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NVIDIA

NVIDIA

via Remote Rocketship

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Senior Architect, Data Center Modeling

Anywhere
full-time
Posted 10/9/2025
Verified Source
Key Skills:
Python
Systems architecture
Performance modeling
Power modeling
Distributed systems
DevOps
AI-driven solutions

Compensation

Salary Range

$120K - 180K a year

Responsibilities

Design and implement software architecture and cost/power modeling for datacenter-scale accelerated computing platforms, evangelize modern architecture and AI-driven tools, and contribute hands-on to a critical codebase.

Requirements

Bachelor's degree or equivalent, 8+ years in systems architecture and modeling with Python, strong math and analytical skills, and experience in scaled Python projects.

Full Description

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

This job posting was last updated on 10/11/2025

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