Software Engineer, Data Platform

Eventual; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

In-person team with 4 days in office

Competitive compensation and startup‑e

Catered lunches and dinners for SF

Commuter benefit

Team building events & poker nights

Health, vision, and dental coverage

Flexible PTO

Latest Apple equipment

401k plan with match

Job summary

Eventual is building a modern data platform to make AI data workflows simple and scalable. As a Software Engineer on our Data Platform, you will ship core features and contribute to architecture that powers multimodal data processing for enterprise customers.

You will work with a tight-knit team in San Francisco, collaborate across product and customer teams, and tackle complex challenges in a fast-paced startup environment with strong mentorship and growth opportunities.

Qualifications

• Strong engineering fundamentals and problem solving with Rust, C++, Python or Go.
• Ability to scope and solve complex technical challenges autonomously.
• Experience with backend services and distributed data systems is a plus.

Responsibilities

• Design and scale resilient backend services and distributed data systems.
• Collaborate with cross-functional product and customer-facing teams to ship solutions.
• Orchestrate compute workloads and container infrastructure across cloud environments (Kubernetes, Slurm).
• Build high-performance data applications, query tools, and data visualization platforms.
• Optimize cloud storage architectures and data pipelines for throughput and cost.

Skills

Rust

C++

Python

Go

Distributed systems

Tools

Kubernetes

Slurm

Job description

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 working on our Data Platform, you will be responsible for building Eventual's core products and architecture. You will ship features that will be immediately used by our customers and will work with a tight‑knit team that values open communication and cross‑functional collaboration. We move quickly to solve a wide range of complex technical and product challenges. 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:

• Design and scale resilient backend services and distributed data systems.

• Work closely with cross‑functional product and customer‑facing teams to understand requirements and ship thoughtful solutions.

• Orchestrate compute workloads and container infrastructure across cloud environments (Kubernetes, Slurm).

• Build high‑performance data applications, query tools, and data visualization platforms.

• Optimize cloud storage architectures and system pipelines for throughput, reliability, and cost‑efficiency.
  

What we look for:

We are looking for strong engineers who are problem‑solvers at heart—combining excellent coding and architectural fundamentals in languages like Rust, C++, Python, or Go with a drive to reach for lower‑level primitives when performance and efficiency demand it. We look for engineers with a technical spike in at least one of our specialized focus areas, though expertise across all of them is not required.

Areas that are highly relevant to the work that we do at Eventual, we only ask for expertise in one of these areas:

• ML/AI platform

• Search/recommendations platform

• Computer vision

• Computer graphics

• Data services (data catalogs, data lakehouses, query engines)

• Large‑scale batch/streaming jobs

• Deep expertise in storage infrastructure (cloud object storage, pubsub, queuing etc)

• Experience with GPU management and orchestration

Perks & Benefits

• In‑person tight knit team with 4x a week in office

• Competitive comp and startup equity

• Catered lunches and dinners for SF employees

• Commuter benefit

• Team building events & poker nights

• Health, vision, and dental coverage

• Flexible PTO

• Latest Apple equipment

• 401k plan with match!