Senior Architect Data Center Modeling
@ NVIDIA

Santa Clara, CA
$300,000
On Site
Full Time
Posted 21 days ago

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Overview

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 groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Join us in pushing the boundaries of what's possible by designing and developing models for the next generation of GPU-accelerated datacenters.

What You'll Be Doing

As the Senior Architect Data Center Modeling, you will:

  • Guide the fundamental software design, architecture, and implementation of cost and power modeling for datacenter-scale accelerated computing platforms.
  • Evangelize modern software architecture design patterns and AI-driven tools to improve platform performance and code quality.
  • Implement industry-leading software and dev-ops best practices for a rapidly growing team.
  • Make hands-on contributions to a business-critical codebase impacting high-performance computing and AI technologies.

What We Need To See

Candidates must have a Bachelor’s degree in a related field (MS preferred), 8+ years of experience in systems architecture and modeling, exceptional Python programming skills, strong mathematical and analytical abilities, and proven success in multi-discipline team environments.

Ways To Stand Out

Stand out with experience in accelerated server architecture design up to hyperscale, background in parallel computing or datacenter design, expertise in data analysis and visualization, and a passion for technology.

Compensation & Benefits

Competitive base salary determined by location, experience, and market pay, with eligibility for equity and additional benefits.

Key skills/competency

  • Data Center Modeling
  • Software Architecture
  • Cost Modeling
  • Power Modeling
  • Python Programming
  • High-Performance Computing
  • AI Technologies
  • DevOps
  • Distributed Systems
  • Visualization
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How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Customize your resume: Emphasize modeling and architecture skills.
  • Highlight Python expertise: Showcase advanced technical projects.
  • Research NVIDIA: Understand their AI and HPC innovations.
  • Prepare for tech interviews: Review cost and power modeling challenges.

📝 Interview Preparation Advice

Technical Preparation

Review cost modeling methodologies.
Practice Python coding challenges.
Study GPU-accelerated system designs.
Analyze distributed systems architecture fundamentals.

Behavioral Questions

Describe past team collaboration experiences.
Explain conflict resolution in multi-disciplinary environments.
Discuss your approach to continuous improvement.
Share examples of adaptability in challenging projects.

Frequently Asked Questions