NVIDIA

Solutions Architect, Generative AI

Saudi Arabia

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data & Analytics, High-Performance ComputingIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full time
  • Salary: Not specified

NVIDIA is seeking AI Solutions Architects to support academic and enterprise customers in leveraging NVIDIA products for generative AI, Agentic AI, and data analytics. These architects will be the primary technical contacts, requiring strong interpersonal skills and a deep understanding of AI applications and accelerated computing. They will be instrumental in integrating NVIDIA technology into customer IT infrastructures, focusing on performance at scale.

Requirements

  • Education: MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
  • Experience: 5+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow.
  • Technical Skills:
    • Experience with Large Language Models (LLM) training and fine-tuning.
    • Experience with DL frameworks, training multi-node, fine-tuning, and deploying Generative AI and foundation models.
    • Passion for accelerated computing.
  • Soft Skills:
    • Action oriented with strong analytical skills.
    • Strong organization and time management skills.
    • Self-motivated, independent, and able to work independently with minimal day-to-day direction.
    • Strong collaboration and social skills.
  • Other Experience: Significant experience in High-Performance Computing or Deep Learning.

Responsibilities

  • Act as an inspiring leader in integrating NVIDIA technology into IT infrastructures, focusing on performance at scale.
  • Collaborate with business managers to craft customer vision and strategies.
  • Become an expert and enable developers to adopt NVIDIA Generative AI platform for their enterprise applications and services.
  • Influence industry executives and leaders by articulating the business value of Generative and Agentic AI.
  • Interact with end-users, data scientists, and developers to understand their goals and needs, and define and deliver high-value solutions.
  • Identify gaps and propose/develop prototypical solutions.
  • Partner closely with other Solutions Architects, engineering, product, and business teams at NVIDIA to build GenAI full stack solutions for industry verticals and enterprise use cases.

Application Instructions

  • Not specified in the provided text.

Company Information

  • Company: NVIDIA
  • Description: NVIDIA has been redefining computer graphics and accelerated computing for 30 years. They are focused on leveraging AI to define the next era of computing. They foster a diverse and supportive environment for their employees.

Skills

Deep Learning frameworks
PyTorch
TensorFlow
Large Language Models (LLM)
Model training and fine-tuning
Generative AI
Foundation models
Accelerated computing
High-Performance Computing
Data analytics
Interpersonal skills
Analytical skills
Organization and time management
Self-motivation
Collaboration
Social skills

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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