Senior Solution Architect - AI Development

Senior Solution Architect - AI Development

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. We’re tapping into AI to define the next era of computing, where GPUs act as the brains of everything from robots to self-driving cars. As a Senior Solution Architect, you’ll help build AI computing, applying NVIDIA’s advanced technologies to optimize models, develop AI workflows, and support customers with advanced solutions.

• 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 while supporting the NVAIE team and driving NVAIE business in China

• 7+ years of experience.
• Bachelor’s degree 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., Tensor
  
  RT, ONNX Runtime, PyTorch)
• Strong programming skills in Python or C++. Familiarity with mainstream inference engines (e.g., vLLM, SGLang)
• Experience with Dev Ops/MLOps, including Docker, Git, and CI/CD practices
• Excellent problem-solving skills and 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 projects, 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

Seniority level:
Mid-Senior level

Employment type:

Full-time
Job function:
Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing