Job Description

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 ByteDance.

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 ByteDance and its affiliates' job globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

About the Team
Join ByteDance’s database R&D 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.

About the Role
We are building the next-generation AI-native database systems—intelligent, multimodal, and designed for the era of large models. Our systems are not just data stores; they’re reasoning engines, retrieval platforms, and real-time memory for AI agents. As a Senior Software Engineer or Researcher, you will be at the forefront of rethinking how databases work when built from the ground up for AI workloads. You’ll help create infrastructure that powers intelligent systems across TikTok, CapCut, and future applications that haven’t been imagined yet.

Responsibilities
- Architect and implement AI-native databases that seamlessly integrate structured, unstructured, and vectorized data.
- Design storage engines optimized for embedding ingestion, multimodal retrieval, and real-time AI interaction.
- Build scalable and distributed vector search systems with low-latency guarantees.
- Develop AI-augmented query processors that leverage large language models (LLMs) for semantic parsing, intent understanding, and cost estimation.
- Collaborate on developing retrieval-augmented generation (RAG) infrastructure and LLM agent memory backends.
- Drive innovations in learned index structures, self-optimizing databases, and AI-integrated transaction systems.
- Publish and contribute to broader research and open-source communities.

The base salary range for this position in the selected city is $136800 - $259200 annually.