Software Engineer, Systems

Join to apply for the Software Engineer, Systems role at Eventual

Join to apply for the Software Engineer, Systems role at Eventual

This range is provided by Eventual. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00 / yr - $250,000.00 / yr

About Eventual

Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product.

Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems : coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can’t. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens.

We’ve assembled a world-class team from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and more, quadrupling our size within a year. With Series A and seed funding from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and top angels from the co-founders of Databricks and Perplexity, we’re looking to double the team now. Join us—Eventual is just getting started.

Please note we're looking for individuals who are excited to be a part of a tight-knit team working together 4 days / week in our SF Mission district office.

Your Role

As a Software Engineer on the Systems team, you will build key capabilities for the Daft distributed data engine. You will be working on core architectural design and implementation of various components in Daft. While we are an experienced team that can provide constant guidance and mentorship, we value engineers who can autonomously scope and solve difficult technical challenges.

Key Responsibilities

• Planning / Query Optimizer : intelligently optimize users’ workloads with modern database techniques
• Execution Engine : improve memory stability through the use of streaming computation and more efficient data structures
• Distributed Scheduler : improve Daft’s resource utilization, task scheduling and fault tolerance
• Storage : improve Daft integrations with modern data lake technologies such as Apache Parquet, Apache Iceberg and Delta Lake
• Our goal is to build the world’s best open-source distributed query engine, becoming the leading framework for data engineering and analytics.
• We are a young startup - so be prepared to wear many hats such as tinkering with infrastructure, talking to customers and participating heavily in the core design process of our product!

What We Look For

Perks & Benefits

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Industries

Software Development

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