Senior Applied Power Architect - GPU
Core
Inventing methodologies and techniques to address electrical, speed, and power challenges for NVIDIA's next-generation AI GPU architectures (Rubin, Feynman) to optimize power efficiency and performance.
Role type
Senior Applied Power Architect (GPU)
Builds
High-performance, energy-efficient GPU architectures for AI, Automotive, GeForce, and Mobile products.
Domain
Semiconductor hardware design, Power Integrity, Low-power processor architectures
Deliverable
production ML models
Required skills
Low-power processor architecture design, Power management optimization, Process characteristics analysis, V-F tradeoff analysis, Multi-die technology integration, PDN design, Di/Dt/IR/EM analysis, Python, Data analysis (Pandas, NumPy, PyTorch), Lab setup (power measurement equipment)
Preferred skills
PhD in relevant field, Board-level power issue analysis, Supply voltage/over-current analysis
Technologies
Python, Pandas, NumPy, PyTorch, PDN design tools, Power measurement equipment (scope/DAQ)
Responsibilities
Develop methodologies for electrical/speed/power challenges in next-gen AI architectures; Drive power management initiatives to optimize efficiency; Analyze process characteristics and V-F tradeoffs; Investigate multi-die technologies for packaging and interconnect solutions; Analyze peak current, Di/Dt, IR, and EM requirements.
Seniority
Senior, hands-on IC
