Compute Intelligence Engineer
Prime Intellect provides an open superintelligence stack for training, evaluating, deploying, and continuously improving AI agents and models. Its platform combines RL environments, hosted training, inference, GPU compute, secure sandboxes, and open-source research tooling for researchers, startups, and enterprises.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Prime Intellect, Inc.
Prime Intellect operates an integrated AI infrastructure platform spanning Lab, hosted reinforcement-learning training, evaluations, environments, inference, secure sandboxes, and on-demand or reserved GPU compute. It also develops open-source tools including Verifiers, prime-rl, and Prime Agent, supporting workflows from environment creation and model evaluation through post-training and production deployment. The company serves researchers, startups, enterprises, and teams building agentic AI systems, with customer examples including Ramp and Zapier.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build the data infrastructure and intelligence platform that provides a live view of compute supply, demand, utilization, capacity, and economics. You will establish the warehouse, develop production pipelines and data models, create dashboards and queryable data interfaces, and support cross-functional teams with reliable information.
Requirements
- 3–7+ years in data engineering, analytics engineering, GTM/growth engineering, or similar roles
- Data warehouse development and maintenance
- Production-quality Python and SQL pipelines
- Data modeling with dbt or equivalent
- API integrations
- Snowflake, BigQuery, or Databricks
- Airflow, Dagster, or equivalent orchestration tools
- BI and dashboarding tools
- Modern AI tooling
Responsibilities
- Stand up the data warehouse and pipelines
- Build data models and transformations
- Create dashboards and reporting
- Build an AI-accessible query layer
- Track compute supply, commitments, capacity, and utilization
- Connect supply data to demand signals
- Support Growth, Compute Partnerships, and Research with shared data
- Establish data quality, documentation, and infrastructure standards
- Build reliable unattended pipelines
Benefits
- Meaningful equity
- Flexible work with remote or San Francisco options
- Visa sponsorship
- Relocation support
- Professional development budget
- Team off-sites and conferences