Senior ML Infra Architect - Data Pipelines & GPUs

Engg; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

General Intuition is hiring a senior infrastructure engineer to own end-to-end systems for large action models and world models. You will manage orchestration and GPU clusters, build preprocessing pipelines to convert raw gameplay video into training-ready data, and optimize disk I/O and training throughput, taking responsibility for latency and cost.

You will work across cloud providers with infrastructure as code, multi-region deployment, and production readiness.

Qualifications

• Own orchestration and GPU clusters - scheduling, utilization, capacity.
• Build preprocessing pipelines turning large raw gameplay video into training-ready data.
• Treat disk and network I/O as first-class constraints in high-volume data.
• Optimize inference in production - batching, caching, and runtime costs.
• Own infrastructure as code and multi-region deployment across cloud providers.

Responsibilities

• Lead end-to-end infrastructure for large action models and world models.
• Collaborate with engineers to decide on architecture and production readiness.
• Write and review code today, becoming the reference for system designs.

Skills

Kubernetes orchestration

GPU clustering

Data pipelines

Infrastructure as Code

Performance optimization

Multi-region cloud

Tools

Python

Go

Rust

C++

Terraform

Job description

General Intuition is hiring a senior infrastructure engineer to own end-to-end systems for large action models and world models. You will manage orchestration and GPU clusters, build preprocessing pipelines to convert raw gameplay video into training-ready data, and optimize disk I/O and training throughput, taking responsibility for latency and cost.

You will work across cloud providers with infrastructure as code, multi-region deployment, and production readiness.