Architecture Energy Modeling Engineer - New College Grad 2026

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 116,000 - 218,500 annuallyFunction: Architecture & Urban PlanningEducation: phdSkills: ["Communication","Interpersonal skills","Quantitative analytics"]

Develop energy-efficient GPU power/energy models for NVIDIA’s next-generation GPUs, CPUs, and Tegra SoCs. Join the Power Modeling, Methodology and Analysis team to research, train, and refine ML/statistical unit energy models, correlate predictions across the design cycle, and integrate models into performance infrastructure for combined power/performance reporting. Build tools to debug energy inefficiencies and prototype new architectural features to evaluate their perf/watt system impact.

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FursaFursa
NVIDIA
NVIDIA
4 days ago

Architecture Energy Modeling Engineer - New College Grad 2026

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Develop energy-efficient GPU power/energy models for NVIDIA’s next-generation GPUs, CPUs, and Tegra SoCs. Join the Power Modeling, Methodology and Analysis team to research, train, and refine ML/statistical unit energy models, correlate predictions across the design cycle, and integrate models into performance infrastructure for combined power/performance reporting. Build tools to debug energy inefficiencies and prototype new architectural features to evaluate their perf/watt system impact.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Architecture & Urban Planning
Seniority: Graduate level

Key Responsibilities

  • •Develop energy-efficient GPU energy/power models using ML and/or statistical techniques.
  • •Identify key workloads and design features to build unit power/energy models.
  • •Train and improve model accuracy using different representations, objective functions, and learning algorithms.
  • •Estimate and correlate data movement power/energy across stages of the design cycle, bridging early estimates to silicon.
  • •Integrate power/energy models into performance infrastructure platforms and develop tools to debug energy inefficiencies.

Pay and Benefits

Salary: USD 116,000 - 218,500 annually
Equity and Bonus:Equity

Key Requirements

  • •Pursuing or recently completed an MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
  • •Strong coding skills, preferably in Python and C++.
  • •Background in machine learning, AI, and/or statistical modeling.
  • •Background in computer architecture and interest in energy-efficient GPU designs.
  • •Ability to formulate/analyze algorithms and understand energy consumption, estimation, and low power design concepts.
Education:PhD / Doctorate
Skills:CommunicationInterpersonal skillsQuantitative analytics
Tech Stack:PythonC++Machine LearningAIStatistical modelingVerilogASIC designRTL simulationEmulationSilicon platforms

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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