NVIDIA System Software Engineer for Conversational AI Development
2 weeks ago
NVIDIA is at the forefront of the AI revolution, driving technological advancements and innovation worldwide. We're looking for a System Software Engineer to join our team and contribute to the development of powerful, flexible, multi-modal AI agents driven by Large Language Models (LLMs).
Key Responsibilities:
- Design, implement, and optimize GPU-accelerated scalable Retrieval Augmented Generation (RAG) workflow to improve the experience of millions of customers.
- Develop a scalable microservice-based architecture deployable on multi-node, multi-cloud environments.
- Design and implement domain-specific agents and workflows, and a framework to support multi-turn, multi-modal, multi-user conversations with LLM-driven agents.
- Analyze RAG and conversational AI agent end-to-end accuracy and limitations, recommending the next course of action and improvements.
- Characterize performance and quality metrics across platforms for various AI and system components.
- Collaborate with various teams on new product features and improvements of existing products, customizing and integrating the conversational AI framework with other NVIDIA products.
Requirements:
- Bachelor's degree or Master's degree (or equivalent experience) in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math.
- 8+ years of experience.
- Excellent programming skills in Python.
- Knowledge of Large Language Model applications.
- Familiarity with microservices, Docker, Helm, Kubernetes, and GPU-based technologies like CUDA, CuDNN, and TensorRT.
- Experience in deploying machine learning models on data center, cloud, and embedded systems.
- Strong collaborative and interpersonal skills, with a proven ability to guide and influence within a dynamic environment.
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