NVIDIA Corporation

AI and ML Power Methodology Engineer

NVIDIA Corporation$136K — $264K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • MS or equivalent experience, or PhD in relevant fields
  • 5+ years of experience in the industry
  • Proficiency in Python and C++, with strong knowledge of data structures
  • Experience with training large language models and advanced RAG pipelines
  • Ability to analyze algorithms and their efficiencies
  • Strong interest in quantitative decision-making for energy efficiency
  • Effective communication skills in English

Responsibilities

  • Research and develop AI/ML methodologies for estimating GPU power consumption
  • Create tools for collecting and annotating domain-specific datasets for LLM training
  • Leverage Gen AI technologies for innovation in chip design
  • Develop tools for training large language models and RAG pipelines
  • Build data pipelines to gather power data from various sources
  • Design tools utilizing LLMs for power analysis and code optimization
  • Create user-friendly data visualizations for easier data interpretation

Benefits

  • Equity options
  • Comprehensive health benefits
  • Professional development opportunities
  • Flexible work arrangements
  • Access to advanced AI technologies for creative projects
Full Job Description
As an essential part of our Power Team, you'll closely collaborate with HW/ML experts and infrastructure teams. You'll work together to create new and improved ways to fix and improve power for NVIDIA's future AI solutions. Your contributions will help us understand energy usage in graphics and AI workloads and make improvements in architecture, design, and power management.

What you'll be doing:
  • 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.


What we need to see:
  • MS (or equivalent experience) with proven experience or PhD in related fields.
  • 5+ 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.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 8, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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