Join a dynamic team shaping the future of data storage at Google. This PhD-level Software Engineer role offers a unique opportunity to drive research and development for Persistent Disk, impacting billions of users worldwide.

As part of the AI and Infrastructure (AI2) organization, you'll work on cutting-edge AI/ML, networking, data storage, and distributed systems projects. Contribute to critical Google services and Google Cloud products, pushing the boundaries of hyperscale computing.

This position is ideal for ambitious researchers eager to solve complex, real-world problems at an unprecedented scale. Embrace leadership opportunities and tackle full-stack challenges in a fast-paced environment.

Lead pioneering research into next-generation storage architectures and prototype advanced backup and replication algorithms.

Enhance the reliability, scalability, and performance of existing backup and replication solutions, ensuring timely and healthy release cycles.

Collaborate closely with internal teams and external partners to transform sophisticated engineering and research endeavors into improved customer satisfaction and measurable business growth.

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

Demonstrated experience in research and development of data storage, backup, or disaster recovery technologies.

Proven ability to conduct storage systems research, including the publication of findings.

Experience in the architecture or development of distributed systems, encompassing concurrency, multi-threading, and synchronization.

Proficiency in coding with languages such as C, C++, Python, Java, or Golang.