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, USA
About LanceDB AI advances at the speed of its research, and research moves at the speed of its data. LanceDB is the AI-native Multimodal Lakehouse: one system where a researcher curates petabytes of video, audio, and eve
, USA
About LanceDB AI advances at the speed of its research, and research moves at the speed of its data. LanceDB is the AI-native Multimodal Lakehouse: one system where a researcher curates petabytes of video, audio, and eve
, USA
, USA
, USA
San Francisco, USA
, USA
, USA
, USA
, USA
Prior experience supporting or operating large-scale open-source database deployments (e.g., vector search systems, NoSQL databases, distributed SQL, lakehouse/feature-store architectures).
Familiarity with storage engine internals, indexing/data layout, performance tuning, and profiling tools.
Contributions to open-source projects (especially Rust/Python), or experience writing diagnostic tools, debuggers, or instrumentation.
Experience deploying and monitoring systems in large-scale production environments: logging/observability (e.g., Prometheus, Grafana, OpenTelemetry), alerting, SLOs/SLAs.
Comfortable working in a fast-moving startup environment with high autonomy and evolving responsibilities.
You’ll join a world-class team of open-source builders (co-authors of pandas, and contributors to HDFS, Arrow, Iceberg, and HBase) working on cutting-edge AI infrastructure. You’ll collaborate on systems that power next-generation AI workloads while shaping how LanceDB operates and scales production environments.
AI-native data-platform company serving AI teams with multimodal storage, search, curation, feature engineering, and model-training infrastructure.
Visit company websiteJobs and hiring trendsUSD 180000-250000 yearly / year
Full-time
Senior · 8+ years experience
Remote
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