# ML Infrastructure Engineer

**Company**: Cursor
**Work arrangement**: remote
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cursor.com/careers/software-engineer-ml-infrastructure
**Canonical**: https://yubhub.co/jobs/job_5d37a7c7-d2a

## Description

### About the role

The ML Infrastructure team at Cursor builds large-scale compute, storage, and software infrastructure to support the company's work building the world's best agentic coding model. We're looking for strong engineers who are interested in building high-performance infrastructure and the software to support it. This role works closely with ML researchers and engineers to enable their work through improvements to our training framework, systems reliability/performance, and developer experience.

### What you'll do

- Collaborate with ML researchers to improve the throughput and reliability of training

- Work with OEMs, cloud service providers, and others to plan and build cutting-edge GPU infrastructure

- Improve the density and scalability of compute environments to enable increasingly large RL workloads

- Create software and systems to automate building, monitoring, and running GPU clusters

- Build workload scheduling and data movement systems to support Cursor's growing training footprint

### You may be a fit if

- A strong background in systems and infrastructure-focused software engineering, particularly in Python, Typescript, Rust, and Golang

- Experience with distributed storage and networking infrastructure, particularly on Linux systems across cloud and bare metal environments

- Exposure to large-scale systems and their unique challenges, ideally across thousands of nodes with significant resource footprints

### Nice to have

- Operational exposure to Nvidia GPUs with Infiniband or RoCE, particularly with Blackwell and Hopper-class hardware

- Exposure to Ray, Slurm, or other common compute and runtime schedulers

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## Skills

### Required
- Python
- Typescript
- Rust
- Golang
- Distributed storage
- Networking infrastructure
- Linux systems
- Kubernetes

### Nice to have
- Nvidia GPUs
- Infiniband
- RoCE
- Blackwell
- Hopper-class hardware
- Ray
- Slurm