Datacenter Product Architect

at Nvidia

📍 Santa Clara, United States

USD 168,000-322,000 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 GPU @ 3 HPC Networking @ 3

Details

NVIDIA is looking for a Datacenter Product Architect to help define and design products for artificial intelligence, high-performance computing, and other datacenter markets.

Responsibilities

Drive architecture for datacenter systems, considering everything from the chip to the full datacenter.
Work with counterparts from silicon, software, networking, operations, and other teams to define and build future NVIDIA products.
Collaborate with multidisciplinary teams to understand customer needs, translate them into design inputs, and align on consistent strategies.
Analyze the performance, power, and cost of different solutions to understand architectural trade-offs and align design decisions.
Work across engineering and operations teams to define and implement systems from concept through large production deployments.

Requirements

8 or more years of experience working on datacenter systems.
Deep understanding of hardware architecture and server design, including mechanical, power, and thermal considerations, as well as the interaction between server architecture and at-scale datacenter deployment.
Hands-on experience with challenging problems spanning software and hardware.
Excellent interpersonal skills and a proven record of leading multidisciplinary teams.
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. A master's degree is preferred.

Preferred Qualifications

Experience with large projects involving the co-development of custom processors or accelerators, systems, and software.
Familiarity with GPU compute and NVIDIA networking.
Understanding of manufacturing operations processes.
Experience with cloud server deployments and operations.
Passion for technology and the work.

Compensation and Benefits

The base salary range is USD 168,000–258,750 for Level 4 and USD 200,000–322,000 for Level 5. 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 September 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.