[Remote] Senior Technical Training Developer - AI and Data Center Platform at NVIDIA

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

Skills

Key technologies and capabilities for this role

AIHPCData Center TechnologiesLinux Server AdministrationContainerized AI Workloads DeploymentNetworking Protocols ConfigurationCloud EnvironmentsKubernetesDockerSlurmGitPythonAWSAzureGCPTechnical WritingTraining DeliveryPresentation Skills

Questions & Answers

Common questions about this position

What are the key required skills for this Senior Technical Training Developer role?

Candidates need a Bachelor’s degree or equivalent in computer science or engineering, at least 8 years of experience in data center technologies including Linux server administration, containerized AI workloads, and networking, plus strong expertise in Kubernetes, Docker, Slurm, Git, Python, and major cloud providers like AWS, Azure, and GCP. Strong communication, technical writing, and presentation skills in English are also required, along with the ability to collaborate in a matrixed organization.

Is remote work possible for this position, or is travel required?

The role involves conducting both in-person and remote training sessions, with a willingness to travel up to 25% as needed.

What salary or compensation details are provided for this role?

This information is not specified in the job description.

What experience would make me stand out as a candidate?

Hands-on experience with NVIDIA AI technologies like DGX systems, InfiniBand, NVIDIA AI Enterprise, and Run:ai; advanced certifications such as CCIE, CCNP, Red Hat (RHCSA, RHCE, RHCA), or cloud architect certifications; proven technical training development and delivery; and a Master’s degree in computer science, data science, or engineering.

What is the company culture like at NVIDIA for this team?

NVIDIA is widely considered one of the technology world’s most desirable employers with forward-thinking and hardworking people. The role involves collaborating with internal and external domain experts in a matrixed organization on the education services team.

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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