Senior Architecture Energy Modeling Engineer

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 136,000 - 264,500 annuallyFunction: Architecture & Urban PlanningExperience: 5+ yearsEducation: mastersSkills: ["Good verbal/written communication","Interpersonal skills","Quantitative decision-making","Algorithmic thinking"]

Build and advance ML- and statistics-based energy/power models for NVIDIA GPUs, CPUs, and Tegra SoCs. Partner with architects and hardware teams to define workloads and design features, train and validate unit power/energy models across the design cycle, and improve accuracy by testing representations and learning objectives. Integrate models into architectural simulators and performance platforms for combined power/performance reporting, and develop tools to debug energy inefficiencies on silicon and RTL.

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FursaFursa
NVIDIA
NVIDIA
4 days ago

Senior Architecture Energy Modeling Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Build and advance ML- and statistics-based energy/power models for NVIDIA GPUs, CPUs, and Tegra SoCs. Partner with architects and hardware teams to define workloads and design features, train and validate unit power/energy models across the design cycle, and improve accuracy by testing representations and learning objectives. Integrate models into architectural simulators and performance platforms for combined power/performance reporting, and develop tools to debug energy inefficiencies on silicon and RTL.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Architecture & Urban Planning
Seniority: Mid level

Key Responsibilities

  • •Develop an energy-efficient GPU energy model with architects, designers, and performance engineers.
  • •Identify key design features and workloads and use them to build ML-based unit power/energy models.
  • •Create and own methodologies/workflows to train models and improve accuracy using different representations, objective functions, and learning algorithms.
  • •Estimate data movement power/energy and correlate predictions across the design cycle to bridge early estimates to silicon.
  • •Integrate power/energy models into performance infrastructure platforms and develop tools to debug energy inefficiencies on silicon, RTL, and simulators.

Pay and Benefits

Salary: USD 136,000 - 264,500 annually
Equity and Bonus:Equity

Key Requirements

  • •MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
  • •5+ years of 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.
Experience:5+ years
Education:Master's in Electrical Engineering, Computer Engineering, Computer Science
Skills:Good verbal/written communicationInterpersonal skillsQuantitative decision-makingAlgorithmic thinking
Tech Stack:Machine LearningAIStatistical modelingPythonC++VerilogML/statistical techniquesRTL simulationEmulationSilicon platformsASIC designArchitectural simulators

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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