Frontier of On-device AI Semiconductors
for Everyone, Everywhere
Role Overview
The DEEPX NPU (DL) Compiler Team develops a deep learning compiler that generates binary code for DEEPX’s proprietary NPU, designed to accelerate inference of deep learning models. This NPU binary code includes crucial optimization features such as computational performance tuning, power efficiency, and resource minimization (e.g., memory optimization). It is one of the core technologies of the DEEPX AI Processor Solution. To achieve this, the Compiler team collaborates closely with the NPU Hardware team to define and implement SW/HW specifications and interfaces.
The NPU Compiler development process includes:
□ Generating an intermediate graph-level representation from AI software platform code
□ Converting DNN models for deployment on DEEPX NPUs
□ Applying various optimizations to enhance performance per watt
□ Generating NPU binaries considering hardware resource constraints
Responsibilities
□ Develop deep learning compiler optimized for DEEPX AI products
□ Implement various compiler optimizations: tiling, memory optimization, operation fusion, etc.
□ Collaborate with the NPU HW team to design and implement HW/SW specifications and interfaces for efficient AI computation
Qualifications
□ Experience in compiler development: transformation passes, optimization, scheduling, etc.
□ Experience in SRAM/shared/scratchpad memory optimization
□ Strong programming skills in Python
□ Experience with deep learning inference on NPUs, DSPs, GPUs, or mobile applications
□ Solid understanding of compiler fundamentals, OS, and computer architecture
Preferred Qualifications
□ Experience developing NPU compilers
□ Familiarity with DL compilers such as TVM or Glow
□ GPU programming experience (CUDA/OpenCL)
□ SIMD programming experience (x86, ARM NEON)
□ Experience with TensorFlow, PyTorch, or ONNX Runtime
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
Frontier of On-device AI Semiconductors
for Everyone, Everywhere
Role Overview
The DEEPX NPU (DL) Compiler Team develops a deep learning compiler that generates binary code for DEEPX’s proprietary NPU, designed to accelerate inference of deep learning models. This NPU binary code includes crucial optimization features such as computational performance tuning, power efficiency, and resource minimization (e.g., memory optimization). It is one of the core technologies of the DEEPX AI Processor Solution. To achieve this, the Compiler team collaborates closely with the NPU Hardware team to define and implement SW/HW specifications and interfaces.
The NPU Compiler development process includes:
□ Generating an intermediate graph-level representation from AI software platform code
□ Converting DNN models for deployment on DEEPX NPUs
□ Applying various optimizations to enhance performance per watt
□ Generating NPU binaries considering hardware resource constraints
Responsibilities
□ Develop deep learning compiler optimized for DEEPX AI products
□ Implement various compiler optimizations: tiling, memory optimization, operation fusion, etc.
□ Collaborate with the NPU HW team to design and implement HW/SW specifications and interfaces for efficient AI computation
Qualifications
□ Experience in compiler development: transformation passes, optimization, scheduling, etc.
□ Experience in SRAM/shared/scratchpad memory optimization
□ Strong programming skills in Python
□ Experience with deep learning inference on NPUs, DSPs, GPUs, or mobile applications
□ Solid understanding of compiler fundamentals, OS, and computer architecture
Preferred Qualifications
□ Experience developing NPU compilers
□ Familiarity with DL compilers such as TVM or Glow
□ GPU programming experience (CUDA/OpenCL)
□ SIMD programming experience (x86, ARM NEON)
□ Experience with TensorFlow, PyTorch, or ONNX Runtime
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