Senior Architect, Data Center Modeling

at Nvidia

📍 Santa Clara, United States

USD 184,000-356,500 per year

SENIOR

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
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.

Python @ 7 Distributed Systems @ 7 Data Analysis @ 4 Design Patterns @ 4 Pandas @ 4 GPU @ 4

Details

Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters.

Responsibilities

Guide the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms.
Evangelize modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team.
Implement industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation.
Make hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred).
8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems.
Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills.
Excellent interpersonal skills with success contributing to projects within multi-discipline teams.
Proven track record of contributions to scaled Python-based software projects.

Ways to stand out from the crowd

Experience with accelerated server architecture design and deployment, especially up to hyperscale.
Background in parallel computing, server architecture, or datacenter design.
An excitement and curiosity about the future of accelerated computing and AI.
Expertise in data analysis and visualization, especially pandas and associated technologies.
A love of technology and passion for your work.

Compensation & Benefits

Base salary range:
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
You will also be eligible for equity and benefits.

Other details

Applications for this job will be accepted at least until October 13, 2025.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate 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.