Software Engineering, New Grad – Eventual (San Francisco, CA) About Eventual Eventual enables developers to build the AI systems of the future by making multi-modal data and models work together seamlessly. 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) were built for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. Eventual was founded in 2022 to change that. Our mission is to make working with 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. Backed by Y Combinator, Caffeinated Capital, Array.vc, and top angels from the co-founders of Databricks and Perplexity, we’re just getting started—and we’d love for you to be part of it. Please note: This is a full time job is based in our San Francisco office (Mission District) . We value in-person collaboration and ask our engineers to be in the office at least 4 days a week. Your Role As a Software Engineering New Grad, you’ll work alongside our engineers to contribute to Eventual’s core products and open-source engine. You’ll gain hands-on experience building distributed data systems and products, while learning how to design, implement, and test features that support real-world AI and ML workloads. You’ll get mentorship from our team (ex-Databricks, AWS, Nvidia, Tesla, GitHub Copilot, Pinecone) and the opportunity to make meaningful contributions that reach production. Key
Responsibilities Contribute to building features in Eventual’s distributed query engine. Work on developing Eventual’s cloud service. Write clean, maintainable code with guidance from senior engineers. Collaborate with
the team to design and implement solutions for real-world data challenges. Assist with testing, debugging, and documenting core system components. What We Look For Within 1 year of graduating from University Strong programming skills in Python and/or Rust. Interest in distributed systems, databases, or data infrastructure. Familiarity with cloud technologies (AWS, GCP, or Azure) is a plus. Excitement to learn from a fast-paced startup environment and contribute to real-world systems.
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 backing from 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 are looking for someone who is willing and able to come into our San Francisco office in the Mission district 4 days / week.
Research Engineer, Multimodal Data
Software Engineer, High Performance Computing
Software Engineer, Product
Software Engineering Intern – Eventual (San Francisco, CA)
Software Engineering, New Grad
Salary
$120,000 - $150,000
Location
San Francisco, California, United States
Total raised
$30.0M
Last stage
Series A
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.