NVIDIA

Senior Technical Instructor - Data Center Networking

California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Networking, Data Center, AI Infrastructure, Technology EducationIndustries

Requirements

Candidates should possess a Bachelor’s degree in computer science, engineering, or a related field, or equivalent certifications such as CCIE, CCNP (or equivalent experience). They must have at least 5 years of professional experience with data center technologies, including Linux server administration, networking, virtualization, and storage, along with strong Linux administration skills.

Responsibilities

The Senior Technical Instructor will deliver remote and in-person technical training related to NVIDIA’s AI Infrastructure solutions, estimated traveling 30%-40%. They will develop high-quality hands-on workshops and e-learning training for NVIDIA’s customers, partners, and end-users, collaborating with subject matter experts to create lab-based training with compelling diagrams and interactive exercises. The role involves partnering with SMEs to draft training proposals, developing instructor delivery notes and assessment materials, participating in test-flights, and engaging with regional teams for localization and deployment. Furthermore, they will actively seek feedback, peer-review training materials, and provide copy editing, ensuring consistently high-quality learning experiences.

Skills

Networking protocols (BGP, LAG, MLAG, EVPN, VxLAN)
Linux administration
Technical training
Workshop development
e-learning content creation
Hands-on exercises
Diagram creation
Video production
Interpersonal communication
Technical writing

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.

Key Metrics

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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