Software Engineer, Compiler

Responsibilities

• Identify pain points and leverage opportunities across the engineering workflow including development, code review, debugging, CI/testing, documentation, and project execution
• Research, prototype, and benchmark AI/automation tools such as coding agents and LLM-assisted review against real team workflows
• Design and maintain team-specific prompt libraries, workflow templates, and integration guides
• Improve CI/testing signal quality and feedback loops through flaky test reduction and failure triage workflows
• Lead onboarding sessions and internal knowledge sharing for newly adopted tools
• Define and track adoption and impact metrics like PR cycle time and review turnaround
• Monitor the AI tooling ecosystem and surface relevant developments to the team

Requirements

• 3+ years of software engineering experience
• Hands-on experience with LLM-based coding tools like GitHub Copilot, Cursor, Claude Code, or Codex
• Strong understanding of software development workflows
• Ability to rapidly evaluate new tools and translate findings into actionable team guidance

Preferred Qualifications

• Background in compiler engineering, systems programming, or static analysis
• Experience building or customizing LLM-based agents or tooling via API
• Track record of driving internal tooling adoption or developer experience improvements
• Experience producing technical documentation, runbooks, or internal tech talks
• Experience improving engineering workflows such as DevOps, CI/CD, or developer productivity

About the Company

The Compiler team at FuriosaAI builds the software stack that enables ML models to run at peak performance on our AI accelerator hardware.