Research Scientist Graduate; Distributed NoSQL Database Systems PhD
Job in
Seattle, King County, Washington, 98113, USA
Listed on 2026-06-02
Listing for:
ByteDance
Full Time
position Listed on 2026-06-02
Job specializations:
-
Software Development
Software Engineer, Backend Developer, Cloud Engineer - Software
Job Description & How to Apply Below
We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-created a future driven by your inspiration with Byte Dance. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
The application limit is applicable to Byte Dance and its affiliates' job globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. About the Team Join Byte Dance's database development team, where you'll build and own cutting-edge database products supporting Bytedance's global infrastructure. Our diverse portfolio includes relational databases, distributed caches, key-value stores, document databases, graph databases, wide-column stores, search engines, and multi-model databases.
In this role, you'll have the opportunity to enhance these services in a cloud-native environment, embracing a culture of intellectual curiosity, self-direction, and problem-solving. Responsibilities - Design and develop distributed No
SQL databases, with a focus on one of the following: distributed caches, key-value stores, document databases, graph databases, wide-column stores, search engines, or multi-model databases.
- Build high-performance, low-latency, and highly available distributed systems to support mission-critical business operations with scalability and cost efficiency.
- Optimize compute and storage engines for cloud-native global deployments, improving efficiency and reducing operational costs.
- Provide technical guidance to internal business teams, identifying opportunities for system optimization to improve stability, functionality, and performance.
- Collaborate with cross-functional teams to develop robust database products and solutions.
- Address technical challenges in cloud service architectures, ensuring scalable solutions for large-scale, high-traffic systems.
Final year or recent graduate with a background in software development, computer science, computer engineering, or related technical discipline.
Minimum Qualifications:
- Ph.D. in Computer Science or related fields with strong database systems or AI research experience.
- Proficiency in one or more programming languages (C, C++, Java, Go, Python, Rust) with strong coding skills in a Linux environment.
- Deep understanding of database principles, distributed system design, and multi-threaded programming, with hands-on experience in distributed storage and computing technologies.
- Strong knowledge of distributed consensus algorithms, with experience in database kernel development.
- Practical experience with large-scale cloud-native architectures and distributed system control platforms.
Preferred Qualifications:
- Publications at top-tier conferences (e.g., SIGMOD, VLDB, NeurIPS, MLSys, ICDE).
- Familiarity with popular database systems and source code such as Rocks
DB, Redis, Mongo
DB, HBase, TiDB, Neo4j, Elasticsearch, Janus Graph, Yugabyte
DB, or Cockroach
DB.
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