AI GPU Power Architect - Craft Ultra-Efficient AI Chips
Listed on 2026-10-07
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Software Development
AI Engineer (Applied/Software)
NVIDIA is seeking a New College Grad to contribute to power estimation models and tools for GPUs and DGX systems. The role emphasizes energy efficiency and Datacenter scale performance vs.
power analysis, using ML to develop accurate power and performance models for GPUs, CPUs, and interconnects. You will explore GPU/system architectures and workload characteristics for GenAI/HPC at Datacenter scale, driving HW/SW features for Perf@Watt improvements.
Step into the AI GPU Power Architect
- Craft Ultra-Efficient AI Chips role at NVIDIA Gruppe in Santa Clara, CA, United States and grow with us.
Learn more about the AI GPU Power Architect
- Craft Ultra-Efficient AI Chips role in the description above.
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