Software Engineer, ML Infrastructure
Cursor · San Francisco, CA · Engineering
About this role
Cursor is hiring a mid-level Infrastructure Engineer in the software engineering function based in San Francisco, CA. The posting calls out experience with Ray, Python, TypeScript, Go.
- Role
- Infrastructure Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA
- Department
- Engineering
- Posted
- Jan 27, 2026
More roles at Cursor
Job description
from Cursor careersOur 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 roleThe ML Infrastructure team builds large-scale compute, storage, and software infrastructure to support Cursor’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