Software Engineer, ML Infrastructure

Careers Software Engineer, ML Infrastructure

Engineering · Full-time · SF / NY

Apply

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the role The ML Infrastructure team builds large-scale compute, storage, and software infrastructure to support Cursors work building the worlds best agentic coding model. Were 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 youll 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 Cursors 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
• Production use of infrastructure-as-code and configuration management, across hosts and Kubernetes

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

Apply for this role Name Email Resume Upload file LinkedIn URL GitHub Profile

Please write a short note on a project youre proud of:

Will you now or in the future require visa sponsorship to work in the country where this position is located?

Has someone at Cursor referred you for this role? If so, please include their email here

Submit application