Job description

Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. Our data center platforms integrate high performance compute, networking, and a full-stack software ecosystem to power AI at scale. We are looking for a Senior Technical Marketing Engineer focused on GPUs and scale-up architecture to join our growing accelerated computing product team. This role is pivotal in showcasing NVIDIA's GPU architecture, server-level platforms, and rack-scale innovations that maximize performance and efficiency for AI inference & training. What you’ll be doing: In this role, you will serve as the technical voice for NVIDIA’s GPU and rack-scale systems. This role bridges architecture and deployment, showing how GPUs, NVLink switching, and rack-level innovations like NVL72, power delivery, and liquid cooling come together to accelerate AI inference and training. You’ll translate complex system design into compelling narratives that resonate with hyperscalers, OEMs, and system IT operators. • GPU Deep Dives: Develop content that explains NVIDIA GPU architecture, features, and capabilities, highlighting their role in accelerating AI workloads. • System Architecture: Demonstrate how NVL72, NVLink Switching, CPU/GPU co-design, and rack-level systems integrate to deliver breakthrough AI performance. • Platform Readiness: Explain critical infrastructure technologies like power delivery/smoothing, liquid cooling, and thermal management to hyperscalers and system integrators. • Technical Storytelling: Deliver technical blogs, whitepapers, and presentations that connect platform innovation to real-world customer benefits. • Customer Engagement: Partner with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI from adopting NVIDIA scale-up solutions. • Market Analysis: Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's leadership in the market. What we need to see: • BS/MS in Computer Engineering or Electrical Engineering related field or equivalent experience • 7+ years in GPU, system architecture, technical marketing, solutions architecture roles in AI and data center domains. • Deep Expertise in GPU architecture, accelerators, and system components (servers, racks, cooling, power) • Familiarity with NVIDIA Grace Blackwell NVL72 platform and rack-level integration challenges. • Exceptional ability to convey complex technical concepts to diverse audiences, including data center execs, engineers, and operators. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, 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 160,000 USD - 253,000 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 July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

Requirements

Must-haves

GPU Deep Dives: Develop content that explains NVIDIA GPU architecture, features, and capabilities, highlighting their role in accelerating AI workloads.
System Architecture: Demonstrate how NVL72, NVLink Switching, CPU/GPU co-design, and rack-level systems integrate to deliver breakthrough AI performance.
Platform Readiness: Explain critical infrastructure technologies like power delivery/smoothing, liquid cooling, and thermal management to hyperscalers and system integrators.
Technical Storytelling: Deliver technical blogs, whitepapers, and presentations that connect platform innovation to real-world customer benefits.
Customer Engagement: Partner with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI from adopting NVIDIA scale-up solutions.
Market Analysis: Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's leadership in the market.
BS/MS in Computer Engineering or Electrical Engineering related field or equivalent experience
7+ years in GPU, system architecture, technical marketing, solutions architecture roles in AI and data center domains.
Deep Expertise in GPU architecture, accelerators, and system components (servers, racks, cooling, power)
Familiarity with NVIDIA Grace Blackwell NVL72 platform and rack-level integration challenges.
Exceptional ability to convey complex technical concepts to diverse audiences, including data center execs, engineers, and operators.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 18, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: eightfold
Effort: medium