[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Search jobs](/search/) NVIDIA · Multiple locations # Datacenter GPU Power Architect Multiple locations Data & Analytics Listed on NVIDIA’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there. [Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Datacenter-GPU-Power-Architect_JR1992618) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / Datacenter GPU Power Architect ## Job description NVIDIA is known as a world leader in providing energy-efficient high-performance products and we continue to invest in the research and development of hyper-efficient GPU and SOC architectures. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional Perf/Watt solutions in a wide range of sectors and verticals. Come join NVIDIAs Applied Power Architecture team to develop state of the art GPUs to power AI, HPC, Automotive, GeForce, and Mobile products. We are looking for a Datacenter GPU Power Architect! ### What you'll be doing You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX/HGX based datacenters. Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level. You will help with Performance vs Power Analysis, track ASIC milestones for impactful NVIDIA future product lineup. Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms. Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements. Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects. ### What we need to see MSEE/MSCE, or equivalent experience with 2+ years of experience related to Power / Performance estimation and optimization techniques. Knowledge of energy efficient chip design fundamentals and related tradeoffs. Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS). Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques. ### Proficiency with Python and data analysis packages like Pandas, NumPy, PyTorch. Familiarity with performance monitors/simulators used in modern processor architectures. NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 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. ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 13, 2026 - Last checked: Oct 20, 2026 - Listed for: 7 days - Location: Multiple locations[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Datacenter-GPU-Power-Architect_JR1992618) ## More jobs at NVIDIA ### [Engineering Manager, Data Labeling Platform](https://jobs.opennash.com/companies/nvidia/jobs/b193c25c05b790bec3b3/) ### [Image and Data Processing Libraries Intern](https://jobs.opennash.com/companies/nvidia/jobs/952aa919ecb3fe40e0f2/) ### [Machine Learning Engineer, AI Safety](https://jobs.opennash.com/companies/nvidia/jobs/25d8eb68b637c15f8e43/) ### [Manager, Solutions Architecture - Data Processing](https://jobs.opennash.com/companies/nvidia/jobs/b8795fdb73fb5e6e603e/) ### [Principal Data Scientist - Cloud Gaming and AI](https://jobs.opennash.com/companies/nvidia/jobs/9534f44a14fe881b6aec/) ## Similar jobs at other companies ### [GPU Driver & Memory Management Architect](https://jobs.opennash.com/companies/hp/jobs/9a98e7830a66aaad0e7c/) HP ### [GPU AI Solution Architect](https://jobs.opennash.com/companies/intel/jobs/e5c59740afd1581fded0/) Intel ### [Staff Engineer, GPU Architect](https://jobs.opennash.com/companies/samsung-electronics/jobs/8704c9fe053fc2bc5596/) Samsung Electronics ### [Senior Engineer, GPU Modeling Architect](https://jobs.opennash.com/companies/samsung-electronics/jobs/0bf4ac3d62cf08d4d9c3/) Samsung Electronics ### [Senior Growth Solutions Architect - Electric Power / Grid](https://jobs.opennash.com/companies/leidos/jobs/383eb525d0a01c883252/) Leidos [Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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