Senior Solutions Architect, Networking - Hyperscale 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

Technology, AI, HPC, CloudIndustries

Requirements

Bachelor’s degree or higher in Electrical/Computer Engineering or related field (or equivalent experience)
12+ years of Solutions Engineering or similar engineering experience
Passion to enhance customer experience
Proficiency in networking fundamentals, including NICs, server systems, data center architecture, switching, routing, networking protocols, and data center architecture
Comprehensive knowledge of computer system architecture, Linux, PCIe devices as it relates to networking performance
Experience in configuring, testing, and troubleshooting in networking environments
Ability to work independently and manage multiple priorities
Excellent communication skills to act as a trusted advisor to customers

Responsibilities

Introduce and integrate NVIDIA networking products with Hyperscalers
Build customers’ trust and understand their unique needs
Address sophisticated and obvious customer issues alongside engineering and support teams
Conduct technical meetings for project/product details, feature discussions, and debugging sessions
Partner with Sales and Product teams to identify and secure business opportunities, analyze network requirements, and designs next-gen AI platforms
Develop Proof of Concept (PoC) solutions for critical business needs
Prepare and deliver technical presentations and workshops to customers

Skills

Networking

NICs

Data Center Architecture

Switching

Routing

Networking Protocols

Linux

PCIe

SONiC

FBOSS

Solutions Engineering

Troubleshooting

Proof of Concept

AI Platforms

HPC Systems

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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