Senior Architect, Data Center Modeling
@ NVIDIA

Hybrid
$356,500
Hybrid
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 advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs power revolutionary technologies from AI to autonomous vehicles.

What You'll Be Doing

  • Guide fundamental software design, architecture, and implementation of cost and power modeling for datacenter-scale accelerated computing platforms.
  • Evangelize modern software design patterns and AI-driven tools to enhance development and performance.
  • Implement dev-ops best practices for a rapidly growing team and foster continuous improvement.
  • Contribute hands-on to a business-critical codebase impacting high-performance computing and AI technologies.

What We Need To See

  • Bachelor's in Computer Science, Engineering, or equivalent experience (MS preferred).
  • 8+ years in systems architecture and modeling, including performance, power, or cost modeling.
  • Exceptional Python programming skills with strong mathematical and analytical abilities.
  • Excellent interpersonal skills and proven teamwork across multi-discipline projects.
  • Track record in scaled Python-based software 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.
  • Passion for accelerated computing and AI.
  • Expertise in data analysis and visualization, particularly with pandas.
  • A genuine love for technology and innovation.

Additional Information

Your base salary will be determined based on your location, experience, and internal benchmarks. Eligibility for equity and benefits applies. Applications are accepted until October 13, 2025.

Diversity and Inclusion

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. All qualified applicants will receive consideration without discrimination.

Key skills/competency

  • Architecture
  • Data Center
  • Modeling
  • Python
  • High-Performance Computing
  • AI
  • DevOps
  • Software Design
  • Cost Modeling
  • Visualization
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How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Tailor your resume: Highlight experience in datacenter modeling and Python expertise.
  • Research NVIDIA: Understand its innovations in AI and high-performance computing.
  • Showcase projects: Detail contributions to scalable software architectures.
  • Prepare for technical interviews: Brush up on cost and power modeling fundamentals.

📝 Interview Preparation Advice

Technical Preparation

Review cost and power modeling fundamentals.
Practice Python coding challenges.
Study GPU architecture design patterns.
Gain insights on distributed systems performance.

Behavioral Questions

Describe teamwork in multi-discipline projects.
Explain problem-solving in complex system designs.
Discuss handling tight deadlines effectively.
Share experiences with continuous software improvement.

Frequently Asked Questions