Software Engineer, Compiler (AX Engineer)
FuriosaAI · Seoul, South Korea
Infrastructureonsite
At a glance
Highlights
- Be first to define AI-assisted engineering workflows for Compiler team.
- Prototype coding agents and LLM-assisted review on real workflows.
- Improve CI signal quality and cut flaky tests and triage time.
Ideal candidate
A curious builder who maps undefined spaces and loves improving developer workflows. You experiment with AI coding tools and turn experiments into playbooks others actually use.
Requirements
- BS in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field
- Hands-on experience with LLM-based coding tools (e.g., GitHub Copilot, Cursor, Claude Code, Codex, or equivalent)
- Strong understanding of software development workflows from the perspective of a practicing engineer
- Ability to rapidly evaluate new tools and translate findings into actionable team guidance
Lab profile
About FuriosaAI
Builds high-performance, high-efficiency AI compute for the Inference Era.
What they build
- AI inference accelerators
- High-efficiency AI compute hardware
Known for
- Energy-efficient AI chip architecture
- High-performance AI inference
- AI compiler development
Key facts
- Founded in 2017
- Offices in Korea and Silicon Valley
- Compiler-focused R&D lab in Lisbon
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