Senior Solutions Architect, AI Infrastructure at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Technology, Data CentersIndustries

Requirements

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience
8+ years of Systems/Solution Engineering (or similar Engineering roles) experience
System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers
Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling)
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes
Effective time management and capable of balancing multiple tasks
Strong verbal/written communication skills and ability to share ideas/code clearly through documents, presentations, etc

Responsibilities

Work with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer
Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments
Visit customer data centers during bring up phase
Demonstrate subject matter expertise in advanced GPU & network systems and act as a trusted technical advisor to NVIDIA's strategic customers
Bring customer-specific requirements to product teams to guide product roadmap features
Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications
Work closely with the GPU/Network Systems Engineering, Product management and Sales teams
Conduct regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions
Build custom product demonstrations and POCs for solutions that address critical business needs of customers
Analyze and debug compute/network configuration, performance issues to deliver performant clusters

Skills

GPU

Networking

AI Infrastructure

Data Center

Systems Engineering

Cluster Deployment

Network Design

Compute

Storage

Debugging

Product Roadmap

POCs

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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