Software Engineer, ML Infrastructure

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 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 YOU MAY...