딥엑스 · 기타 개발
- 온디바이스 AI 반도체·NPU
[SW] Application Technology Development
이 브라우저에 저장돼요 · 최근 확인
무슨 일을 하고, 무엇을 요구하나요?
기타 개발 · 필수 · 경력 3년 이상
- 주요 업무
- 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
- 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
- 자격 요건
- 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
- 우대 사항
- 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
- 근무·전형
- Full-time (3-month probationary period with 100% compensation)
- 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.
공고 원문의 문장을 그대로 옮겼어요. 근무 조건과 전형은 바뀔 수 있으니 지원 전에 원문을 확인하세요.
그 밖의 경력 조건
- 필수□ Bachelor’s degree or higher in Computer Engineering, Electronic Engineering, AI-related fields, and at least 3 years of relevant experience
딥엑스, 어떤 회사일까요?
- 온디바이스 AI 반도체·NPU
온디바이스 AI를 위한 NPU와 소프트웨어를 만드는 딥엑스입니다. 판교 본사와 기술 방향을 공식 페이지에서 확인했고 법인 설립·투자 연혁은 회사 소개 전재 자료로 보강했습니다.
딥엑스 더 알아보기포지션 소개 · 공고 전문 읽기
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