{"id":1212437,"url":"https://alion.io/job/rebellions-collective-communication-library-engineer-software","title":"Collective Communication Library Engineer (Software)","company":{"id":173,"name":"Rebellions","domain":"rebellions.ai","url":"https://alion.io/company/rebellions","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greeting","truth_index":{"grade":"C","score":67,"open_postings":38,"ghost_share":0.553,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seongnam, South 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for our NPU’s unique architecture and topology\nContributing to the technical design, API definition, and performance optimization of the communication library\nCollaborating with hardware and software teams to analyze performance bottlenecks and influence future NPU and interconnect architecture\nKey Qualifications\nMaster’s degree in Computer Science, Computer Engineering, or a related field\nMinimum of 5 years of professional experience in high-performance systems software development\nStrong collaboration and problem-solving skills for complex technical issues\nSolid understanding of collective communication algorithms (e.g., All-Reduce, All-Gather, Reduce-Scatter) and their performance characteristics\nProficiency in low-level systems programming (C/C++) and understanding of OS internals and networking fabrics like RDMA/RoCE\nUnderstanding of interconnect topologies and Network-on-Chip (NoC) architectures\nProven experience developing and delivering complex, high-performance, and reliable software in a collaborative environment\nIdeal Qualifications\nA Ph.D. in a related field (HPC, Parallel Computing, Computer Architecture)\nPrior experience contributing to high-performance communication libraries (e.g., NCCL, MPI) or parallel runtimes\nExperience with performance analysis and optimization for AI accelerators (GPUs, TPUs, or other NPUs) and their specific interconnects (e.g., NVLink, CXL, RoCE)\n전형절차\n서류전형 > On-line 인터뷰(Culture-fit, 코딩테스트 포함) > On-site 인터뷰(기술 발표) > 평판 조회 > 처우 협의 > 최종 합격\n전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.\n전형 일정 및 결과는 지원 시 작성하신 이메일로 개별 안내드립니다.\n참고사항\n본 공고는 모집 완료 시 조기 마감될 수 있습니다.\n지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.\n채용 및 업무 수행과 관련하여 요구되는 법령 상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.\n보훈 대상자 및 장애인 여부는 채용 과정에서 어떠한 불이익도 미치지 않습니다.\n담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.\n채용 관련 문의사항은 아래 메일 주소로 문의바랍니다. 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