BRIDGELYT · RESEARCH & OPPORTUNITIES
퓨리오사AI Senior Software Engineer, Inference Engine (Platform Software)
퓨리오사AI Senior Software Engineer, Inference Engine (Platform Software) — 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 Senior Software Engineer, Inference Engine (Platform Software) — 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
- Design and implement FuriosaAI’s next-generation inference engine for large and multimodal language models—comparable in capability to frameworks such as vLLM and SGLang—optimized for throughput, latency, and memory efficiency.
- Design and implement advanced inference optimizations—such as speculative decoding, KV-cache management, tensor/model parallelism, memory-efficient execution, and scheduling—in our production inference engine.
- Design and develop capabilities for distributed and scalable inference, including prefill–decode (PD) and encode–prefill–decode (EPD) disaggregation, disaggregated speculative decoding, and hierarchical and external KV-cache storage such as HiCache and Mooncake.
- Collaborate closely with the Compiler team to co-design and optimize execution for FuriosaAI NPUs, improving system-level throughput, latency, and memory utilization.
- Proactively research, evaluate, and integrate state-of-the-art inference optimization techniques and key features of LLM serving frameworks into our production inference engine.
지원 자격
- BS degree in Computer Science, Engineering, or a related field, with at least 3 years of relevant industry experience, or equivalent practical experience
- Proficiency in Rust or C++ programming skill
- Knowledge and passion of deep learning, LLM, and/or generative AI models
- Excellent problem-solving and data analysis skills.
- Strong communication and collaboration skills.
우대 사항
- Experience in building inference serving systems for large models, encompassing batching, scheduling, caching, and load balancing.
- A deep understanding of performance optimization systems.
- Proficiency in C++/CUDA or Triton kernel development
- Contributions to open-source inference frameworks such as vLLM, SGLang, or TensorRT-LLM.
- 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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연구·기술직 채용공고 · 진행·예정
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연구·기술직 채용공고 · 진행·예정
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