Senior Infrastructure Engineer - GPU Clusters & AI Pipelines

Roboticsconnected; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

General Intuition is seeking an experienced infrastructure leader to own the end-to-end AI data pipelines and training workflows. You will manage cluster scheduling, GPU utilization, and data preprocessing at scale, ensuring low latency and high throughput across multi-region deployments.

You’ll drive infrastructure as code, work across cloud providers, and own performance optimizations in production, from data ingestion to inference latency.

Qualifications

• Own orchestration and GPU clusters - scheduling, utilization, capacity.
• Build preprocessing pipelines turning raw gameplay video into training-ready data.
• Treat disk and network I/O as first-class constraints; identify bottlenecks.

Responsibilities

• Own orchestration and GPU clusters from scheduling to data throughput.
• Develop preprocessing pipelines for training-ready data at high throughput.
• Optimize inference in production - batching, quantization, KV cache, runtimes.

Skills

Orchestration

GPU clusters

Preprocessing pipelines

Inference latency

Cloud providers

Infrastructure as code

Scheduling

Performance optimization

Tools

Kubernetes

Python

Go

Rust

C++

Terraform

Job description

General Intuition is seeking an experienced infrastructure leader to own the end-to-end AI data pipelines and training workflows. You will manage cluster scheduling, GPU utilization, and data preprocessing at scale, ensuring low latency and high throughput across multi-region deployments.

You’ll drive infrastructure as code, work across cloud providers, and own performance optimizations in production, from data ingestion to inference latency.