[SW] Entry-level Engineering (Bachelor’s/Master’s/PhD/전문연구요원)
Indexed description
By delivering the world’s most energy-efficient NPU technology, we are solving the critical power and heat challenges of Generative AI to bring super-intelligence to every device, everywhere.
Our global leadership is validated by our record-breaking recognition as a multi-year CES Innovation Award honoree (2024 & 2026) and being named the 2024 Frost & Sullivan Company of the Year in the NPU sector. With an enterprise value approaching 1 trillion KRW, DEEPX offers a unique pre-IPO
opportunity to join a market leader defining the new industry standard for the $70B AI semiconductor market.
We are currently scaling toward mass production of our flagship DX-M1 (Samsung 5nm) with over 50 global projects scheduled, while engineering next-generation 2nm solutions to support 100B parameter Large Language Models (LLM) at the edge. ☞ Link
★ If you want to be part of world-class innovation? Please talk with us.
★Explore our journey: The DEEPX White Paper ☞ Link
You may apply for any position in the Software & Hardware Engineering departments.
System SW
□ Develop ROM boot code and bootloaders
□ Implement Core, BSP (Board Support Package), and protocol stacks
□ Develop driver software for USB, PCIe, DDR, SD/eMMC, MIPI, ISP, Codec, etc.
□ Implement initial test software for various hardware IPs
□ Develop system module control software (e.g., Power Management, MMU)
□ Develop and debug SoC-level verification software
Runtime SW
□ Design and implement a real-time inference engine optimized for DEEPX NPU architecture
□ Develop pre/post-processing frameworks optimized for system/CPU design
□ Design, implement, and optimize the NPU/CPU interface
□ Develop AI application software based on NPU
□ Design and implement system-level NPU verification and automated testing software
□ Collaborate with all internal SW/HW teams
Generative AI
□ Analyze state-of-the-art (SOTA) generative AI models and technology trends
□ Develop and refine DNN model compression techniques including quantization
□ Optimize generative AI models for DEEPX edge devices (NPU products)
□ Develop and enhance new generative AI technologies optimized for DEEPX hardware
DNN Model Optimization
□ Analyze DNN model operations and develop related optimization and compression techniques
□ Research and apply GPU optimization methods and track the latest literature
□ Study and develop optimization techniques for cutting-edge DNN models
□ Analyze and track developments in various DNN compilers
□ Perform algorithm optimization for DEEPX software code
Compiler (DL) Engineer
□ Develop deep learning compilers optimized for DEEPX AI products
□ Implement various compiler optimizations: tiling, memory optimization, operation fusion, etc.
□ Collaborate with NPU HW team to define HW/SW specifications and interfaces for efficient AI computation
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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