NVIDIA · 15 hours ago
AI and ML Power Methodology Engineer
Santa Clara, CA
Full-time
Onsite
Entry, Mid Level
$136K/yr - $218K/yr
2+ years expNVIDIA is a leader in energy-efficient products, focusing on enhancing energy efficiency through innovative methodologies. The AI and ML Power Methodology Engineer will collaborate with experts to develop advanced AI methodologies that improve GPU energy efficiency and analyze power data for future AI solutions.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Research, develop and own advanced AI/ML/DL methodologies to estimate pre-silicon power and improve GPU energy efficiency
Develop tools that will help in the gathering, building, and annotation of domain specific datasets to train LLMs for different tasks, tools, and applications
Make a difference by leveraging Gen AI technologies to solve complex problems in chip design, driving innovation and meaningful impact across the Power team
Develop tools for training and fine-tuning large language models, advanced Retrieval-Augmented Generation (RAG) pipelines, vector databases and agentic frameworks
Build efficient data pipelines to gather power data from different sources, such as silicon, emulation, for developing advanced data-dependent methodologies
Design tools using LLMs to analyze power patterns, generate optimized code, and provide actionable insights for power debugging and optimization
Enable efficient storage and retrieval of data from databases
Develop user-friendly data visualizations to simplify data analysis and insight generation
Qualification
Required
MS (or equivalent experience) with proven experience or PhD in related fields
2+ years of experience
Proficiency in rapid prototyping using languages like Python and C++, with strong foundational knowledge of data structures, algorithms, and software engineering principles
Familiarity with training and fine-tuning large language models, advanced Retrieval-Augmented Generation (RAG) pipelines, vector databases and agentic frameworks
Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities
Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products
Good verbal/written English and interpersonal skills
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
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
Represents job field similar to this job
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
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