Solutions Architect - Financial Service and Retail at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, RetailIndustries

Requirements

3+ years’ experience with research/development/application of Machine Learning, data analytics, or computer vision workflows
Outstanding verbal and written communication skills
Ability to work independently with minimal day-to-day direction
Knowledge of industry application hotspots and trends in AI and large models
Familiarity with large model-related technology stacks and common inference/training optimization methods
C/C++/Python programming experience
Desire to be involved in multiple diverse and innovative projects
Experience using scale-out cloud and/or HPC architectures for parallel programming
MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology or equivalent experience

Responsibilities

Conduct in-depth analysis of customers' latest needs and co-develop accelerated computing solutions with key customers
Assist in supporting industry accounts and driving research/influencing/new business in those accounts
Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team
Understand and analyze customers' workloads and demands for accelerated computing, including but not limited to: LLM training/inference acceleration and optimization, application optimization for Agent AI/RAG, kernel analysis, etc
Assist customers in onboarding NVIDIA's software and hardware products and solutions, including but not limited to: CUDA, TensorRT-LLM, NeMo Framework, etc
Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications
Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community

Skills

Key technologies and capabilities for this role

Machine LearningData AnalyticsComputer VisionAIHPCCUDATensorRT-LLMNeMo FrameworkC/C++LLMRAGDeep Learning

Questions & Answers

Common questions about this position

What experience is required for the Solutions Architect role?

Candidates need 3+ years’ experience with research/development/application of Machine Learning, data analytics, or computer vision workflows, along with C/C++/Python programming experience, outstanding communication skills, and ability to work independently.

What are the standout skills for this position?

Ways to stand out include AIGC/LLM/NLP experience, CUDA optimization experience, experience with Deep Learning frameworks and tools, engineering in model acceleration and kernel optimization, and extensive experience designing large scale HPC and enterprise systems.

What is the salary or compensation for this role?

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 education is needed for this Solutions Architect position?

An MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology or equivalent experience is 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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