Full-Time

Solutions Architect

Cloud Providers and Hyperscale

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$148k - $287.5kAnnually

+ Equity

Senior

Washington, USA + 2 more

More locations: California, USA | Santa Clara, CA, USA

Hybrid role requiring in-office presence.

Category
Solution Engineering
Sales & Solution Engineering
Requirements
  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
  • 5+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
  • Experience building and/or deploying large-scale cluster environments.
  • Practical knowledge in building data center scale systems for AI and HPC.
  • Effective time management and capable of balancing multiple tasks.
  • Ability to communicate ideas clearly through documents, presentation, etc.
Responsibilities
  • Working with Cloud Providers and Hyperscalers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
  • Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
  • Be the go-to technical resource for customers building cloud infrastructure.
  • 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.
  • Help develop overall plans and blueprints for customers developing their own cloud infrastructure.
  • Prepare and deliver technical content to customers including presentations, workshops, etc.
  • Analyze and develop solutions for customer networking performance issues.
Desired Qualifications
  • External customer facing skill-set and background.
  • Hands-on experience with NVIDIA networking hardware, both Ethernet and Infiniband, NICs/HCAs and switches, and networking software stacks.
  • Hands on experience with GPU systems in general including but not limited to performance testing, AI benchmarking, etc.
  • Able to think creatively to debug and solve problems.
  • Large-scale GPU infrastructure deployments with TCP and/or RDMA including cloud infrastructure deployments.

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA differentiates itself from competitors by focusing on advanced technology and continuous innovation, ensuring their products meet the evolving needs of users. The company's goal is to lead in AI and HPC solutions, providing powerful tools and services that enable immersive experiences and drive advancements across multiple industries.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match