Senior Technical Training Developer - AI and Data Center Platform job opportunity at NVIDIA.

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NVIDIA Senior Technical Training Developer - AI and Data Center Platform
Experience: 8-years
Pattern: Remote
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loacation US, CA, Remote, United States Of America
loacation US, CA, Remote....United States Of America

We are looking for an outstanding technical training developer and instructor to join NVIDIA education services team. In this role, you will lead the creation and delivery of technical content on NVIDIA’s AI solutions across a wide range of configurations and workloads. NVIDIA is at the forefront of AI, HPC, and data center technologies, developing groundbreaking solutions that power the world's most demanding workloads. We invite you to play a pivotal role in shaping the future of AI data centers by crafting innovative training programs that drive real-world impact. What you’ll be doing: 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% as the need arises. Participate in internal test deliveries to ensure high-quality learning experience and actively seek feedback from students and industry partners to improve course content. What we need to see: 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. Ways to stand out from the crowd: Hands-on experience with NVIDIA AI and compute technologies, such as DGX systems, HPC platform, InfiniBand networking, as well as NVIDIA software platforms including NVIDIA AI Enterprise and Run:ai. Advanced certifications such as CCIE, CCNP, Red Hat certifications (RHCSA, RHCE, RHCA), or cloud architecture certifications (AWS Solutions Architect, Azure Solutions Architect). Proven experience in technical training development and delivery, with demonstrated ability to create hands-on lab exercises, instructional materials, and present to technical audiences both remotely and in-person. Master’s degree or equivalent experience in computer science, data science or engineering. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning

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