[SW] Application Technology Development

Frontier of On-device AI Semiconductors

for Everyone, Everywhere

Responsibilities

• Development of AI Application Technologies

• Research and development of technologies to integrate DeepX’s NPU products into various application domains

• Design of reference architectures and provision of application examples to facilitate customer adoption

• Edge AI Application Development

• Development of AI-based applications in edge computing environments such as autonomous driving, robotics, and smart cities

• Delivery of customized demos and Po Cs through optimization of AI models

• SDK and Developer Tools

• Maintenance and enhancement of the DXNN SDK (e.g., DX-STREAM, DX-APP, DX-Model Zoo)

• Design of developer tools to enable effective use of DeepX’s NPU by developers

• Market Trend Analysis and Reporting

• Analysis of market trends related to AI and edge computing

• Identification of requirements based on emerging technologies to inform product development

• Technical Support and AI Ecosystem Expansion

• Technical support to help clients adopt DeepX NPUs

• Expansion of AI application areas through collaboration with partners and the broader ecosystem

Qualifications

• Bachelor’s degree or higher in Computer Engineering, Electronic Engineering, AI-related fields, and at least 3 years of relevant experience

• Experience with NPUs, GPUs, or other hardware accelerators

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

• Experience in building application systems using deep learning frameworks such as Tensor Flow or Py Torch

• Experience in edge computing or embedded systems development

• Strong analytical and problem-solving skills for technical issues

• Effective communication and collaboration with diverse stakeholders

Preferred Qualifications

• Project experience in specific AI application areas such as autonomous driving, smart cities, or robotics

• Experience developing Po Cs, demos, or providing customized client solutions

• Experience developing applications using GStreamer

• Familiarity with AI platforms such as CUDA, cuDNN SDK, or similar

• Experience in AI model optimization and compression (e.g., quantization, pruning)

• Experience in partnerships or technical collaborations within the AI ecosystem

• Ability to analyze technology trends and write reports

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