# Fullstack Engineer - Data Platform at General Intuition

- Company: General Intuition
- What the company does: We build a new class of models that can perceive, predict, and act in virtual and physical environments. Backed by General Catalyst and Khosla.
- Company website: https://www.generalintuition.com/
- Type: Startups
- Level: Mid level
- Location: New York City
- Work setup: On-site
- Pay: $180K to $300K base salary per year (USD)
- Posted: 2026-06-24
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/generalintuition-medal/832cfe20-bc05-49cf-b4c2-bf72ee7bad43
- Page: https://www.1752.vc/careers/jobs/general-intuition-fullstack-engineer-data-platform/

## About the role

Billions of gameplay clips a year come in on one side. Large action models and world models train and serve on the other. Everything in between - the pipelines that turn raw footage into training data, the clusters that consume it, the storage and I/O that keeps them fed, the runtime that serves the results - is infrastructure, and it is what you own.

## What they're looking for

- You own orchestration and GPU clusters - scheduling, utilization, capacity. Expensive hardware sitting idle is your problem, and so is a training run blocked behind the scheduler
- You build the preprocessing pipelines that turn a very large corpus of raw gameplay video into training-ready data, at a throughput that keeps training from waiting on data
- You treat disk and network I/O as a first-class constraint rather than an afterthought. At our data volumes it is frequently the bottleneck, and you know how to find out whether it is
- You optimize inference in production - batching, quantization, KV cache, serving runtimes - and you own the latency and cost numbers rather than reporting them
- You are at ease across cloud providers and comfortable owning infrastructure as code, multi-region deployment, and the reliability of everything above
- You can draw a circle around something substantial and say: this was mine. You decided how it was built, you chose the technologies, and you carried it to production. Not "contributed to a team that" - you made the calls, and you have several examples

Tags: General Intuition & Medal