NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA leads the computing future, guided by our dedication to innovation and quality. As a NIM Solution Architect, you will help build AI computing, applying NVIDIA's advanced technologies to optimize models, develop AI workflows, and support customers with advanced solutions.
What You’ll Be Doing:
Drive the implementation and deployment of NVIDIA Inference Microservice (NIM) solutions
Apply NVIDIA NIM Factory Pipeline to package optimized models (including LLM, VLM, Retriever, CV, OCR, etc.) into containers, providing standardized API access for on-prem or cloud deployment
Refine NIM tools for the community, aiding them in building high-performing NIMs
Build 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 mentorship to customers, facilitating the adoption and implementation of NVIDIA technologies and products
Collaborate with multi-functional teams to develop and broaden our AI solutions portfolio
Be an internal advocate for NVIDIA software and total solutions within the technical community
Position yourself as an inspiring leader in the industry by incorporating NVIDIA technology, especially inference services, into LHA, business partners, and the broader community and Assist in supporting the NVAIE team and driving NVAIE business in China
What We Need To See:
5+ years of experience.
Bachelor's or equivalent experience in Computer Science, Artificial Intelligence, or a relevant field.
Proven experience in deploying and optimizing large language models. Proficiency in at least one inference framework (e.g., TensorRT, ONNX Runtime, PyTorch)
Strong programming skills in Python or C++. Familiarity with mainstream inference engines (e.g., vLLM, SGLang)
Experience with DevOps/MLOps, including Docker, Git, and CI/CD practices
Excellent problem-solving skills and the ability to solve complex technical issues
Proven ability to collaborate effectively across diverse, global teams, adapting communication styles while maintaining clear, constructive professional interactions
Experience in architectural build for field LLM project. Expertise in model optimization techniques, particularly using TensorRT
Knowledge of AI workflow development and implementation, and experience with cluster resource management tools. Familiarity with agile development methodologies
CUDA optimization experience and extensive experience in crafting and deploying large-scale HPC and enterprise computing systems
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
