Compute Intelligence Engineer

Prime Intellect
San Francisco
Workplace: OnsiteFull timeUSD 225,000 - 300,000 annuallyFunction: Software EngineeringExperience: 3-7 yearsSkills: ["Python","SQL","Dbt","Airflow","Dagster","BigQuery","Snowflake","Databricks","APIs","BI","Dashboards","LLMs"]

Build and operate the data infrastructure and intelligence platform that provides a live, single source of truth for Prime Intellect’s compute — mapping supply, demand, capacity, and bottlenecks to business outcomes. You’ll stand up the data warehouse, craft pipelines, model data, and deliver dashboards and AI-assisted self-serve data access for multiple teams.

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FursaFursa
Prime Intellect
Prime Intellect
3 months ago

Compute Intelligence Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and operate the data infrastructure and intelligence platform that provides a live, single source of truth for Prime Intellect’s compute — mapping supply, demand, capacity, and bottlenecks to business outcomes. You’ll stand up the data warehouse, craft pipelines, model data, and deliver dashboards and AI-assisted self-serve data access for multiple teams.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build the Compute Intelligence Platform: Stand up data warehouse (Snowflake, BigQuery, or equivalent) and pipelines feeding it (compute telemetry, billing and usage data, partner and supply data, CRM, and financial systems).
  • •Build the data models and transformations (dbt or equivalent) to create a clean, queryable source of truth.
  • •Build dashboards and reporting that provide a live view of compute supply, demand, utilization, capacity, and bottlenecks.
  • •Build a queryable, AI-accessible layer on top of the warehouse for self-serve queries across teams.

Pay and Benefits

Salary: USD 225,000 - 300,000 annually
Equity and Bonus:Equity
Perks:Remote WorkVisa SponsorshipRelocationLearning BudgetOff-sitesEquity

Key Requirements

  • •3–7+ years in data engineering, analytics engineering, GTM/growth engineering, or similar roles where you've built data infrastructure that served real business outcomes.
  • •Strong technical skills: comfortable building and maintaining data warehouses, writing production-quality pipelines (Python, SQL), modeling data (dbt or equivalent), and connecting disparate systems via APIs.
  • •Experience with modern data stack tooling — Snowflake / BigQuery / Databricks, dbt, orchestration (Airflow, Dagster, etc.), and BI/dashboarding tools.
  • •A builder's instinct paired with business judgment — you don't just build what's asked; you understand the business well enough to build the right thing.
  • •Comfortable being the data backbone for cross-functional teams — translating between business needs and the systems that serve them.
Experience:3-7 yearsAIData engineeringGTM engineeringGrowth engineering
Skills:PythonSQLDbtAirflowDagsterBigQuerySnowflakeDatabricksAPIsBIDashboardsLLMs
Languages:English
Tech Stack:PythonSQLSnowflakeBigQueryDatabricksDbtAirflowDagsterBILLMAPIs

Company Brief

Prime Intellect
Builds a decentralized, open compute and training platform that enables distributed training and collective ownership of AI models, aggregating global GPU resources and offering tools for agentic RL and model evaluation.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: San Francisco, United States
Founded: 2024
WebsiteLinkedIn