The opportunity
The 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.
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
