NVIDIA · 1 month ago
Architecture Energy Modeling Engineer - New College Grad 2025
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 an Architecture Energy Modeling Engineer to develop methodologies for energy-efficient GPU designs and collaborate with various engineering teams to analyze and reduce power consumption of NVIDIA products.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Work with architects, designers, and performance engineers to develop an energy-efficient GPU
Identify key design features and workloads for building Machine Learning based unit power/energy models
Develop and own methodologies and workflows to train models using ML and/or statistical techniques
Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms
Develop methodologies to estimate data movement power/energy accurately
Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon
Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads
Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies
Prototype new architectural features, build an energy model for those new features, and analyze the system impact
Identify, suggest, and/or participate in studies for improving GPU perf/watt
Qualification
Required
Pursuing or recently completed a MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent experience
Strong coding skills, preferably in Python, C++
Background in machine learning, AI, and/or statistical modeling
Background in computer architecture and interest in energy-efficient GPU designs
Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities
Basic understanding of fundamental concepts of energy consumption, estimation, and low power design
Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products
Good verbal/written communication and interpersonal skills
Preferred
Familiarity with Verilog and ASIC design principles is a plus
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
Recent News
2026-01-11
2026-01-11
Company data provided by crunchbase