Software Engineer, Compiler (AX Engineer)

FuriosaAI
Seoul
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3+ yearsSkills: ["Autonomy","Intellectual curiosity","Shared ambition"]

Build and operationalize AI-assisted engineering workflows for the Compiler team, identifying high-leverage bottlenecks across development, code review, debugging, CI/testing, documentation, and project execution. Research, prototype, and benchmark LLM-based tooling (e.g., coding agents and review assistants), then design prompt libraries, workflow templates, and integration guides for IDE and CI. Improve CI/testing signal quality, lead tool onboarding, and measure adoption and impact metrics.

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FursaFursa
FuriosaAI
FuriosaAI
2 weeks ago

Software Engineer, Compiler (AX Engineer)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 47 minutes agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Build and operationalize AI-assisted engineering workflows for the Compiler team, identifying high-leverage bottlenecks across development, code review, debugging, CI/testing, documentation, and project execution. Research, prototype, and benchmark LLM-based tooling (e.g., coding agents and review assistants), then design prompt libraries, workflow templates, and integration guides for IDE and CI. Improve CI/testing signal quality, lead tool onboarding, and measure adoption and impact metrics.
Location: Seoul
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Identify pain points and leverage opportunities across the engineering workflow (development, code review, debugging, CI/testing, documentation, and project execution).
  • •Research, prototype, and benchmark AI/automation tools (e.g., coding agents, LLM-assisted review, debugging assistants) against real team workflows.
  • •Design and maintain team-specific prompt libraries, workflow templates, and integration guides (IDE, code review, CI, debugging, documentation).
  • •Improve CI/testing signal quality and feedback loops (e.g., flaky test reduction, failure triage workflows).
  • •Lead onboarding, Q&A sessions, and internal knowledge sharing for newly adopted tools; track adoption and impact metrics and iterate based on data and feedback.

Key Requirements

  • •3+ years of software engineering experience.
  • •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.
  • •Ability to operate effectively in an undefined role without a clear job description.
Experience:3+ yearsLLM-based coding tools
Skills:AutonomyIntellectual curiosityShared ambition
Languages:English
Tech Stack:LLMGitHub CopilotCursorClaude CodeCodexCoding agentsIDECICI/testingCI/CDPrompt librariesTensor Contraction LanguageVirtual ISA

Company Brief

FuriosaAI
Designs and develops data‑center AI inference accelerators (RNGD) and a full stack hardware‑software platform to deliver energy‑efficient, high‑performance AI compute for enterprise and cloud customers.
Industry: Hardware Devices
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: USD 500M to 1B
Funding: Series C
Headquarters: Seoul, South Korea
Founded: 2017
Glassdoor
Glassdoor: 4.6
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