Senior Architect, Data Center Modeling

Nvidia

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA · Austin, TX · Hillsboro, OR · Durham, NC
Salary: $184,000–$287,500 / yr
Posted: 146 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k

This role $236k

$131k most similar roles pay here $304k

This role pays more than 85% of similar roles. Most pay $148,500–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 855 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 843 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Architect, Data Center Modeling

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As a senior computer architect at NVIDIA, you will join a cutting-edge team dedicated to advancing high-performance computing and artificial intelligence. Your role involves guiding the software design and architecture of cost and power modeling for datacenter-scale accelerated computing platforms, evangelizing modern software practices, and implementing industry-leading dev-ops best practices. You will make significant contributions to critical codebases that directly impact future technologies in AI and HPC. Ideal candidates have a bachelor’s degree or equivalent experience, with at least 8 years of systems architecture and modeling expertise, particularly in performance, power, or cost modeling of distributed systems. Strong programming skills in Python, along with mathematical and analytical prowess, are essential, as is familiarity with accelerated server design up to hyperscale levels, parallel computing, and datacenter architecture.

Skills

Python pandas Kubernetes Terraform AWS CI/CD Docker Prometheus Grafana PostgreSQL Git Jenkins

What you'll do

Guide software design and implementation for cost and power modeling of large-scale GPU-accelerated datacenters.
Evangelize modern software architecture patterns to enhance development speed and code quality in AI-driven solutions.
Implement industry-leading dev-ops practices tailored for rapidly growing teams, fostering continuous improvement.
Make significant contributions to critical business codebases impacting high-performance computing and AI technologies.
Design and deploy accelerated server architectures up to hyperscale levels.

What we're looking for

8+ years experience in systems architecture and modeling, including performance, power, or cost.
Strong programming skills in Python with expertise in mathematical and analytical techniques.
Proven track record contributing to large-scale Python-based software projects.
Experience with accelerated server architecture design up to hyperscale levels.
Background in parallel computing, server architecture, and datacenter design.
Expertise in data analysis and visualization using pandas and related technologies.

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