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Architecture Engineer - NPU의 핵심 아키텍처와 연산 구조를 정의하고 성능을 검증합니다. 최신 LLM 연산 패턴 분석을 통한 NPU Core 설계 성능 모델 및 사이클 레벨 시뮬레이터 개발을 통한 면적·성능·정확도 트레이드오프 분석 컴파일러 팀과 긴밀히 협업하여 HW/SW 통합 실행 모델 설계 권...
BRIDGELYT · RESEARCH & OPPORTUNITIES
퓨리오사AI Software Engineer, Compiler (AX Engineer)
퓨리오사AI Software Engineer, Compiler (AX Engineer) — Seoul, South Korea. 담당 업무·지원 자격·마감일과 공식 지원 링크를 확인하세요.
진행·예정 · 출처에서 확인한 정보이며 최종 조건은 공식 원문을 확인하세요.
한 줄 요약
퓨리오사AI Software Engineer, Compiler (AX Engineer) — 퓨리오사AI · Seoul, South Korea. 현재 상태: 진행·예정.
정보 갱신일 2026-10-21
조건·일정 확인
- 기관·대학
- 퓨리오사AI
- 지역·근무지
- Seoul, South Korea
- 학력
- 학사 이상
담당 업무
- 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 sessions, regular Q&A sessions, and internal knowledge sharing for newly adopted tools
- Define and track adoption + impact metrics (e.g., PR cycle time, review turnaround, time-to-triage regressions, CI flakiness), and iterate based on data and feedback
- Monitor the AI tooling ecosystem and surface relevant developments to the team
지원 자격
- 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
우대 사항
- 3+ years of software engineering experience, or a Master's/Ph.D. degree in a related field
- 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 (DevOps, CI/CD, developer productivity, or technical program execution)
- talent@furiosa.ai
공식 출처와 다음 단계
공식 원문 확인원천 정보 갱신: 2026. 10. 21. PM 5:06
본문에 없는 자격·금액·일정은 임의로 보완하지 않습니다. 원문과 담당 기관에서 확인하세요.
도구에서 보기·관심 저장관련 정보
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