Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 3 CI/CD @ 3 Algorithms @ 6 MLOps @ 3 Dashboarding @ 3 API @ 3 System Architecture @ 3 NLP @ 3 LLM @ 3 PyTorch @ 3 ChatGPT @ 3 GPU @ 3Details
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
NVIDIA’s deep learning enterprise server platforms have made major impact to various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these unique opportunities in deep learning cloud solutions.
Responsibilities
- Design, enhance and implement cluster monitoring infrastructure for NVIDIA's deep learning enterprise server platforms; collaborating with engineering teams across the company to implement python scripts, database and dynamic reports.
- Learn about out of band management for server systems, time series databases, dashboarding tools.
- Develop and deploy tools that would be used by wider teams at NVIDIA as we design next generation deep learning platforms.
- Interact with diverse technical groups, spanning all organizational levels.
Requirements
- Pursuing BS, MS, or PhD in Electrical Engineering, Computer Science or related field.
- Proficiency in Python programming.
- Experience building and maintaining scalable API solutions.
- Previous experience with Natural Language Processing (NLP) and understanding of Large Language Models (LLM)/GenAI technologies such as OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch or similar.
- Familiarity with prompt engineering and vector databases.
- Prior experience with MLOps and/or CI/CD pipeline development, containerization, model deployment in test and production environments.
Ways to Stand Out from the Crowd
- Understanding of system architecture concepts.
- Deep knowledge of a specific domain or industry, with a focus on NLP/LLM.
- Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development.
- Ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders.
Benefits
- Hourly rate for interns ranges from 18 USD to 71 USD, determined based on position, location, year in school, degree, and experience.
- Eligibility for NVIDIA intern benefits.
NVIDIA is committed to fostering a diverse work environment and prides itself on being an equal opportunity employer. Diversity is highly valued and no discrimination is practiced based on legally protected characteristics.