Senior Software Engineer​/Researcher, AI-Native database systems

Senior Software Engineer / Researcher, AI-Native database systems

Location:

Seattle

Team:
Infrastructure

Employment Type:

Regular

Job Code: A155897

• 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.

• Minimum Qualification:
  
  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 / 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.

• Experience with open-source systems such as Faiss, Milvus, DuckDB, Click House, TiKV, Rocks
  
  DB.
• Publications at top-tier 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.

The base salary range for this position in the selected city is $177,688 - $341,734 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

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

Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.

Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create…