Technical AI Instructor

Germany

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Data Center, BiotechnologyIndustries

Requirements

Candidates must possess a Bachelor's degree or equivalent experience in computer science, mathematics, engineering, or a related field. A minimum of 5 years of technical field experience, with at least 5 years in data center-related technologies supporting AI such as storage, networking, or accelerated computing, is required. Training delivery experience is also necessary. Proficiency in delivering technical training and presentations, crafting and implementing accelerated computing solutions, and strong English communication, interpersonal, and writing skills are essential. Familiarity with tools like SLURM, Kubernetes, Docker containers, Git, Python, CUDA, RAPIDS, and cloud service providers (AWS, Azure, GCP) is critical. The ability to work multi-functionally across different levels of a matrixed organization is also required. Experience in delivering and developing in-depth training for technical selling audiences, experience in optimizing workloads with GPU (like CUDA, CuDNN and TensorRT), and a Master's degree in a relevant field are preferred. Multilingual abilities, particularly German or French, are a plus.

Responsibilities

The Technical AI Instructor will lead the delivery and creation of technical content supporting NVIDIA's channel partners, focusing on AI data center workloads and technologies. Responsibilities include developing and delivering technical training workshops for the EMEA Channel community, partnering with internal teams to ensure partner field technical teams have the necessary skills to position, recommend, and implement NVIDIA AI solutions. This involves conducting face-to-face and remote training sessions with up to 75% travel, supporting the development of training materials based on NVIDIA's AI and data center technologies, and collaborating with SMEs to draft course proposals and integrate key solution features into project-based learning. The role also includes training internal and external team members, building engaging lab-based training with diagrams, videos, and hands-on exercises, and supporting the development of instructor delivery notes, certification criteria, and assessment materials.

Skills

Artificial Intelligence

Data Centre Workloads

Technical Training

AI Enterprise Solutions

Solutions Architecture

Product Marketing

Technical Marketing

EMEA Market

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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