NIM Solutions Architect

NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC, VISUAL, GAMING. Our Solutions Architect team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers. This role will be instrumental in leveraging NVIDIA's cutting-edge technologies to optimize open-source and proprietary large models, create AI workflows, and support our customers in implementing advanced AI solutions.  What you’ll be doing: Drive the implementation and deployment of NVIDIA Inference Microservice (NIM) solutions  Use NVIDIA NIM Tools or Factory Pipeline to package optimized models (including LLM, VLM, Diffusion, Retriever, CV, OCR, AI4Science etc.) into containers providing standardized API access for on-prem or cloud deployment  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 client support tasks as directed by the Solution Architecture Leadership  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 portfolio Be an internal champion for NVIDIA software and total solutions in technical community  Be an industry thought leader on integrating NVIDIA technology especially inference services into LHA, business partners and whole community  Assist in supporting NVAIE team and driving NVAIE business in China  What we need to see: 3+ years working experience with Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field  Proven experience in deploying and optimizing large language models  Familiarity with main stream inference engines or inference framework (e.g., SGLang, vLLM, TensorRT, or ONNX Runtime, PyTorch)  Strong programming skills in Python or C++  Experience with DevOps/MLOps such as Docker, Git, and CI/CD practices  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: Experience in AI performance engineering  Expertise in model optimization techniques Knowledge of AI workflow design and implementation; experience on cluster resource management tools CUDA optimization experience, extensive experience designing and deploying large scale HPC and enterprise computing systems  NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and creative people in the world working here! If you are driven by impact, passionate about enterprise AI, and inspired to shape the agentic AI at scale for NVIDIA’s Supply Chain Operations, we want to hear from you. Apply today!