cloud is seeking a PhD Software Engineer to join their Machine Learning, Systems and Cloud AI (MSCA) team. This role offers a unique opportunity to work at the intersection of embedded systems, firmware design, and cutting-edge AI/ML technologies. As part of Google Cloud's engineering team, you'll be developing next-generation technologies that impact billions of users worldwide.
The position requires a PhD in Computer Science or related field, with expertise in embedded systems and firmware design. You'll be working on critical projects within the MSCA organization, which delivers category-defining AI/ML solutions and capabilities. The role involves leading and collaborating on advanced embedded systems projects, troubleshooting complex technical issues, and ensuring code quality through thorough review processes.
Google Cloud provides a dynamic environment where you can apply your research expertise to real-world problems that scale to billions of users. You'll be joining a community of thousands of PhDs who bring their deep knowledge to enhance Google's systems and products. The organization offers opportunities for growth and project mobility based on your interests and the company's needs.
The compensation package is competitive, ranging from $136,000 to $200,000 base salary, plus bonus, equity, and comprehensive benefits. Multiple locations are available across the United States, including major tech hubs like Sunnyvale, Atlanta, and Seattle. This is an excellent opportunity for PhD graduates looking to make a significant impact in the field of embedded systems while working with cutting-edge AI/ML technology at one of the world's leading tech companies.
The role starts in 2025 and requires proficiency in C/C++ programming, with preferred experience in Unix/Linux environments, kernel development, and various aspects of embedded systems such as microcontrollers, SoC, device drivers, and hardware integration. You'll be part of Google's mission to accelerate digital transformation across industries while working with enterprise-grade solutions that leverage Google's cutting-edge technology.