ML Infrastructure Engineer: Build Scalable GPU Clusters

cursor; New York, San Francisco (NY, CA); On-site; USD 120,000 - 150,000; Full time

Job summary

cursor in New York, New York, seeks talented engineers to enhance their ML Infrastructure team, focusing on building a robust and scalable coding model. Candidates should be proficient in Python, Golang, Rust, and have a strong background in systems-focused programming.

This is a unique opportunity to work closely with researchers, improve training systems, and automate GPU cluster management while collaborating in a flat organizational structure that values creative input.

Qualifications

• Strong background in software engineering, particularly in systems and infrastructure.
• Experience with distributed storage and networking infrastructure on Linux systems.
• Production use of infrastructure-as-code and configuration management.

Responsibilities

• Collaborate with ML researchers to improve training throughput and reliability.
• Plan and build cutting-edge GPU infrastructure with OEMs and cloud providers.
• Create software to automate building and monitoring GPU clusters.

Skills

Systems and infrastructure-focused software engineering

Python

Typescript

Rust

Golang

Tools

Kubernetes

Nvidia GPUs

Ray

Slurm

Job description

cursor in New York, New York, seeks talented engineers to enhance their ML Infrastructure team, focusing on building a robust and scalable coding model. Candidates should be proficient in Python, Golang, Rust, and have a strong background in systems-focused programming.

This is a unique opportunity to work closely with researchers, improve training systems, and automate GPU cluster management while collaborating in a flat organizational structure that values creative input.