About the 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.
SOFTWARE ENGINEER, STORAGE
As a Software Engineer on the Storage team at SpaceXSI, you'll own the data layer that underpins every product surface: the databases, caches, and the strategy for how teams provision, query, and scale their data stores. Millions of developers depend on Cursor every day, and the future of our storage architecture is one of the highest-leverage problems at the company: get it right, and every team ships faster, every product surface gets more reliable, and SpaceXSI can scale to meet explosive demand. You'll design and execute the path to a robust, multi-database topology built for that growth.
RESPONSIBILITIES
- Design the next-generation data architecture: evolving our storage layer into a partitioned, resilient topology that keeps pace with SpaceXSI's rapid growth
- Build query attribution and guardrails: instrumenting every database query by service, catching bad patterns before they hit production, and making it impossible to ship problematic queries without review
- Define the "when to use what" strategy for data stores: creating clear guidance and golden pathways so every team picks the right engine for their workload without second-guessing
- Own cache infrastructure end-to-end: reliability, capacity planning, and patterns that let product teams move fast without worrying about cache correctness
BASIC QUALIFICATIONS
- Experience with relational databases at scale (e.g., Postgres, MySQL, or similar OLTP systems). Experience building and scaling databases or data infrastructure. Understanding of database performance, reliability, and caching.