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AI and ML Power Methodology Engineer

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NVIDIA

1mo ago

  • Job
    Full-time
    Junior Level
  • Data
    Research & Development
  • Santa Clara
  • Quick Apply

AI generated summary

  • You need an MS/PhD, 2+ years experience, proficiency in Python/C++, knowledge of ML models, algorithms, and a focus on energy efficiency, plus strong communication skills.
  • You will develop AI/ML methodologies for estimating power, create tools for dataset management, analyze power patterns using LLMs, build data pipelines, and design visualizations for insights.

Requirements

  • 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.

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.

FAQs

What is the main focus of the AI and ML Power Methodology Engineer role at NVIDIA?

The main focus of the role is to research and develop methodologies that leverage innovative AI advancements to enhance NVIDIA's power efficiency in its products, particularly in energy management for graphics and AI workloads.

What qualifications do I need to apply for this position?

You need a Master’s degree (or equivalent experience) with proven experience or a PhD in related fields, along with at least 2 years of relevant experience.

What programming languages should I be proficient in for this role?

Proficiency in rapid prototyping using languages like Python and C++ is required, alongside a strong foundational knowledge of data structures, algorithms, and software engineering principles.

What kind of experience is preferred regarding AI/ML methodologies?

Familiarity with training and fine-tuning large language models, as well as working with advanced Retrieval-Augmented Generation (RAG) pipelines, vector databases, and agentic frameworks, is preferred.

Is teamwork an important aspect of this role?

Yes, close collaboration with HW/ML experts and infrastructure teams is essential for creating and improving power management solutions for NVIDIA's future AI products.

What types of tools will I be expected to develop in this role?

You will be expected to develop tools for gathering and analyzing power data, training and fine-tuning large language models, and creating user-friendly data visualizations for insight generation.

What is the salary range for the AI and ML Power Methodology Engineer position?

The base salary range is between 128,000 USD and 258,750 USD, determined based on factors such as location, experience, and compensation of employees in similar positions.

Are there additional benefits beyond salary for this position?

Yes, in addition to salary, you will also be eligible for equity and benefits as part of your compensation package.

How does NVIDIA approach diversity in the workplace?

NVIDIA is committed to fostering a diverse work environment and does not discriminate in hiring or promotion practices based on any characteristic protected by law.

Can I apply for the position if I have international experience?

Yes, NVIDIA welcomes applications based on relevant experience regardless of location, as long as the qualifications and skills match the job requirements.

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NVIDIA

Manufacturing & Electronics
Industry
10,001+
Employees
1993
Founded Year

Mission & Purpose

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.