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Stages di Ingegneria in Beijing, Cina

1 – 6 di 6
Azienda non indicata | Beijing | Stage, Ingegneria, Inglese
“(COMPANY NAME) offers a Customer Engineer Internship in Beijing, Hefei, or Shanghai for 2027 undergrad/grad students. Role involves assisting senior engineers with equipment installation, maintenance, and troubleshooting in semiconductor industry. Full-time summer internship with potential conversion to full-time role. Requires relevant engineering/tech majors and strong English skills.”
Azienda non indicata | Beijing | Stage, Ingegneria, Inglese
“Internship in Service Engineering assisting diagnostic, electronic tools, and AI testing teams. Requires strong learning ability, communication skills, and basic problem-solving. Involves data processing, tool testing, and operational support.”
Azienda non indicata | Beijing | Stage, Ingegneria, Inglese
“(COMPANY NAME) offers a 4+ month AI Developer Technology Engineering Internship for MS/PhD students in CS/Engineering. Role involves deep learning, CUDA C/C++, and GPU optimization. Requires strong C/C++ and parallel programming skills. Remote work not specified.”
Azienda non indicata | Beijing | Stage, Ingegneria, Inglese
“(COMPANY NAME) offers a 12-month internship in Developer Technology Engineering for 2027. Work involves optimizing GPU algorithms, LLM frameworks (Megatron, TRTLLM), and distributed communication libraries (NCCL, NVSHMEM). Requires strong C/C++/Python skills, parallel programming, and HPC expertise. Based in multiple global locations.”
Azienda non indicata | Beijing | Stage, Ingegneria, Inglese
“(COMPANY NAME) offers a 12-month AI Developer Technology Engineering Internship for MS/PhD students in computer science or engineering. Focus on deep learning, GPU optimization, and CUDA C/C++. Work with world-class teams to develop AI solutions and influence next-gen architectures.”
Azienda non indicata | Beijing | Stage, Ingegneria, Inglese
“(COMPANY NAME) offers a 3-month internship for AI Developer Technology Engineers to work on LLM/AIGX/GR optimization, parallel programming (CUDA C/C++), and GPU performance analysis. Requires MS/PhD in CS/Engineering, strong AI algorithms knowledge, and 3 days/week availability.”
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