Base: $100,000 - $166,750 usd (level 1) or $116,00...
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Python proficiency with pandas numpy pytorch
Energy efficient chip design fundamentals
Low power design techniques knowledge
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Nvidia is seeking a Datacenter GPU Power Architect for new college graduates, focusing on innovative energy-efficient GPU designs. The role involves developing power estimation models, analyzing performance versus power, and using machine learning techniques to enhance GPU architectures.
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Job Summary
Join NVIDIA's Applied Power Architecture team to develop state-of-the-art GPUs powering AI, HPC, and automotive sectors.
You will deploy machine learning techniques to create highly accurate power and performance models for GPUs, CPUs, and switches.
Candidates are eligible for equity, benefits, and a base salary ranging from $100,000 to $189,750 USD depending on level.
Matching Summary
Match Score: 75
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Nvidia is seeking a Datacenter GPU Power Architect for new college graduates, focusing on innovative energy-efficient GPU designs. The role involves developing power estimation models, analyzing performance versus power, and using machine learning techniques to enhance GPU architectures.
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Salary
Base: $100,000 - $166,750 USD (Level 1) or $116,000 - $189,750 USD (Level 2); Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package included
Skills & Requirements
Must-have
Python proficiency with Pandas NumPy PyTorch
Energy efficient chip design fundamentals
Low power design techniques knowledge
Performance vs Power Analysis experience
Datacenter scale workload understanding
Nice-to-have
GPU architecture background preferred
Familiarity with system SW architectures
Experience with performance monitors simulators
Interest in cutting-edge interconnect technologies
Key Requirements
Bachelor's or Master's in Electrical or Computer Engineering
New College Grad 2026 status
Knowledge of multi-VT clock gating power gating DVFS