Software Engineer, Compiler (AX Engineer)

FuriosaAI
Seoul
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3+ yearsSkills: ["Evaluating new tools","Translating findings","Documentation","Knowledge sharing","Metrics-driven iteration"]

Build and operationalize AI-assisted engineering workflows for the Compiler team so models run at peak performance on FuriosaAI accelerators. Identify workflow bottlenecks across development, review, debugging, CI/testing, and documentation. Research, prototype, and benchmark LLM-based coding and debugging assistants, then create prompt libraries, workflow templates, integration guides, and metrics-driven adoption plans to improve reliability and reduce cycle time.

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FursaFursa
FuriosaAI
FuriosaAI
1 week 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: 12 minutes agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Build and operationalize AI-assisted engineering workflows for the Compiler team so models run at peak performance on FuriosaAI accelerators. Identify workflow bottlenecks across development, review, debugging, CI/testing, and documentation. Research, prototype, and benchmark LLM-based coding and debugging assistants, then create prompt libraries, workflow templates, integration guides, and metrics-driven adoption plans to improve reliability and reduce cycle time.
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 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 and failure triage workflows)
  • •Lead onboarding and internal knowledge sharing for newly adopted tools, then define adoption and impact metrics and iterate based on data

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 a practicing engineer’s perspective
  • •Ability to rapidly evaluate new tools and translate findings into actionable team guidance
  • •Ability to operate effectively without a clear job description, mapping undefined areas into workable processes
Experience:3+ years
Skills:Evaluating new toolsTranslating findingsDocumentationKnowledge sharingMetrics-driven iteration
Languages:English
Tech Stack:LLM-based coding toolsGitHub CopilotCursorClaude CodeCodexIDECI/testingCI/CDLLM-assisted review

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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