Benefits

모든 정규직 입사자에게 연봉 수준의 스톡옵션 부여

Frontier of On-device AI Semiconductors for Everyone, Everywhere
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

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📌 [SW] NPU (DL) Compiler (Colón)
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