Senior Software Engineer, Vector Index Research

What you'll do

• Research, evaluate, and implement vector indexing and retrieval algorithms; turn prototypes into production systems.
• Optimize and benchmark retrieval performance across latency, throughput, recall, memory use, index build time, and cost.
• Debug performance issues involving algorithms, CPU/GPU execution, SIMD, memory, concurrency, and I/O.

What they ask for

• 3+ years of experience in vector search, ANN algorithms, search systems, high-performance computing, or performance-critical systems.
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• Strong C++ or Rust programming ability and solid engineering fundamentals.

Nice to have

• Experience with vector similarity search, ANN algorithms, index structures, quantization, compression, reranking, or high-performance retrieval systems.
• Experience with performance optimization and systematic debugging, especially around CPU/GPU execution, SIMD, memory layout, concurrency, I/O, or large-scale data processing.

Pay

USD 175,000–250,000 per-year-salary (base salary)

Tools

C++, Rust, SIMD, CPU, GPU, Milvus, Zilliz Cloud, Vector Lakebase

AI focus

Uses AI tools across research and engineering, including paper analysis, prototyping, coding, testing, benchmarking, documentation, and performance analysis.