Senior Technical Training Developer, AI and Data Center Platform

Job not on LinkedIn

September 18

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $160k - $304.8k / year

⏰ Full Time

🟠 Senior

🖥 Software Engineer

🦅 H1B Visa Sponsor

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Develop training materials focused on NVIDIA’s solutions and their role in AI and HPC data centers. • Collaborate with internal and external domain experts to draft training outlines aligned with market trends and customers' requirements. • Build engaging lab-based training, incorporating diagrams, explanatory videos, and interactive hands-on exercises. • Conduct in-person and remote training sessions for NVIDIA’s customers and partners, with a willingness to travel up to 25%. • Participate in internal test deliveries to ensure high-quality learning experience and actively seek feedback from students and industry partners to improve course content.

🎯 Requirements

• Bachelor’s degree or equivalent experience in computer science or engineering, with relevant proven experience. • 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 in cloud environments and enterprise tools including Kubernetes, Docker, Slurm, Git, Python, and experience with major cloud service providers (AWS, Azure, GCP). • Strong communication, interpersonal, and technical writing skills in English (writing sample required). • Proficiency in delivering training and presentations, with the ability to effectively communicate technical concepts to diverse audiences. • Ability to collaborate effectively across different levels in a matrixed organization.

🏖️ Benefits

• eligible for equity and benefits