Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 7 Linux @ 7 Python @ 7 Bash @ 7 Communication @ 4 Networking @ 4 Debugging @ 7 Reporting @ 4 QA @ 4Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. This role on the Solutions Architecture and Engineering (SAE) team focuses on scaling the effectiveness of global technical teams by building high-impact internal technical training and enablement. As the SAE Training Lead, you will develop and lead technical training strategy, produce training materials (presentations, labs, resources), coordinate global training events, and measure training effectiveness across the organization.
Responsibilities
- Develop and lead a global SAE technical training strategy, de-duplicating efforts across the organization to create a unified, efficient learning path.
- Function as the primary liaison for adjacent teams like corporate enablement, customer training, certification, and product teams to maintain consistent communication and exchange of resources.
- Support in producing outstanding technical training materials using firsthand knowledge for presentations, labs, and resources.
- Coordinate and consolidate training events globally, working with regional SA leads, the NVIDIA Partner Network (NPN), and OEM teams to optimize travel and resources.
- Establish metrics and feedback mechanisms to measure training effectiveness; QA training, track feedback, and define measurable results to continuously improve content and delivery.
- Assist in the management and execution of SAE-led training initiatives, from curriculum design and logistics to post-event analysis and reporting.
Requirements
- BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience).
- Strong foundational expertise working with AI/HPC solutions, both on-premises and in the cloud.
- 8+ years of experience in a technical role such as Solutions Architecture, Systems Engineering, or Technical Marketing, combined with proven experience in a technical training, enablement, or teaching role.
- Experience with a broad range of tools and technologies used by NVIDIA: data center, system, networking, and cluster management tools; virtualization, containerization, and orchestration tools; and HPC and AI applications. Practical hands-on knowledge in these areas is crucial.
- Exceptional communication and presentation skills, with an ability to distill complex technical topics into clear, understandable content for an engaged audience.
- Strong analytical and problem-solving skills, and the ability to multitask efficiently in a dynamic environment.
Ways to stand out
- Demonstrated expertise in program management, with a track record of managing cross-functional, global initiatives.
- Experience with learning management systems (LMS), content creation tools, or video production.
- History of creating and delivering successful "Train the Trainer" programs.
- Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities.
- Hands-on experience with a wide array of NVIDIA's tools including compute and networking hardware, AI Factory deployment software stack, and other developing solutions; public speaking experience at industry conferences or large technical events is a plus.
Compensation & Benefits
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Additional information
- Applications for this job will be accepted at least until October 3, 2025.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They do not discriminate 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.