NIM Solution Architect at NVIDIA

Guangzhou, Guangdong Province, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, HPCIndustries

Requirements

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
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 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

Responsibilities

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 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

Skills

Key technologies and capabilities for this role

NVIDIA NIMTensorRTONNX RuntimeLLMVLMAI workflowscontainerizationinference frameworksagentic AIHPCNVAIE

Questions & Answers

Common questions about this position

What experience and skills are required for the NIM Solution Architect role?

Candidates need 3+ years of experience with a Bachelor's or Master's in Computer Science, AI, or related field, proven experience deploying and optimizing large language models, proficiency in inference frameworks like TensorRT or PyTorch, strong Python or C++ skills, familiarity with inference engines like vLLM, and DevOps/MLOps experience with Docker, Git, and CI/CD.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the company culture like at NVIDIA for this role?

Employees are passionate about AI, HPC, visual, and gaming, with the Solution Architect team focused on bringing NVIDIA technology to industries, designing AI platforms, and collaborating with cross-functional global teams.

What makes a candidate stand out for this NIM Solution Architect position?

Stand out with experience in architectural design for field LLM projects, expertise in TensorRT model optimization, knowledge of AI workflow design, cluster resource management, agile methodologies, and CUDA optimization for large-scale HPC systems.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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