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GPU Power Analysis Intern - 2026

NVIDIA

Engineering Jobs

GPU Power Analysis Intern - 2026

full-timePosted: Oct 30, 2025

Job Description

We are now looking for a Power Methodology and Analysis Intern.NVIDIA prides ourselves in having energy efficient products. We believe that continuing to maintain our products' energy efficiency compared to competition is key to our continued success. Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and responsible for analyzing fullchip and unit-level power data, and driving ASIC teams to improve their units’ power efficiency. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of NVIDIA GPUs. As a member of the Power Modeling, Methodology and Analysis Team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for NVIDIA's next generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.What you'll be doing:Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency.Develop and share best practices for performing pre-silicon power analysis, Enhance internal power tools and automate best practicesPerform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny.Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes.Select and run a wide variety of workloads for power analysis, Collaborate with performance and architecture teams to validate performance of the workloadsPrototype a new architectural feature in Verilog and analyze power.What we need to see:Pursuing MS or PhD in related fields.Basic understanding of concepts of energy consumption, estimation, and low power design.Familiarity with Verilog and ASIC design principles, including knowledge of logic cells.Good verbal/written English and interpersonal skills; much collaboration with design teams is expected.Strong coding skills, preferably in Python, C++.Ability to formulate and analyze algorithms, and comment on their time complexity and memory consumption.Desire to bring data-driven decision-making and analytics to improve our products.Ways to stand out from the crowd:Familiar with the power tools/flow development is a big plusWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Locations

  • Shanghai, China

Salary

Estimated Salary Rangemedium confidence

1,200,000 - 2,400,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Power Analysisintermediate
  • Energy Efficiencyintermediate
  • ASIC Designintermediate
  • GPU Designintermediate
  • Tegra SOCintermediate
  • Pre-silicon Gate-level Power Analysisintermediate
  • RTL Power Analysisintermediate
  • Power Modelingintermediate
  • Verilogintermediate
  • RTL Designintermediate
  • Internal Power Toolsintermediate
  • Automationintermediate
  • Comparative Power Analysisintermediate
  • Workload Selectionintermediate
  • Performance Validationintermediate
  • Architectural Prototypingintermediate
  • Collaborationintermediate
  • Problem Solvingintermediate
  • Data Interpretationintermediate

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NVIDIA logo

GPU Power Analysis Intern - 2026

NVIDIA

Engineering Jobs

GPU Power Analysis Intern - 2026

full-timePosted: Oct 30, 2025

Job Description

We are now looking for a Power Methodology and Analysis Intern.NVIDIA prides ourselves in having energy efficient products. We believe that continuing to maintain our products' energy efficiency compared to competition is key to our continued success. Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and responsible for analyzing fullchip and unit-level power data, and driving ASIC teams to improve their units’ power efficiency. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of NVIDIA GPUs. As a member of the Power Modeling, Methodology and Analysis Team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for NVIDIA's next generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.What you'll be doing:Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency.Develop and share best practices for performing pre-silicon power analysis, Enhance internal power tools and automate best practicesPerform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny.Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes.Select and run a wide variety of workloads for power analysis, Collaborate with performance and architecture teams to validate performance of the workloadsPrototype a new architectural feature in Verilog and analyze power.What we need to see:Pursuing MS or PhD in related fields.Basic understanding of concepts of energy consumption, estimation, and low power design.Familiarity with Verilog and ASIC design principles, including knowledge of logic cells.Good verbal/written English and interpersonal skills; much collaboration with design teams is expected.Strong coding skills, preferably in Python, C++.Ability to formulate and analyze algorithms, and comment on their time complexity and memory consumption.Desire to bring data-driven decision-making and analytics to improve our products.Ways to stand out from the crowd:Familiar with the power tools/flow development is a big plusWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Locations

  • Shanghai, China

Salary

Estimated Salary Rangemedium confidence

1,200,000 - 2,400,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Power Analysisintermediate
  • Energy Efficiencyintermediate
  • ASIC Designintermediate
  • GPU Designintermediate
  • Tegra SOCintermediate
  • Pre-silicon Gate-level Power Analysisintermediate
  • RTL Power Analysisintermediate
  • Power Modelingintermediate
  • Verilogintermediate
  • RTL Designintermediate
  • Internal Power Toolsintermediate
  • Automationintermediate
  • Comparative Power Analysisintermediate
  • Workload Selectionintermediate
  • Performance Validationintermediate
  • Architectural Prototypingintermediate
  • Collaborationintermediate
  • Problem Solvingintermediate
  • Data Interpretationintermediate

Target Your Resume for "GPU Power Analysis Intern - 2026" , NVIDIA

Get personalized recommendations to optimize your resume specifically for GPU Power Analysis Intern - 2026. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "GPU Power Analysis Intern - 2026" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

China

Answer 10 quick questions to check your fit for GPU Power Analysis Intern - 2026 @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

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