AI and ML Power Methodology Engineer

NVIDIA
Santa Clara
Full timeUSD 136,000 - 264,500 annuallyFunction: Energy & Utilities OperationsExperience: 5+ yearsEducation: mastersSkills: ["Verbal/written English","Interpersonal skills","Quantitative decision-making","Analytics"]

Develop and own advanced AI/ML/DL methodologies to estimate pre-silicon power and improve GPU energy efficiency. Build tools and data pipelines for collecting, building, and annotating domain datasets to train LLMs, and design LLM-based systems for power pattern analysis, optimized code generation, and actionable debugging insights. Work closely with HW/ML and infrastructure teams to advance energy efficiency for NVIDIA’s future AI solutions.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

AI and ML Power Methodology Engineer

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Last checked: 9 minutes agoStatus: Live

Job Summary

Develop and own advanced AI/ML/DL methodologies to estimate pre-silicon power and improve GPU energy efficiency. Build tools and data pipelines for collecting, building, and annotating domain datasets to train LLMs, and design LLM-based systems for power pattern analysis, optimized code generation, and actionable debugging insights. Work closely with HW/ML and infrastructure teams to advance energy efficiency for NVIDIA’s future AI solutions.
Location: Santa Clara
Employment Type: Full time
Job Function: Energy & Utilities Operations
Seniority: Mid level

Key Responsibilities

  • •Research, develop, and own AI/ML/DL methodologies to estimate pre-silicon power and improve GPU energy efficiency.
  • •Develop tools for gathering, building, and annotating domain-specific datasets to train LLMs for multiple tasks and applications.
  • •Build tools and pipelines for training/fine-tuning LLMs, including advanced RAG pipelines, vector databases, and agentic frameworks.
  • •Create efficient data pipelines to collect power data from sources such as silicon and emulation for data-dependent methodologies.
  • •Design LLM-based tools to analyze power patterns, generate optimized code, and provide insights for power debugging and optimization.

Pay and Benefits

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

Key Requirements

  • •MS (or equivalent experience) with proven experience or a PhD in a related field.
  • •5+ years of experience.
  • •Proficiency in rapid prototyping using Python and C++ with strong fundamentals in data structures, algorithms, and software engineering principles.
  • •Familiarity with training and fine-tuning large language models, RAG pipelines, vector databases, and agentic frameworks.
  • •Ability to formulate and analyze algorithms, including runtime and memory complexities.
Experience:5+ years
Education:Master's
Skills:Verbal/written EnglishInterpersonal skillsQuantitative decision-makingAnalytics
Languages:English
Tech Stack:PythonC++AI/ML/DLLLMsGen AIRetrieval-Augmented Generation (RAG)Vector databasesAgentic frameworksData pipelinesData visualizationsDatabases

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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