Solutions Architect, DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud Computing, TechnologyIndustries

Requirements

Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science (or equivalent experience)
5+ years of proven experience with one or more Cloud Service Providers (AWS, Azure, GCP or OCI), NVIDIA Cloud Partners (CoreWeave, Lambda Labs, Crusoe, etc.) and cloud-native architectures and software
Demonstrated experience in technical leadership, strong understanding of NVIDIA technologies, and success in working with customers
Expertise with parallel filesystems (e.g. Lustre, GPFS, BeeGFS, WekaIO) and high-speed interconnects (InfiniBand, Omni Path, RoCE, and Gig-E)
Strong coding and debugging skills, and demonstrated expertise in one or more of the following areas: Machine Learning, Deep Learning, Slurm, Kubernetes, MPI, MLOps, LLMOps, Ansible, Terraform, and other high-performance AI cluster solutions
Proficient in deploying GPU applications in Slurm, Kubernetes, docker, helm, registries
Linux-based configuration management and monitoring solutions, system administration, OS installation, configuration, and troubleshooting
Networking technologies (e.g. router, firewall, load balancer, DNS, VPN) for complex infrastructure configuration

Responsibilities

Work closely with DGX Cloud Partners, become their trusted technical advisor, advocate for their needs, and ensure they are successful in accomplishing their business goals with the platform
Accelerate NVIDIA Cloud Partner onboarding time, cluster manageability and reliability
Scale knowledge, reach, and opportunities by building and educating vertical teams and communities on DGX Cloud and NVIDIA Reference Architectures
Communicate to our Reference Architecture teams findings gathered from the field
Provide technical education and facilitate field product feedback to improve DGX Cloud
Enable partners to participate in the DGX Cloud Ecosystem with the goal of end-user satisfaction and increased sales

Skills

Key technologies and capabilities for this role

AIGenerative AIDGX CloudNVIDIA AI EnterpriseCloud InfrastructureReference ArchitecturesCluster ManagementPartner OnboardingTechnical TrainingComputer Science

Questions & Answers

Common questions about this position

What education and experience are required for the Solutions Architect role?

A BS, MS, or Ph.D. in Engineering, Mathematics, Physics, Computer Science, Data Science (or equivalent) is required, along with 5+ years of experience with Cloud Service Providers like AWS, Azure, GCP, or OCI, and NVIDIA Cloud Partners.

What technical skills are essential for this position?

Expertise in parallel filesystems (Lustre, GPFS, BeeGFS, WekaIO), high-speed interconnects (InfiniBand, Omni Path, RoCE), and proficiency in Machine Learning, Deep Learning, Slurm, Kubernetes, MPI, MLOps, LLMOps, Ansible, Terraform, GPU applications, and Linux administration are required.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What does the team culture look like at NVIDIA's DGX Cloud SA Segment Team?

The team focuses on guiding successful adoption of DGX Cloud, collaborating with partners and internal teams, gathering feedback, optimizing onboarding, scaling knowledge through training and guides, and building reliable infrastructure to increase adoption.

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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