Job Description
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.
Job Tags
Full time, Work at office,