Job Url: https://www.remoterocketship.com/company/lancedb/jobs/senior-software-engineer-vector-indexing-united-states-remote/ Job Description: LanceDB Website LinkedIn All Job Openings LanceDB is the first open-source AI-Native Multimodal Lakehouse designed to handle complex AI data needs on a large scale. It offers a unified solution for multimodal data, integrating storage, search, feature engineering, and analytics into a single platform. This enables users to efficiently manage diverse data types and workflows, facilitating rapid iteration and deployment of AI models. With advanced capabilities such as hybrid search and optimized training pipelines, LanceDB is built for enterprises seeking to leverage their data effectively in AI applications. 11 - 50 employees Founded 2022 πŸ€– Artificial Intelligence 🏒 Enterprise ☁️ SaaS Senior Software Engineer, Vector Indexing 18 hours ago πŸ‡ΊπŸ‡Έ United States – Remote πŸ’΅ $180k - $235k / year ⏰ Full Time 🟠 Senior πŸ§‘β€πŸ’» Full-stack Engineer Rust Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Designing, building, and maintaining core vector indexing and search components β€’ Implementing GPU-accelerated indexing algorithms and performance optimizations β€’ Maintaining and evolving vector index algorithms, including pruning, quantization, and graph-based methods β€’ Developing and optimizing full-text search capabilities and integrations β€’ Benchmarking, profiling, and tuning performance across varied workloads β€’ Writing and maintaining documentation, benchmarks, tutorials, and blog posts to support and grow adoption β€’ Engaging with the open-source community: reviewing contributions, triaging issues, and joining design discussions 🎯 Requirements β€’ Strong proficiency in Rust β€’ Experience designing or implementing vector search or indexing algorithms (e.g., HNSW, IVF, PQ, quantization, clustering) β€’ Proficiency in C for GPU-related development β€’ Familiarity with GPU acceleration frameworks (CUDA, ROCm, etc.) β€’ Demonstrated ability to benchmark, profile, and optimize system performance β€’ Excellent written communication and documentation skills β€’ Comfortable collaborating in open-source environments πŸ–οΈ Benefits β€’ Competitive compensation, equity, and benefits β€’ Generous learning budget and support for open-source contributions β€’ Medical, dental, vision, and life insurance β€’ 401(k) retirement plan β€’ Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) β€’ Commuter benefits β€’ Generous paid time off