Software Engineer, Persistent Disk, PhD, Early Career, 2026

About the job:
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.

Responsibilities:
Drive research initiatives to explore next-generation storage architectures, prototype novel backup/replication algorithms, and evaluate emerging technologies.
Improve the reliability, scale, and performance of backup and replication solutions while maintaining healthy release cycles.
Work closely with partners and internal stakeholders to translate complex engineering and research efforts into enhanced customer satisfaction and tangible business growth.

Minimum qualifications:
PhD degree in Computer Science, Electrical Engineering, or a related technical field.
Experience with research and development of data storage, backup, or disaster recovery technologies.
Experience conducting research on storage systems, including publishing findings.
Experience in architecture or development of distributed systems, including concurrency, multi-threading, or synchronization.
Experience coding in one of the following programming languages including but not limited to: C, C++, Python Java or Golang.

Preferred qualifications:
Experience with data management tools and technologies including data pipelines frameworks, database engines, and file and object stores.
Experience contributing to research communities including publishing at conferences (e.g., CVPR, NeurIPS, ICCV/ECCV, BMVC).
Expertise in designing and implementing complex systems for either production or experimental use.
Proficiency in performance analysis or the analysis of systems data.
Excellent engineering capabilities.
Availability to commence a full-time position in 2026.