Senior Solutions Architect, NVIDIA Cloud Partners at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Cloud ComputingIndustries

Requirements

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience
Motivation and skills to own and drive technical engagements with customers throughout full customer life-cycle
8+ years of Solutions Engineering (or similar Sales Engineering, Cloud Engineering) experience working directly with partners and customers
Experience crafting and deploying large-scale cluster environments
Practical expertise in data center design, development and execution for AI and HPC
Efficient time management and capable of balancing multiple tasks
Ability to communicate ideas clearly through documents, presentations, etc

Responsibilities

Collaborating with NVIDIA Cloud Partners to create, implement, and put into operation NVIDIA's innovative hardware and software solutions
Partner with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions
Act as the primary technical support for customers during the development, construction and production of extensive GPU cloud infrastructure through whole customer lifecycle
Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions
Work with customers to build PoCs for solutions to address critical business needs by building out networking and compute infrastructure
Prepare and deliver technical content to customers including presentations, workshops, etc
Analyze and develop joint solutions for customer performance and scaling issues

Skills

Key technologies and capabilities for this role

AIGenerative AILarge Language ModelsLLMsGPUAccelerated ComputingDeep LearningNVIDIACloud InfrastructureNetworkingCompute InfrastructurePerformance AnalysisInference SoftwarePoCs

Questions & Answers

Common questions about this position

What experience level is required for this Senior Solutions Architect role?

The role requires 8+ years of Solutions Engineering (or similar Sales Engineering, Cloud Engineering) experience working directly with partners and customers.

What education is needed for this position?

A BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience is required.

Is this role remote or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What skills can help me stand out as a candidate?

Practical familiarity with NVIDIA hardware such as GPUs, ETH/IB networking components, storage in AI and HPC cluster settings, and knowledge of NVIDIA systems technology like NCCL, DCGM, UFM, Mission Control, and Base Command Manager will help you stand out.

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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