Nvidia Solution Architect Intern AI Industry - 

China, Beijing, Beijing 

901718159

What you’ll be doing:

• Drive the implementation and deployment of NVIDIA Inference Microservice (NIM) solutions

• Use NVIDIA NIM Factory Pipeline to package optimized models (including LLM, VLM, Retriever, CV, OCR, etc.) into containers providing standardized API access

• Refine NIM tools for the community, help the community to build their performant NIMs

• Design and implement agentic AI tailored to customer business scenarios using NIMs

• Deliver technical projects, demos and customer support tasks

• Provide technical support and guidance to customers, facilitating the adoption and implementation of NVIDIA technologies and products

• Collaborate with cross-functional teams to enhance and expand our AI solutions

What we need to see:

• Pursuing Bachelor or Master in Computer Science, AI, or a related field; Or PhD candidates in ML Infra or data systems for ML.

• Proficiency in at least one inference framework (e.g., TensorRT, ONNX Runtime, PyTorch)

• Strong programming skills in Python or C++

• Excellent problem-solving skills and ability to troubleshoot complex technical issues

• Demonstrated ability to collaborate effectively across diverse, global teams, adapting communication styles while maintaining clear, constructive professional interactions

Ways to stand out from the crowd:

• Expertise in model optimization techniques, particularly using TensorRT

• Familiarity with disaggregated LLM Inference

• CUDA optimization experience, extensive experience designing and deploying large scale HPC and enterprise computing systems

• Familiarity with main stream inference engines (e.g., vLLM, SGLang)

• Experience with DevOps/MLOps such as Docker, Git, and CI/CD practices