Senior Solution Architect – AI Development

October 13

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• 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 incorporating NVIDIA technology, especially inference services, into LHA, business partners, and the broader community • Assist in supporting the NVAIE team and driving NVAIE business in China

🎯 Requirements

• 7+ 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.

🏖️ Benefits

• Health insurance • Flexible working hours • Professional development opportunities