DeepX
DeepX

[SW] LLM Serving SW Engineer

職種機械学習
経験ミドル級
勤務地㈜딥엑스
勤務オンサイト
雇用정규직
掲載14ヶ月前
応募する

ポジションについて

Frontier of On-device AI Semiconductors

for Everyone, Everywhere

Responsibilities

  • Develop and optimize LLM serving systems based on DeepX NPU

  • Design and implement runtime and inference engines for LLM

  • Analyze LLM serving performance and resolve bottlenecks

Qualifications

  • Bachelor’s degree or higher in Computer Science or a related field

  • Experience in software development using C/C++ and Python

  • Understanding of LLMs or deep learning frameworks (e.g., Tensor Flow, Py Torch)

  • Experience with Linux-based development environments

  • Basic knowledge of computer architecture and parallel processing

Preferred Qualifications

  • Experience with AI accelerator hardware such as NPUs or GPUs

  • Hands-on experience with model compilers/runtimes like ONNX, TVM, or TensorRT

  • Knowledge of model optimization techniques such as quantization and pruning

  • Project experience with LLM models such as Mistral, LLaMA, or GPT

  • Passion to grow fast in a dynamic startup environment

Recruitment Process

  • Application Review - (Phone Interview) - Technical Interview
  • Organizational Culture Fit Interview
  • CEO Interview
  • Reference Check / Compensation Discussion

※ The recruitment process may vary depending on the position and application content.

※ Candidates with less than 3 years of experience are required to submit their academic transcripts.

Employment Type

  • Full-time (3-month probationary period with 100% compensation)

Working Hours

  • Monday to Friday, 9:00 AM – 6:00 PM (Lunch break: 12:00 PM – 1:00 PM)

Notes

  • If any false information is found in the application or onboarding documents, the job offer may be withdrawn even after confirmation.

  • A 3-month probationary period applies after joining, with no reduction in salary or benefits.

Benefits

  • 모든 정규직 입사자에게 연봉 수준의 스톡옵션 부여

  • 최신 사양 장비 및 최고의 근무 환경 제공 (최신 노트북, 높낮이 조절식 스탠딩 데스크, 모니터암, 듀얼모니터 등 제공)

  • 점심식사 + 아침 & 저녁식사 지원

  • 스낵, 아이스크림, 음료 등 사내 카페 무제한 간식 제공

  • 사우나가 포함된 피트니스 비용 지원

  • 연 1회 종합건강검진 지원 (배우자 포함)

  • 생일, 결혼기념일, 크리스마스이브 축하금 지급 및 조기퇴근 제공

  • 설/추석 명절 상여금 지급

  • 축하와 위로를 위한 경조휴가 및 경조금 지원

福利厚生

健康保険

ストックオプション

業績賞与

有給休暇

無料食事

ジム補助

Learning Budget

在宅勤務支援

ウェルネスプログラム

退職金制度

必須スキル

Machine learning

AI research

Model evaluation

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