Software Development Engineer Intern (Metadata Storage) - 2026 Start (PhD)

Descripción del puesto:

About the Team The Foundational Technology team is at the core of ByteDance's global infrastructure, delivering high-availability, performant software components and foundational services. We focus on low-level storage and network domains, with ongoing projects including the development of in-house metadata storage engines for ByteDance's ultrascale Kubernetes clusters. As an international team, we thrive on innovation and collaboration, working with both technical infrastructure teams (compute, storage, databases) and upper-layer business units (advertising, payments, AI) to solve critical system challenges. We are looking for talented individuals to join us for an internship in 2026. PhD Internships at ByteDance aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Responsibilities As an intern on our team, you will: - Assist in designing and developing ultra-performance metadata services, including distributed coordination, locking, key-value storage, and service discovery features. - Support the creation of automated and disaster-tolerance deployment solutions for virtualized and bare-metal environments. - Analyze service performance metrics, generate insights, and propose data-driven improvements to enhance reliability and efficiency. - Participate in technical discussions and documentation efforts, ensuring alignment with team standards and best practices

Requerimientos del candidato/a:

Minimum Qualifications - Currently pursuing a PhD degree in Computer Science or related fields in Computer Science, Electrical Engineering, or a related technical field. - Strong programming skills in C++ or Go in Linux environments, with experience in writing clean, maintainable and testable code. - Have a solid understanding of CS Fundamentals: basic data structures (lists, queues, stacks, trees, graphs, hash tables) and algorithms (binary search, quick sort, divide and conquer, backtracking), operating system (processes, threads, mutexes, semaphores, deadlock, paging, segmentation, file system), network (OSI models, TCP/UDP, IP addressing, HTTP, DNS). - Have a basic understanding of distributed systems (e.g. CAP theorem), databases (e.g. relational vs nosql, transaction, isolation levels), and storage systems (e.g. replication, erasure encoding). Preferred Qualifications: - Familiarity with advanced data structures (LSM trees, B+ trees) and algorithms (Paxos, Raft). *Online courses and books such as MIT 6.824 Distributed Systems and Designing Data-Intensive Applications (DDIA) are good study resources for those topics. - Hands-on or research experience with distributed systems such as HDFS, Colossus, Spanner, Chubby, ZooKeeper, etcd. - Familiarity with linux system programming (epoll, io uring) and high performance networking (RDMA, DPDK) By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy