Senior Data Center Architect — AI-Driven Modeling for HPC

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a senior software architect to lead cost and power modeling for datacenter‑scale platforms. You will set architectural direction, build key models, and improve performance through Python‑based solutions.

You will evangelize AI‑driven design patterns, implement dev‑ops best practices, and contribute hands‑on to a critical codebase that shapes the future of HPC and AI technologies.

Qualifications

• 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.

Responsibilities

• Guide software design, architecture, and implementation of cost and power modeling for datacenter‑scale platforms.
• Advocate AI‑driven software architecture patterns to accelerate development and improve performance and code quality.
• Implement industry‑leading software and dev‑ops practices for growing teams and foster continuous improvement.

Skills

Python

Analytical skills

Interpersonal skills

Team collaboration

Performance modeling

Education

Bachelor's degree or MS in CS/CE/EE

Tools

Pandas

Job description

NVIDIA Corporation is seeking a senior software architect to lead cost and power modeling for datacenter‑scale platforms. You will set architectural direction, build key models, and improve performance through Python‑based solutions.

You will evangelize AI‑driven design patterns, implement dev‑ops best practices, and contribute hands‑on to a critical codebase that shapes the future of HPC and AI technologies.