Senior Technical Marketing Engineer - GPU and System Architecture

NVIDIA Corporation; Santa Clara (CA); On-site; USD 160,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking a Senior Technical Marketing Engineer focused on GPUs and scale-up architecture to join our accelerated computing product team. You will bridge architecture and deployment, translating complex GPU and NVLink concepts into compelling narratives for hyperscalers, OEMs, and system IT operators.

This role requires deep expertise in GPU architecture, accelerators, and rack-level components, plus the ability to craft technical blogs, whitepapers, and

Qualifications

• 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.

Responsibilities

• Bridge architecture and deployment, showing how GPUs, NVLink switching, and rack-level innovations come together to accelerate AI inference and training.
• Develop content explaining NVIDIA GPU architecture, features, and capabilities for AI workloads.
• Demonstrate how NVL72, NVLink Switching, CPU/GPU co-design, and rack-level systems integrate to deliver breakthrough AI performance.
• Explain critical infrastructure technologies like power delivery, liquid cooling, and thermal management to hyperscalers and system integrators.
• Deliver technical blogs, whitepapers, and presentations that connect platform innovation to real-world customer benefits.
• Partner with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI from NVIDIA scale-up solutions.
• Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning.

Skills

GPU architecture

System architecture

Technical marketing

Solutions architecture

Technical storytelling

Stakeholder communication

Education

BS/MS in Computer/Electrical Engineering

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:

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.

Applications for this job will be accepted at least until July 18, 2026.

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.

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.