Senior Technical Training Developer - AI and Data Center Platform

California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Data Center, Computer Hardware, Cloud ComputingIndustries

Requirements

Candidates must possess a Bachelor's degree or equivalent experience in computer science or engineering, with at least 8 years of professional experience in data center technologies, including Linux server administration, containerized AI workloads deployment, and networking protocols configuration. Strong technical expertise is required in cloud environments and enterprise tools such as Kubernetes, Docker, Slurm, Git, and Python, along with experience with major cloud service providers (AWS, Azure, GCP). Excellent English communication, interpersonal, and technical writing skills are essential, as is proficiency in delivering training and presentations to diverse audiences. The ability to collaborate effectively across different levels in a matrixed organization is also necessary. Preferred qualifications include hands-on experience with NVIDIA AI and compute technologies, advanced certifications (e.g., CCIE, RHCE, AWS Solutions Architect), proven experience in technical training development and delivery, and a Master's degree.

Responsibilities

The Senior Technical Training Developer will lead the creation and delivery of technical content focused on NVIDIA’s AI solutions within AI and HPC data centers. This includes developing training materials, collaborating with domain experts to align training outlines with market trends and customer requirements, and building engaging lab-based training with diagrams, videos, and hands-on exercises. The role involves conducting in-person and remote training sessions for customers and partners, with up to 25% travel. Additionally, responsibilities include participating in internal test deliveries, gathering feedback to improve course content, and ensuring a high-quality learning experience.

Skills

HPC

Data Center Technologies

Linux Server Administration

Containerized AI Workloads Deployment

Networking Protocols Configuration

Cloud Environments

Kubernetes

Docker

Slurm

Git

Python

AWS

Azure

GCP

Technical Writing

Training Delivery

Presentation 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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