NVIDIA

Solutions Architect - Cloud Providers and Hyperscale

Santa Clara, California, United States

$148,000 – $287,500Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, AI & Machine Learning, High Performance ComputingIndustries

Solutions Architect - AI, ML, HPC

Position Overview

  • Location Type: Remote
  • Employment Type: Full time
  • Salary: $148,000 - $287,500 USD (Base Salary)
  • Job Focus: AI, Machine Learning, and HPC for Hyperscale and Cloud Providers

NVIDIA is seeking a Solutions Architect with expertise in AI, Machine Learning, and HPC to lead technical engagements with customers integrating, optimizing, and applying NVIDIA’s hardware and software technologies. This role involves collaborating with major companies developing innovative AI solutions, leveraging both NVIDIA and cloud technologies.

Requirements

  • Education: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related field, or equivalent experience.
  • Experience: 5+ years of Solutions Engineering (or similar Sales Engineering) experience.
  • Technical Skills:
    • Familiarity with Python and scripting languages.
    • Familiarity with AI frameworks.
    • Understanding of cloud concepts (e.g., Database).
  • Soft Skills:
    • Motivation and skills to drive technical pre-sales activities.
    • Effective time management and ability to balance multiple tasks.
    • Clear communication skills (written and verbal), including the ability to create presentations and technical documentation.

Responsibilities

  • Lead technical engagements with customers integrating, optimizing, and applying NVIDIA’s hardware and software technologies.
  • Work closely with engineering and product teams to address customer challenges and bring NVIDIA solutions to market.
  • Serve as a trusted advisor to customers, understanding their environment, constraints, and business models to translate requirements into solutions.
  • Conduct regular technical customer meetings for project/product details, feature discussions, and debugging sessions.
  • Collaborate with customers to build Proof of Concepts (PoCs) for solutions.
  • Prepare and deliver technical content (presentations, workshops, etc.) to customers.

Application Instructions

  • NVIDIA accepts applications on an ongoing basis.
  • Interested candidates should submit their application through the NVIDIA careers website.

Company Information

  • Company: NVIDIA
  • Commitment: NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
  • Benefits: Includes equity and other benefits.

Skills

Python
Scripting Languages
AI Frameworks
Cloud Concepts
Technical Communication
Presentation Skills
Technical Documentation

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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