AI GPU Power Architect - New College Grad 2026
$100k - $190k • US, CA, Santa Clara
Posted 5d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
NVIDIA is seeking a highly motivated individual to join our Applied Power Architecture team as an AI GPU Power Architect. This role focuses on developing state-of-the-art GPUs for AI, HPC, Automotive, GeForce, and Mobile products, with a strong emphasis on energy efficiency and Total Cost of Ownership (TCO) improvements at both the GPU and datacenter levels. You will contribute to power estimation models and tools, explore early GPU and system architectures, and analyze performance versus power trade-offs for NVIDIA's future product lineup. This is an exciting opportunity to innovate in hyper-efficient GPU and SOC architectures and deliver exceptional Perf/Watt solutions.
Responsibilities
- Contribute to power estimation models and tools for GPU products and systems.
- Engage in early GPU & System Architecture exploration with a focus on energy efficiency and TCO improvements.
- Assist with Performance vs Power Analysis for NVIDIA's future product lineup.
- Deploy machine learning techniques to develop accurate power and performance models for GPUs, CPUs, Switches, and platforms.
- Understand GenAI/HPC workload characteristics at datacenter scale to drive new HW/SW features for Perf@Watt improvements.
- Model and analyze cutting-edge technologies like high-speed and high-density interconnects.
Requirements
- Pursuing or recently completed a Bachelors or Masters in Electrical Engineering, Computer Engineering, or equivalent experience.
- Strong understanding of Computer Architecture and Digital Logic Design/VLSI Design.
- Proficiency with Python and data analysis packages like Pandas, NumPy, PyTorch.
- Knowledge of energy-efficient chip design fundamentals and related tradeoffs, including low-power design techniques (e.g., multi-VT, clock gating, power gating, DVFS).
Benefits
- Equity
- Benefits