Architecture Energy Modeling Engineering Intern - 2027
NVIDIA· Intern
Shanghai, ChinainternshipPosted 1mo ago
About the role
Energy modeling internship at NVIDIA focusing on developing and integrating energy models for GPUs and Tegra SOCs, with ML/statistical techniques to train models, improve accuracy under design constraints, and bridge early estimates to silicon.
Responsibilities
- Work with architects and performance architects to develop an energy-efficient GPU.
- Develop methodologies and workflows to select and run a wide variety of workloads to train models using ML and/or statistical techniques.
- Develop methodologies to improve the accuracy of energy models under various constraints, such as, process, timing, floorplan and layout.
- Correlate the predicted energy from models created at different stages of the design cycle, with the goal of bridging early estimates to silicon.
- Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL and architectural simulators. Work with architects to fix the identified energy inefficiencies.
- Work with performance, verification and emulation methodology and infrastructure development teams to integrate energy models into their platforms.
- Prototype new architectural features, create an energy model, and analyze the system impact.
Qualifications
- Pursuing MS degree
- Strong coding skills, preferably in Python, C++.
- Background in machine learning, AI, and/or statistical modeling.
- Interest in computer architecture and energy-efficient GPU designs.
- Familiarity with Verilog and ASIC design principles is a plus.
- Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.
- Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.
- Good verbal/written English and interpersonal skills.
Skills
Required:PythonC++Machine Learning / Statistical ModelingAlgorithm Analysis
Nice to have:Verilog
Benefits
- competitive salaries
- generous benefits package
Last updated Sep 18, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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