[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 PoCs through optimization of AI models ■ SDK and Developer Tools □ Maintenance and enhancement of the DXNN SDK (e.g., DX-STREAM, DX-APP, DX-ModelZoo) □ 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 TensorFlow or PyTorch □ 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 PoCs, 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 Show more Show less