Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By making better use of idle computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.
ABOUT THE ROLEThis is Hyperbolic's first dedicated Data Engineer, and you will build our data infrastructure from 0 to 1. You'll be one half of a two-person data team, working alongside our data analyst, which means a high degree of autonomy and a direct line to impact. Today our product engineers maintain the data stack on top of their day jobs. You will take ownership of the data warehouse, the pipelines that feed it, and the tooling that keeps it healthy.
The timing matters. As we launch new products like inference, our data volume will grow fast, we will add more data sources, and more teams will rely on BI and reporting. Scrappy processes and off-the-shelf tools won't keep up at that scale, and you will build what comes next.
You will sit between our data analysts and engineering, partnering with both to make sure the right data is reliable, fast, and cost-efficient to use.
Our current data stack includes Redshift, Postgres, and Hex, with Polytomic for ingestion.
WHO YOU ARE
Track record of independently building and maintaining a data warehouse that ingests and aggregates data from multiple sources using industry-standard tooling
Experience designing data models for new business lines, figuring out what to model and how as new products (like spot and inference) come online
Experience ensuring data reliability and quality through testing, documentation, and governance
Familiarity with data lakes and data warehouses, and when to use each
Deep knowledge of Postgres, including partitioning, data archival, and moving large datasets
Experience working with large datasets
Experience supporting production systems: monitoring, troubleshooting, and performance tuning
Strong communication skills, with the judgment to push back on requests that would add tech debt and explain why
Familiarity with the AWS ecosystem (this can be learned on the job)
DBA experience
Experience setting up CI/CD for data pipelines
Background in GPU infrastructure, cloud computing, or AI infrastructure
Experience at an early-stage, high-growth technical company
Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Skills Required
- Independently build and maintain a data warehouse ingesting and aggregating multiple data sources using industry-standard tooling
- Design data models for new business lines and products
- Ensure data reliability and quality through testing, documentation, and governance
- Understand data lakes, data warehouses, and when to use each
- Deep knowledge of PostgreSQL, including partitioning, data archival, and moving large datasets
- Experience working with large datasets
- Support production systems through monitoring, troubleshooting, and performance tuning
- Strong communication skills and judgment to manage technical debt
- Familiarity with the AWS ecosystem
- Database administration experience
- Experience setting up CI/CD for data pipelines
- Background in GPU infrastructure, cloud computing, or AI infrastructure
- Experience at an early-stage, high-growth technical company
What We Do
At Hyperbolic, we’re building the leading open-access AI cloud. Access inference and compute at a fraction of the cost, and build AI applications without relying on centralized infrastructures. We invite builders, compute providers, researchers, and individuals to join us on this journey.
