Fluidstack

Software Engineer, Applied AI

Fluidstack
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1 month ago
Austin, TX, USA +3 moreSenior
H1B sponsor

Base Salary

$173k - $250k/yr

Responsibilities

  • Build core primitives for entity ownership, audit, authorization, and orchestration.
  • Own and evolve domain models representing power, data centers, chips, and related infrastructure concepts.
  • Integrate vendor systems and ingest formats including KMZ, BIM, Revit, and vendor documentation.
  • Build tools, guardrails, and audit trails that enable AI agents to operate safely in internal systems.
  • Develop production software end to end and take ownership beyond the immediate role scope when needed.

Requirements

  • Demonstrated ability to work effectively through ambiguity and learn unfamiliar technical domains quickly.
  • Strong judgment in abstraction and rigorous experience modeling complex domains.
  • Experience turning messy or unstructured data into usable systems, including through ML, data engineering, or research work.
  • Fluency with LLM APIs, MCP servers, agentic frameworks, and AI coding tools such as Claude Code or Cursor.
  • Experience shipping production code that other people depend on and working comfortably in multiple languages.
  • Preferred experience includes MLE, extraction and synthesis from unstructured data, Temporal, Cadence, Airflow, geospatial or BIM systems, authorization and policy engines, audit or event-sourcing systems, Go, TypeScript, and Postgres.

Benefits

  • Competitive total compensation package including salary and equity.
  • Retirement or pension plan in line with local norms.
  • Health, dental, and vision insurance.
  • Generous paid time off policy in line with local norms.
  • Equity may be provided through restricted stock units.

Tech Stack

Fluidstack

About Fluidstack

201-500 employees

Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.

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