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Software Engineer​/Researcher, AI-Native database systems

Job in Seattle, King County, Washington, 98127, USA
Listing for: ByteDance
Full Time position
Listed on 2026-07-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Database Engineering
Salary/Wage Range or Industry Benchmark: 148200 - 300960 USD Yearly USD 148200.00 300960.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer / Researcher, AI-Native database systems

Software Engineer / Researcher, AI-Native database systems

Location:

Seattle

Team:
Infrastructure

Employment Type:

Regular

Job Code: A222953A

Responsibilities

Join Byte Dance’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. This role offers the opportunity to enhance these services in a cloud‑native environment, embracing a culture of intellectual curiosity, self‑direction, and problem‑solving.

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 Tik Tok, Cap Cut, and future applications that haven’t been imagined yet.

  • 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.
Qualifications

Minimum Qualifications
  • Bachelor’s, Master’s, or Ph.D. in Computer Science or related fields with strong systems or AI research experience.
  • 2+ years in core database systems, large‑scale distributed infrastructure, or machine learning systems.
  • Strong coding and system‑level design skills in C++, Rust, or Go.
  • Deep expertise in one or more of the following areas: storage engine architecture (LSM‑trees, column stores, HTAP systems); vector retrieval systems, similarity search, and ANN indexing; AI infra or model‑serving infrastructure (especially for embeddings, RAG, LLMs); semantic search, agent systems, or AI‑native memory frameworks.
  • Ability to collaborate across research, engineering, and product teams to translate ideas into production systems.
Preferred Qualifications
  • Experience with open‑source systems such as Faiss, Milvus, DuckDB, Click House, TiKV, or RocksDB.
  • Publications at accredited conferences (e.g., SIGMOD, VLDB, NeurIPS, MLSys, ICDE).
  • Familiarity with GCP, AWS, or Azure’s database and AI integration strategies.
  • Prior contributions to RAG, memory‑augmented models, or self‑tuning database components.
Job Information

Base salary range: $148,200 - $300,960 annually.

Benefits
  • Day‑one access to medical, dental, and vision insurance.
  • 401(k) savings plan with company match.
  • Paid parental leave.
  • Short‑term and long‑term disability coverage.
  • Life insurance and wellbeing benefits.
  • 10 paid holidays per year.
  • 10 paid sick days per year.
  • 17 days of paid personal time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefit programs at any time, with or without notice.

Legal Considerations – Los Angeles County

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

  • Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  • Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
  • Exercising sound judgment.
  • Reasonable Accommodation

    Byte Dance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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