연구·기술직 채용공고 · 진행·예정
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NVIDIA
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BRIDGELYT · RESEARCH & OPPORTUNITIES
NVIDIA Deep Learning Applications Engineer
NVIDIA Deep Learning Applications Engineer — Korea, Seoul · Full time. 담당 업무·지원 자격·마감일과 공식 지원 링크를 확인하세요.
진행·예정 · 출처에서 확인한 정보이며 최종 조건은 공식 원문을 확인하세요.
한 줄 요약
NVIDIA Deep Learning Applications Engineer — NVIDIA · Korea, Seoul · Full time. 현재 상태: 진행·예정.
정보 갱신일 2026-10-21
조건·일정 확인
- 기관·대학
- NVIDIA
- 지역·근무지
- Korea, Seoul
- 고용 형태
- Full time
- 학력
- 학사 이상
담당 업무
- Design and deploy LLM/VLM-powered agents for use cases across the autonomous driving stack, including automated bug diagnosis and triaging flows.
- Develop and optimize innovative deep learning models for robotics and ADAS systems.
- Build workflows, models, and simulations to productize NVIDIA driver assistance capabilities.
- Develop agentic workflows for SIL and HIL solutions and integrate them with validation and test infrastructure.
- Collaborate with solutions architecture, validation, firmware, and customer-facing teams to deliver features from prototype through SIL/HIL toward production readiness.
- BS/MS or higher in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience).
- 2+ years of relevant professional software engineering experience.
- Demonstrated work in AI/ML, automation, test infrastructure, or platform/tooling
- Hands-on experience on embedded systems in automotive-related platforms (e.g., in-vehicle ECU/SoC stacks, ADAS, IVI, AUTOSAR/Linux-based automotive software, automotive validation/SIL/HIL, or OEM/Tier-1 environments). Ability to read embedded logs, understand hardware–software constraints, and collaborate with firmware and validation engineers.
- Solid proficiency with modern LLM/VLM APIs, prompt engineering, and agent frameworks (e.g., LangChain, AutoGen, CrewAI, or custom orchestration).
- Strong proficiency in Python (agent orchestration, tooling, data pipelines) and working proficiency in C/C++ to read embedded code, interpret logs, and collaborate with firmware/validation teams.
- Practical experience with Git, Docker, CI/CD, and test or verification frameworks used for automated software validation.
공식 출처와 다음 단계
공식 원문 확인공식 지원·접수 페이지원천 정보 갱신: 2026. 10. 21. PM 5:06
본문에 없는 자격·금액·일정은 임의로 보완하지 않습니다. 원문과 담당 기관에서 확인하세요.
도구에서 보기·관심 저장관련 정보
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