Frontier of On-device AI Semiconductors
for Everyone, Everywhere
Role Overview
At DEEPX, Generative AI Specialists are responsible for researching all state-of-the-art technologies needed to bring generative AI models (e.g., LLMs, diffusion models) to edge computing environments.
This role focuses on optimizing existing generative AI models for scalable and efficient inference on edge devices, as well as researching the latest generative models and optimization techniques.
The role requires close collaboration with the Deep Learning Team, DL Compiler Team, and NPU Hardware Team to commercialize generative AI through integration with edge devices.
You will play a key role in transforming generative AI models to a form compatible with DEEPX NPUs, adapting them for internal use by DEEPX’s AI technology development teams, and implementing system-level optimizations to maximize performance on DEEPX hardware.
If you are passionate about shaping the future of generative AI on edge platforms, we invite you to join us on this meaningful challenge at DEEPX.
Responsibilities
□ Analyze SOTA generative AI models and track global trends
□ Develop and improve model compression techniques (e.g., quantization) for generative AI
□ Optimize generative AI models for deployment on DEEPX NPUs (edge devices)
□ Develop new generative AI technologies optimized for DEEPX hardware platforms
Qualifications
□ Strong logical thinking and evidence-based communication skills
□ Background in AI-related fields with a passion for deep learning and generative AI
□ Practical experience with generative AI models such as open-source LLMs and Stable Diffusion
□ Experience developing models using AI frameworks such as PyTorch, Keras, or TensorFlow
□ Proficiency in Python programming
Preferred Qualifications
□ Master’s or Ph.D. degree in Computer Science, Machine Learning, or related fields
□ Publications or presentations at top-tier AI conferences (e.g., NeurIPS, CVPR, AAAI, EMNLP)
□ Experience in developing pre-training or inference engines for language models
□ Proficiency in at least one DNN model optimization technique (Quantization, Pruning, Knowledge Distillation, etc.)
□ Recognition in AI competitions or leaderboard rankings
□ Knowledge of advanced vision models such as Vision Transformers or Deformable CNNs and their applications
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
At DEEPX, Generative AI Specialists are responsible for researching all state-of-the-art technologies needed to bring generative AI models (e.g., LLMs, diffusion models) to edge computing environments.
This role focuses on optimizing existing generative AI models for scalable and efficient inference on edge devices, as well as researching the latest generative models and optimization techniques.
The role requires close collaboration with the Deep Learning Team, DL Compiler Team, and NPU Hardware Team to commercialize generative AI through integration with edge devices.
You will play a key role in transforming generative AI models to a form compatible with DEEPX NPUs, adapting them for internal use by DEEPX’s AI technology development teams, and implementing system-level optimizations to maximize performance on DEEPX hardware.
If you are passionate about shaping the future of generative AI on edge platforms, we invite you to join us on this meaningful challenge at DEEPX.
Responsibilities
□ Analyze SOTA generative AI models and track global trends
□ Develop and improve model compression techniques (e.g., quantization) for generative AI
□ Optimize generative AI models for deployment on DEEPX NPUs (edge devices)
□ Develop new generative AI technologies optimized for DEEPX hardware platforms
Qualifications
□ Strong logical thinking and evidence-based communication skills
□ Background in AI-related fields with a passion for deep learning and generative AI
□ Practical experience with generative AI models such as open-source LLMs and Stable Diffusion
□ Experience developing models using AI frameworks such as PyTorch, Keras, or TensorFlow
□ Proficiency in Python programming
Preferred Qualifications
□ Master’s or Ph.D. degree in Computer Science, Machine Learning, or related fields
□ Publications or presentations at top-tier AI conferences (e.g., NeurIPS, CVPR, AAAI, EMNLP)
□ Experience in developing pre-training or inference engines for language models
□ Proficiency in at least one DNN model optimization technique (Quantization, Pruning, Knowledge Distillation, etc.)
□ Recognition in AI competitions or leaderboard rankings
□ Knowledge of advanced vision models such as Vision Transformers or Deformable CNNs and their applications
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