Full-Time

Senior AI Instructor

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

$160k - $270.3kAnnually

+ Equity

Senior, Expert

Remote in USA + 1 more

More locations: Remote in Canada

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Kubernetes
Microsoft Azure
Python
CUDA
Git
Docker
AWS
Google Cloud Platform
Requirements
  • Proficiency in delivering training and presentations, with the ability to effectively communicate technical concepts to partner audiences.
  • Demonstrated ability to manage the buyer's journey and recommend accelerated computing solutions. Familiarity with tools such as SLURM, Kubernetes, Docker containers, Git, Python, CUDA, RAPIDS, and cloud service providers (AWS, Azure, GCP) is essential.
  • A bachelor's degree in computer science, mathematics, engineering, or equivalent experience.
  • Minimum 12 years of field experience, with at least 5 years in data center-related technologies supporting AI such as storage, networking, or accelerated computing. Training delivery experience is required.
  • Strong communication, interpersonal, and writing skills in English.
  • Ability to work multi-functionally across different levels of a matrixed organization.
Responsibilities
  • Conduct face-to-face and remote training sessions for NVIDIA’s customers and partners, with a willingness to travel up to 75% as required.
  • Develop training materials based on NVIDIA's innovative AI and data center technologies and sales motions.
  • Collaborate with internal and external subject matter experts (SMEs) to draft course proposals aligned with market trends and customers' requirements.
  • Recruit and train internal team members to deliver specific sessions of workshops.
  • Collaborate with SMEs to integrate key features of NVIDIA solutions into project-based learning experiences.
  • Develop instructor delivery notes, certification criteria, and assessment materials.
  • Participate in internal test deliveries to ensure high-quality learning experiences. Actively seek feedback from students, and industry partners to enhance course content.
Desired Qualifications
  • Experience in delivering and developing in-depth training for selling audiences.
  • Proven experience in Sales roles.
  • A master's degree in business, computer science, mathematics, engineering, or equivalent level of expertise and experience.

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 clients to achieve immersive experiences and drive advancements in their respective fields.

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