Senior Architect, Data Center Modeling

• Bachelors 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

Ways to stand out from the crowd:

• Experience with accelerated server architecture design and deployment, especially up to hyperscale.

• Background in parallel computing, server architecture, or datacenter design.

• An excitement and curiosity about the future of accelerated computing and AI

• Expertise in data analysis and visualization, especially pandas and associated technologies

• A love of technology and passion for your work!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

NVIDIA (Santa Clara, CA)

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 our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what’s possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters.

What you’ll be doing:

• Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms

• Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team.

• Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation.

• Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies.