Full-Time

Senior AI Instructor

Sales

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

Senior

Remote in UK

Category
Applied Machine Learning
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 an equivalent level of expertise and experience.
  • Minimum 8 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.

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.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's investment in Ayar Labs boosts scalable AI infrastructure with optical interconnect solutions.
  • Acquiring VinBrain enhances NVIDIA's AI capabilities in healthcare and smart city applications.
  • Participation in Nebius Group's funding expands NVIDIA's AI infrastructure across continents.

What critics are saying

  • Increased competition from Ayar Labs challenges NVIDIA's AI hardware market position.
  • VinBrain acquisition may face integration challenges, affecting operational efficiency.
  • Investment in Nebius Group could lead to internal competition for resources and market share.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU and SoC technologies.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's cloud services, like CloudXR, enhance scalable AI and machine learning applications.

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