Senior Technical Marketing Engineer - GPU and System Architecture

at Nvidia

📍 Santa Clara, United States

USD 160,000-322,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 GPU @ 4 Marketing @ 4 NVLink Networking System Architecture @ 4

Details

Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. NVIDIA data center platforms integrate high-performance compute, networking, and a full-stack software ecosystem to power AI at scale. This role focuses on GPUs and scale-up architecture within the accelerated computing product team, showcasing NVIDIA GPU architecture, server-level platforms, and rack-scale innovations that maximize performance and efficiency for AI inference and training.

Responsibilities

Develop technical content explaining NVIDIA GPU architecture, features, and capabilities, including their role in accelerating AI workloads.
Demonstrate how NVL72, NVLink Switching, CPU/GPU co-design, and rack-level systems integrate to deliver AI performance.
Explain infrastructure technologies such as power delivery and smoothing, liquid cooling, and thermal management to hyperscalers and system integrators.
Deliver technical blogs, whitepapers, and presentations connecting platform innovation to real-world customer benefits.
Partner with hyperscalers, OEMs, and system operators to address design challenges and communicate the return on investment of NVIDIA scale-up solutions.
Monitor industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's market leadership.

Requirements

Bachelor's or master's degree in Computer Engineering, Electrical Engineering, a related field, or equivalent experience.
Seven or more years of experience in GPU, system architecture, technical marketing, or solutions architecture roles within AI and data center domains.
Deep expertise in GPU architecture, accelerators, and system components, including servers, racks, cooling, and power.
Familiarity with the NVIDIA Grace Blackwell NVL72 platform and rack-level integration challenges.
Exceptional ability to convey complex technical concepts to diverse audiences, including data center executives, engineers, and operators.
Creative, self-motivated, and autonomous approach to work.

Compensation and Benefits

The base salary range is USD 160,000–253,000 for Level 4 and USD 200,000–322,000 for Level 5. Base salary is determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.