Solutions Architect, AI Infrastructure at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, Data CenterIndustries

Requirements

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields, or equivalent experience
5+ years of experience in Solution Engineering or similar roles
System-level understanding of server architecture, NICs, Linux, system software, and kernel drivers
Practical knowledge of networking - switching & routing for Ethernet/Infiniband, and data center infrastructure (power/cooling)
Familiarity with DevOps/MLOps technologies such as Docker/containers and Kubernetes
Effective time management and ability to balance multiple tasks
Excellent communication skills for articulating ideas and code clearly through documents and presentations

Responsibilities

Working with NVIDIA AI Native customers on data center GPU server and networking infrastructure deployments
Guiding customer discussions on network topologies, compute/storage, and supporting the bring-up of server/network/cluster deployments
Identifying new project opportunities for NVIDIA products and technology solutions in data center and AI applications
Conducting regular technical meetings with customers as a trusted advisor, discussing product roadmaps, cluster debugging, and new technology introductions
Building custom demonstrations and proofs of concept to address critical business needs
Analyzing and debugging compute/network performance issues

Skills

Key technologies and capabilities for this role

LinuxKubernetesDockerInfiniBandEthernetServer ArchitectureNICsKernel DriversSwitchingRoutingData Center InfrastructureMLOpsDevOpsGPUCluster DeploymentDebugging

Questions & Answers

Common questions about this position

What is the salary range for this Solutions Architect position?

The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What are the key required skills for this role?

Key requirements include a BS/MS/PhD in relevant fields or equivalent, 5+ years in Solution Engineering, system-level understanding of server architecture/NICs/Linux/kernel drivers, practical networking knowledge for Ethernet/Infiniband/data centers, and familiarity with DevOps/MLOps like Docker/Kubernetes.

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

NVIDIA's world-class team is dedicated to pushing AI and accelerated computing boundaries, fostering a diverse work environment as an equal opportunity employer.

What makes a candidate stand out for this Solutions Architect role?

Stand out with external customer-facing skills, experience deploying large clusters, proficiency in systems engineering/coding/debugging (C/C++, Linux kernel), hands-on NVIDIA tech (CUDA, DPU, RoCE, InfiniBand), and virtualization knowledge.

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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