Senior Solution Architect at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

BS, MS, or PhD
Experience with GPU, DPU, Linux, CUDA, DL, ML
3+ years of work-related experience in software development, CUDA or deep learning frameworks
Strong engineering foundation in computer vision and deep learning
Deep understanding of LLM training and inference
Clear written and oral communication skills with the ability to efficiently collaborate with management and engineering
Excellent planning skills, while being dedicated with a focus on execution and quality
Strong analytical and problem-solving skills

Responsibilities

Presenting NVIDIA’s full stack Artificial Intelligence solutions, and end to end platform technology to customers and partners
In-depth hands-on engagements with customers or NVIDIA partners on complicated Datacenter projects
Assist field business development in guiding the customer through the sales process for NVIDIA solution
Understand and analyze customer requirements, support the solution design and development of applications
Team work across the company to guide the direction of accelerated computing, working with software, research, and product teams
Document the learnings to guide others (e.g., making targeted training for customers and other Solutions Architects, giving hands-on demos, writing whitepapers, blogs, and wiki articles, recording short videos, working through hard problems with a partner on a whiteboard)

Skills

Key technologies and capabilities for this role

GPUDPULinuxCUDADeep LearningMachine LearningComputer VisionLLMDatacenter

Questions & Answers

Common questions about this position

What experience is required for the Senior Solution Architect role?

Candidates need a BS, MS, or PhD, plus 3+ years of work-related experience in software development, CUDA, or deep learning frameworks, along with experience in GPU, DPU, Linux, CUDA, DL, ML, and a strong foundation in computer vision and deep learning with understanding of LLM training and inference.

What is the salary for this position?

This information is not specified in the job description.

Is this a remote position, or where is it located?

The role involves working closely with industry customers in the China region, but specific details on remote work or location type are not provided.

What skills will help me stand out for this role?

Experience with VLM, world model development and hands-on, familiarity with robotics simulation and robot learning workflow, passion for providing mentorship, issue debugging and building repeatable environments, and capability to solve problems in unfamiliar areas will make you stand out.

What soft skills are needed for this position?

Strong written and oral communication skills for collaborating with management and engineering, excellent planning skills with dedication to execution and quality, and strong analytical and problem-solving skills are required.

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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