연구·기술직 채용공고 · 진행·예정
퓨리오사AI [신입/경력] Hardware Engineer (석사/박사)
퓨리오사AI
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 (Middle-end)
퓨리오사AI Software Engineer, Compiler (Middle-end) — 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 (Middle-end) — 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
- IR, Semantics, and Lowering. Design and evolve intermediate representations, semantics, and lowering transformations that connect tensor programs to efficient hardware execution.
- Global Optimization and Execution Planning. Develop performance models, search and solver techniques, and optimization algorithms that produce efficient execution plans across the program.
- Scheduling and Resource Management. Optimize execution schedules and hardware resource allocation.
- Program Analysis and Verification. Build dependence and alias analyses, race detectors, and compiler checks that validate transformations and catch correctness issues early.
- Hardware/Software Co-design. Contribute compiler and workload insights to future hardware generations, and evaluate proposed architectures before implementation in silicon.
지원 자격
- Bachelor's degree in Computer Science, Mathematics, or a related technical field.
- Foundational knowledge of compiler design and optimization passes.
- Ability to abstract complex hardware/software constraints into logical algorithms and solve problems through rigorous reasoning.
우대 사항
- Master's or PhD in Programming Languages, Compilers, Program Analysis, or related fields.
- Research or industry experience with compiler infrastructures like LLVM or MLIR.
- Experience developing code generators, instruction schedulers, or high-performance kernels for specialized accelerators (NPU, GPU, etc).
- Experience applying search, constraint solving, or mathematical optimization (ILP, SMT, dynamic programming, heuristic search) to compilation, scheduling, or resource allocation problems.
- Experience building analytical or learned performance models for hardware.
- Experience applying program analysis techniques to optimize performance or ensure program correctness.
- Experience with functional programming languages, particularly in the design of large-scale software systems.
- 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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Cluster-level serving system, heterogeneous computing system 등 차세대 NPU serving의 굵직한 기술 챌린지를 발굴하고 연구 과제로 정의합니다.