Senior Architect, Data Center Modeling
@ NVIDIA

Boulder, CO
$290,000
On Site
Full Time
Posted 21 days ago

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About the Role

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 High-Performance Computing, Artificial Intelligence, and Visualization technologies. Join us as a Senior Architect, Data Center Modeling to design and develop models for next generation GPU-accelerated datacenters.

What You'll Be Doing

  • Guide the software design, architecture, and implementation of cost and power models.
  • Evangelize modern software architecture design patterns, including AI-driven solutions.
  • Implement industry-leading software and dev-ops best practices.
  • Make hands-on contributions to a business-critical codebase.

What We Need To See

  • Bachelor's degree in Computer Science, Engineering or related field (MS preferred).
  • 8+ years of experience in systems architecture and modeling.
  • Exceptional programming skills in Python and strong analytical abilities.
  • Excellent interpersonal skills with experience in multi-discipline teams.
  • Proven contributions to scalable Python-based projects.

Ways To Stand Out From The Crowd

  • Experience with accelerated server architecture design up to hyperscale.
  • Background in parallel computing, server architecture or datacenter design.
  • Curiosity about accelerated computing and AI technologies.
  • Expertise in data analysis and visualization using pandas.
  • A strong passion for technology and innovation.

Key Skills/Competency

  • Data Center
  • Modeling
  • GPU
  • High-Performance Computing
  • Artificial Intelligence
  • Python
  • Architecture
  • Cost Modeling
  • Power Modeling
  • DevOps
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How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Customize your resume: Highlight datacenter modeling and Python skills.
  • Research NVIDIA: Understand their innovations in AI and HPC.
  • Prepare for technical interviews: Focus on systems architecture and cost modeling.
  • Demonstrate teamwork: Share experiences working in diverse teams.

📝 Interview Preparation Advice

Technical Preparation

Review GPU architecture and HPC fundamentals.
Practice Python coding challenges and system design.
Study cost and power modeling techniques.
Familiarize with acclerated server architecture.

Behavioral Questions

Explain past teamwork in challenging projects.
Describe handling feedback during iterative improvements.
Discuss experiences with cross-functional collaboration.
Share examples of adapting to new technologies.

Frequently Asked Questions