[SW] LLM Serving SW Engineer

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., TensorFlow, PyTorch)

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□ If any false information is found in the application or onboarding documents, the job offer may be withdrawn even after confirmation.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