서울 강남구 테헤란로 534글라스타워 13층
Driving decarbonization and digitalization. Together.
Semiconductors are crucial to solve the energy challenges of our time and shape the digital transformation. This is why Infineon is committed to actively driving decarbonization and digitalization. As a global semiconductor leader in power systems and IoT, we enable game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. In the 2022 fiscal year (ending 30 September), Infineon reported revenue of more than €14 billion with a workforce of some 56,200 people worldwide. Infineon is listed on the Frankfurt Stock Exchange (ticker symbol: IFX) and in the USA on the over-the-counter market OTCQX International Premier (ticker symbol: IFNNY).
인피니언 테크놀로지스는 전력 시스템 및 IoT 분야의 글로벌 반도체 리더입니다. 인피니언의 제품 및 솔루션은 탈탄소화 및 디지털화를 선도합니다. 2022년 회계년도 (9월 30일 마감) 기준 전 세계 약 56,200명의 직원들과 함께 142억 유로 매출을 달성하였습니다. 인피니언은 프랑크푸르트 증권거래소 (거래 심볼: IFX)와 미국 장외시장 OTCQX International Premier (거래 심볼: IFNNY)에 등록되어 있습니다.
Semiconductors are crucial to solve the energy challenges of our time and shape the digital transformation. This is why Infineon is committed to actively driving decarbonization and digitalization. As a global semiconductor leader in power systems and IoT, we enable game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. In the 2022 fiscal year (ending 30 September), Infineon reported revenue of more than €14 billion with a workforce of some 56,200 people worldwide. Infineon is listed on the Frankfurt Stock Exchange (ticker symbol: IFX) and in the USA on the over-the-counter market OTCQX International Premier (ticker symbol: IFNNY).
인피니언 테크놀로지스는 전력 시스템 및 IoT 분야의 글로벌 반도체 리더입니다. 인피니언의 제품 및 솔루션은 탈탄소화 및 디지털화를 선도합니다. 2022년 회계년도 (9월 30일 마감) 기준 전 세계 약 56,200명의 직원들과 함께 142억 유로 매출을 달성하였습니다. 인피니언은 프랑크푸르트 증권거래소 (거래 심볼: IFX)와 미국 장외시장 OTCQX International Premier (거래 심볼: IFNNY)에 등록되어 있습니다.
지원분야
모집부문
Internship -Edge AI Internship -Edge AI
Internship -Edge AI Internship -Edge AI
업무내용
Your role
Key responsibilities in your new role
(6 Months Internship)
Edge AI development: Support the development and testing of Edge AI reference solutions
Model integration: Convert trained machine learning models and integrate them into embedded firmware
Data collection: Support data collection and basic preprocessing for model development
Pipeline integration: Help integrate data and models into the AI pipeline
System validation: Assist with system integration and validation across hardware and software layers
Your role
Key responsibilities in your new role
(6 Months Internship)
Edge AI development: Support the development and testing of Edge AI reference solutions
Model integration: Convert trained machine learning models and integrate them into embedded firmware
Data collection: Support data collection and basic preprocessing for model development
Pipeline integration: Help integrate data and models into the AI pipeline
System validation: Assist with system integration and validation across hardware and software layers
고용형태
인턴
인턴
모집인원
0명
0명
지원 자격
학력
대재(4년제)
대재(4년제)
직무관련
Your profile
(Qualifications and skills to help you succeed)
Education: Mandatory bachelor’s degree or above in Electrical Engineering Computer Engineering or a related field
Embedded systems: Mandatory hands-on experience with embedded systems development
Programming: Mandatory project experience in C or C++ or Python
Machine learning: Preferred basic knowledge of machine learning concepts and frameworks
Signal processing: Nice-to-have understanding of DSP or signal processing concepts
Real time systems or low power: Nice-to-have experience with RTOS or low power embedded design
Your profile
(Qualifications and skills to help you succeed)
Education: Mandatory bachelor’s degree or above in Electrical Engineering Computer Engineering or a related field
Embedded systems: Mandatory hands-on experience with embedded systems development
Programming: Mandatory project experience in C or C++ or Python
Machine learning: Preferred basic knowledge of machine learning concepts and frameworks
Signal processing: Nice-to-have understanding of DSP or signal processing concepts
Real time systems or low power: Nice-to-have experience with RTOS or low power embedded design
지원서접수
지원방법
홈페이지 지원
홈페이지 지원
접수기간
10월 20일 09:57 ~ 12월 03일 23:57
(채용시 조기 마감될 수 있습니다)
10월 20일 09:57 ~ 12월 03일 23:57
(채용시 조기 마감될 수 있습니다)
담당자
인사담당자
인사담당자
문의처
02-3460-0883 [email protected]
02-3460-0883 [email protected]
이력서
영문
영문
전형절차
1차 서류전형
2차 면접전형
* 마감일은 기업의 사정으로 인해 조기 마감 또는 변경될 수 있습니다
