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About this role

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

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 BE A FIT IF

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