Senior Solutions Architect 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, Machine Learning, High Performance ComputingIndustries

Requirements

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience
12+ years of Solutions Architect or similar technical pre-sales roles
Strong sense of achievement, customer oriented demeanor, and skills to drive technical pre-sales activities
Practical knowledge of sophisticated networking for AI data centers, including InfiniBand and Ethernet fabric topologies, RDMA protocols, host networking and switches
Experience with end-to-end network performance debugging - hosts, switches, and optics
Effective time management and capable of balancing multiple tasks
Ability to communicate ideas clearly through documents, presentations, etc

Responsibilities

Working with Cloud Providers and Hyperscalers to develop and demonstrate networking solutions based on NVIDIA groundbreaking networking hardware
Partner with Sales Account Managers to identify and secure business opportunities for NVIDIA networking products and solutions
Work with customers on POCs for AI fabric solutions to address critical business needs
Conduct regular technical customer meetings for intro to new technologies and products, feature discussions, workshops and performance debugging sessions
Provide recommendations to business and engineering teams on product strategy

Skills

Key technologies and capabilities for this role

InfiniBandEthernetRDMASwitchesOpticsNetwork Performance DebuggingAI FabricHost NetworkingHPCMachine Learning

Questions & Answers

Common questions about this position

What is the base salary range for this Senior Solutions Architect position?

The base salary range is 224,000 USD - 356,500 USD, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this role?

You will be eligible for equity and benefits.

Is this position remote or does it require office work?

This information is not specified in the job description.

What are the key required skills for this Solutions Architect role?

Candidates need 12+ years in Solutions Architect or similar technical pre-sales roles, practical knowledge of sophisticated networking for AI data centers including InfiniBand and Ethernet fabric topologies, RDMA protocols, host networking and switches, and experience with end-to-end network performance debugging.

What makes someone stand out as a candidate for this position?

Hands-on experience with NVIDIA Ethernet and InfiniBand networking hardware, NICs/HCAs and switches, RDMA and TCP protocol stacks, understanding of system hardware architecture impact on network performance, large-scale GPU infrastructure deployments, and experience designing and debugging Ethernet/InfiniBand networks 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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