NVIDIA
Senior Architect, Data Center Modeling
$184K–$356K
US, CA, Santa Clara +5 · Senior · Full-time · Posted Jan 9, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin
US, OR, Hillsboro
US, Remote
US, NC, Durham
US, CO, Boulder - Experience
- 8+ years.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience; MS preferred.
About the job
Design and develop software models for the cost and power of datacenter-scale accelerated computing platforms.
What you'll do
- Guide software design, architecture, and implementation for datacenter cost and power modeling.
- Promote modern software architecture patterns and tools, including AI-driven solutions, to improve development, performance, and code quality.
- Contribute to a business-critical codebase and implement software and DevOps best practices.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems.
- Exceptional Python programming skills and strong mathematical and analytical skills.
- Proven contributions to scaled Python-based software projects; successful collaboration on multidisciplinary teams.
Nice to have
- Experience with accelerated server architecture design and deployment, especially up to hyperscale; background in parallel computing, server architecture, or datacenter design.
- Expertise in data analysis and visualization, especially pandas and associated technologies.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
Python, pandas
AI focus
Use AI-driven solutions to accelerate development, enhance performance, and improve code quality. NVIDIA also uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative