Solutions Architect, Hyperscale 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, High Performance Computing, TechnologyIndustries

Requirements

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other equivalent engineering fields (or equivalent experience)
5+ years of Solutions Engineering or similar experience in AI-related fields
Passion for enhancing customer experience
Proficiency in AI, ML and HPC applications
Comprehensive knowledge of computer system architecture including PCIe, networking, etc. and their impact on AI application performance
Experience in designing, running and troubleshooting performance benchmarks for AI systems including GPU and multi-node systems
Ability to work independently and manage multiple priorities
Excellent communication skills to act as a trusted advisor to customers

Responsibilities

Develop and demonstrate AI software and hardware solutions with Hyperscalers
Build customers’ trust and understand their unique needs
Be the go-to technical resource for customers building complex infrastructure as well as help them understand performance characteristics for the best solution
Partner with Sales or Developer Relations and Product team to identify and secure business opportunities for NVIDIA products and solutions
Conduct technical meetings for project/product details, feature discussions, and debugging sessions
Develop Proof of Concept (PoC) solutions for critical business needs
Prepare and deliver technical presentations and workshops to customers
Address and optimize customer AI systems performance issues

Skills

HPC

GPU

PCIe

Networking

Computer Architecture

Performance Benchmarks

Multi-node Systems

Troubleshooting

Proof of Concept

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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