Full-Time

Senior Solutions Architect – SAE Training Lead

Solutions Architecture and Engineering

Posted on 9/30/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$184k - $356.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Florida, USA

Remote

Category
Sales & Solution Engineering (1)
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, from data center, system, networking, and cluster management tools through virtualization, containerization, and orchestration tools, and even HPC and AI applications
  • 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, along with an ability to multitask efficiently in a dynamic environment
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. You will 'QA' our 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
Desired Qualifications
  • Demonstrated expertise in program management, with a track record of successfully 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 our compute and networking hardware, AI Factory deployment software stack, and other developing solutions as well as public speaking experience at industry conferences or large technical events

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Data center demand remains strong, with hyperscalers still investing heavily in AI.
  • Vera Rubin and Blackwell supply partnerships signal continued next-generation platform adoption.
  • Edge AI, robotics, and automotive open large new markets beyond cloud GPUs.

What critics are saying

  • Hyperscalers testing AMD and Broadcom can erode NVIDIA's pricing power quickly.
  • AI ROI skepticism is pressuring enterprise budgets and slowing GPU deployment decisions.
  • HBM4 supply broadening weakens memory bottlenecks and gives customers more bargaining leverage.

What makes NVIDIA unique

  • NVIDIA owns the AI infrastructure stack from GPUs to software and systems.
  • CUDA creates developer lock-in across gaming, HPC, and enterprise AI workloads.
  • Its products span data centers, PCs, automotive, and robotics, broadening platform reach.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-3%

2 year growth

-3%
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