Compensation & Benefits

LanceDB is committed to equitable and competitive compensation. Actual compensation is determined based on factors such as skills, experience, location, and the interview process.

In addition to base salary, new hires receive compelling equity grants and access to a comprehensive benefits package including:

• Medical, dental, vision, and life insurance

• 401(k) retirement plan

• Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)

• Commuter benefits

• Generous paid time off

About LanceDB

LanceDB is a developer-friendly, open-source data lake for multimodal AI. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application, and powers some of the most groundbreaking applications and challenging requirements today.

About the Role

We’re looking for a Software Engineer focused on Vector Indexing to help build the next generation of vector-native data infrastructure. You’ll work on high-performance indexing and search systems at the core of LanceDB, enabling scalable similarity search, full-text search, and flexible indexing for the open-source and enterprise communities alike.

You’ll be responsible for:

• Designing, building, and maintaining core vector indexing and search components

• Implementing GPU-accelerated indexing algorithms and performance optimizations

• Maintaining and evolving vector index algorithms, including pruning, quantization, and graph-based methods

• Developing and optimizing full-text search capabilities and integrations

• Benchmarking, profiling, and tuning performance across varied workloads

• Writing and maintaining documentation, benchmarks, tutorials, and blog posts to support and grow adoption

• Engaging with the open-source community: reviewing contributions, triaging issues, and joining design discussions

Requirements

• Strong proficiency in Rust

• Experience designing or implementing vector search or indexing algorithms (e.g., HNSW, IVF, PQ, quantization, clustering)

• Proficiency in C for GPU-related development

• Familiarity with GPU acceleration frameworks (CUDA, ROCm, etc.)

• Demonstrated ability to benchmark, profile, and optimize system performance

• Excellent written communication and documentation skills

• Comfortable collaborating in open-source environments

Nice to Have

• Understanding of full-text search systems (Lucene, Elasticsearch, Tantivy, etc.)

• Experience building or maintaining data systems, databases, or search engines

• Familiarity with distributed systems and scale-out architecture

• Background in web APIs, embedding serving, or real-time systems

• Contributions to or maintenance of open-source projects

What We Offer

• A key role shaping an open-source project with real production usage

• Remote-first team with flexible hours

• Competitive compensation, equity, and benefits

• Generous learning budget and support for open-source contributions

About the LanceDB Team

LanceDB was created by experts with decades of experience building tools for data science and machine learning. From co-authors of pandas to Apache PMC members of HDFS, Arrow, and Delta, the LanceDB team has created open-source tools used by millions worldwide.

Compensation Range: $180K - $235K