Open Source Engineer

Job not on LinkedIn

🕒 October 25, 2025

🇺🇸 United States – Remote

💵 $180k - $235k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 62%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LanceDB

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

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.

📋 Description

• Driving open-source community efforts to integrate the Lance format with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems • Designing and maintaining efficient distributed Lance dataset operations • Building efficient indices to enable predicate pushdown and accelerate queries in Spark, Ray, or Trino • Working on table formats, data encodings, and various aspects of the Lance format in Rust • Operating and improving internal data processing infrastructure • Promoting the Lance format in open-source communities and at Big Data conferences

🎯 Requirements

• 5+ years of experience building high-performance databases, big data systems, or large-scale data services • Deep understanding of internals of open-source Big Data or AI training systems (e.g., Hadoop, Spark, Flink, Ray, Iceberg, Delta Lake, Hudi, ClickHouse, Trino, Presto, PyTorch, or JAX) • Strong experience with high-performance computing in Java or Scala • Experience with Rust (or willingness to learn it) • Proven ability to move fast, work independently, and collaborate with a high-caliber team

🏖️ Benefits

• 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