- Develop and maintain the infrastructure for managing large language models (LLMs) based application specifically adapted for the chip design and hardware domain.
- Develop and maintain LLM based applications to serve hardware engineers, such as LLM based QA bot, code generator etc.
- Collaborate with HW chip designers and LLM research teams to understand the specific needs and challenges of GPU design and ensure the LLM infrastructure is well-suited to these needs.
- Collaborate with LLM research teams to collect & organize training / fine-tuning data to train hardware specific language model
- Optimize the infrastructure for performance, scalability, and reliability, and ensure the secure and efficient management of data.
- Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.
- Bachelor's or higher degree in Computer Science, Computer Engineering or related major.
- Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models.
- Strong proficiency in Python and web development, and familiarity with LLM related techniques e.g., langchain, vector database, prompt engineering, etc.
- Understanding of chip design and related computational and data challenges.
- Experience with data management, including doc cleaning, transformation, and secure storage.
- Excellent problem-solving skills and the ability to work effectively in a team.
- In depth understanding of Machine Learning / Deep Learning / NLP concepts.
- You crafted & developed production quality microservices
- Strong technical background in cloud/distributed infrastructure
- An excellent plus if you are familiar with front-end development using React or
- Strong understanding of SQL & NoSQL Data platforms.
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Machine Learning Platform Software Engineer Intern - Shanghai, 中国 - NVIDIA
描述
NVIDIA is seeking a highly skilled and experienced Large Language Model (LLM) based Application Infrastructure engineer to join our growing team. The successful candidate will work at the intersection of GPU chip design and AI, you will be responsible for the design, development, and maintenance of the infrastructure around Nvidia's internal large language model aimed at facilitating chip design.
What you'll be doing:
What we need to see:
Ways to stand out from the crowd:
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you
