Solutions Architect - Accelerated Computing 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, High Performance ComputingIndustries

Requirements

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering/Science or equivalent experience
Motivation and skills to help drive technical pre-sales activities
5+ years of Solutions Engineering, Solutions Architecture or similar Sales Engineering experience
Practical knowledge of data center scale optimization - data center topologies, networking software optimization
Knowledge of software development - specifically Python, scripting, etc
Ability to communicate ideas clearly through documentation, presentations, customer meetings, etc

Responsibilities

Work with NVIDIA Cloud Service Providers and NVIDIA Cloud Partners on accelerated computing and performance optimization problems
Guide customers through their journey from cluster and application deployment as well as optimization towards large-scale AI training and inference and HPC
Build custom product demonstrations and PoCs for solutions addressing critical customer business needs as well as analyze, debug and optimize customer workloads
Conduct regular technical customer meetings for project/product details, feature discussions, introductions to new technologies
Prepare and deliver technical content to customers at workshops, conferences, etc

Skills

Key technologies and capabilities for this role

AIMachine LearningHPCPerformance OptimizationPythonScriptingNetworkingData Center OptimizationCloud ComputingSolutions Architecture

Questions & Answers

Common questions about this position

What is the salary range for this Solutions Architect position?

The base salary range is 148,000 USD - 287,500 USD, determined based on location, experience, and pay of employees in similar positions. Candidates are also eligible for equity and benefits.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Required qualifications include a BS/MS/PhD in a relevant engineering or science field, 5+ years in Solutions Engineering or similar, knowledge of data center scale optimization and networking, software development skills like Python and scripting, and strong communication abilities.

What does the team or work environment look like at NVIDIA for this role?

This information is not specified in the job description.

What makes a candidate stand out for this Solutions Architect position?

Stand out with external customer-facing experience, hands-on AI application development using NVIDIA GPUs/software with performance optimization like NCCL, cloud experience, GPU systems expertise in AI workflows and benchmarking, and strong time management for multiple tasks.

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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