Principal CPU Power Architect

Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI), agentic workloads, deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehicles? Come join the CPU architecture team and help us the boundaries for all our CPU products!What you'll be doing:Bridge the gap between architecture, RTL implementation, and physical design.Serve as subject matter expert on power delivery/regulators, power gating, di/dt, and thermal throttling.Analyze power trade-offs for different die stacking and packaging proposals.Propose and drive improvements related to power and power methodology for our custom CPU cores.What we need to see:BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.15 or more years of relevant experience.Extensive background in CPU architecture.Solid understanding of power consumption, and power efficiency concepts.Experience of RTL development.Detailed understanding of process technologies and circuit design.Well versed in low power techniques that span the entire stack from SW, Architecture, RTL, VLSI, and process.Ways to stand out from the crowd:PhD or research experience.Advanced knowledge in the area of physical design.Knowledge of GPU and SOC design.Experience of advanced packaging technologies.Strong communication skills.NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries — from robotics and autonomous vehicles to healthcare and climate research. With the introduction of the Grace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA’s broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until May 19, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.SummaryLocation: US, CA, Santa Clara; US, TX, Austin; US, OR, HillsboroType: Full time