NVIDIA · 9 hours ago
Power Methodology and Modeling Engineer - New College Grad 2026
US, TX, Austin
Full-time
Onsite
New Grad, Entry Level
$116K/yr - $190K/yrNVIDIA is a leading technology company focused on AI and computing innovations. They are seeking a Power Methodology and Modeling Engineer to collaborate with various teams to implement energy modeling techniques for next generation GPUs, CPUs, and Tegra SOCs, improving architecture and power management.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Define and implement tools and methodologies for efficient data generation from post layout netlists to feed into data movement power analytical model
Develop tools and infrastructure to sanitize each metric in the model to achieve high correlation accuracy
Define and implement tools and methodologies for efficient integration of power models with performance tools
Identify runtime and memory limitation of existing flows and tools to speedup model delivery process
Mine data from pre- and post-silicon performance runs to find important data paths and bottlenecks. Give feedback to design teams and improve power efficiency
Work with floorplan, performance, verification and emulation methodology and infrastructure development teams to integrate data movement power models
Experiment with various ML techniques to answer what-if design questions and set proper power/energy targets for next generation chips
Enable efficient storage and retrieval of data from database
Enable easy visualization of data using platforms such as PowerBI, OpenSearch
Qualification
Required
Pursuing or recently completed a BS, MS or PhD in Electrical or Computer Engineering or equivalent experience
Strong coding skills, preferably in Python, C++
Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities
Understanding of VLSI, digital design, and computer architecture concepts
Basic understanding of fundamental concepts of power and energy consumption, estimation, and low power design
Basic understanding of chip design process from RTL design to tape-out
Preferred
Background in machine learning, AI, and/or statistical modeling is a plus
Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
Founded in 1993
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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