Join Google as a Software Engineer and contribute to shaping the future of technology for billions. This role offers a unique opportunity to work on cutting-edge projects, from massive-scale distributed systems to advanced AI and machine learning.

As a Software Engineer at Google, you will be instrumental in developing and deploying next-generation technologies that redefine how users interact with information. You'll have the chance to collaborate on diverse projects, fostering versatility and leadership qualities as you tackle complex challenges across the full technology stack.

This position is ideal for individuals with specialized research expertise, particularly those holding a PhD, who are eager to apply their knowledge to solve intricate, real-world problems on an unprecedented scale. The role is designed for individuals ready to commence full-time employment in 2026.

Define and lead the technical direction for next-generation distributed systems, ensuring scalability, reliability, and high performance.

Apply specialized research expertise to design, analyze, and develop complex systems throughout the entire software stack.

Investigate and resolve technical issues by performing thorough root cause analysis and impact assessments.

Write and review code rigorously, upholding best practices for style, accuracy, testability, and efficiency.

A PhD degree in Computer Science, Electrical Engineering, or a related technical field is required.

Demonstrated experience in software development, with a strong focus on large-scale distributed systems, AI/ML, networking, data storage, or security.

Proficiency in the architecture and development of distributed systems, including expertise in concurrency, multi-threading, and synchronization.

Solid understanding of algorithms, complexity analysis, and system design principles.

Experience coding in at least one of the following languages: C, C++, Python, Java, or Golang.

In-person interviews are typically required as part of the hiring process. Preferred qualifications include experience in areas like AI, compilers, databases, data mining, machine learning, and performance analysis, alongside a proven track record of publishing in prestigious conferences or journals. Availability to start in 2026 is essential.