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Nvidia Statistics Jobs (NOW HIRING)

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Taking ownership for the accuracy and statistical soundness of benchmark results that engineering ...

Solutions Architect, AI and ML

Seattle, WA

$71.75 - $94.50/hr

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud ... Statistics, Physics, or other Engineering fields or equivalent experience. * Established track ...

Solutions Architect, AI and ML

Seattle, WA

$71.75 - $94.50/hr

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud ... Statistics, Physics, or other Engineering fields or equivalent experience. * Established track ...

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud ... Statistics, Physics, or other Engineering fields or equivalent experience. * Established track ...

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud ... Statistics, Physics, or other Engineering fields or equivalent experience. * Established track ...

Solutions Architect, AI and ML

Redmond, WA

$70.50 - $93/hr

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud ... Statistics, Physics, or other Engineering fields or equivalent experience. * Established track ...

Solutions Architect, AI and ML

Redmond, WA

$70.50 - $93/hr

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud ... Statistics, Physics, or other Engineering fields or equivalent experience. * Established track ...

Solutions Architect, OEM AI

Santa Clara, CA

$74 - $97.50/hr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Deep expertise in supervised and unsupervised machine learning, deep learning, and statistics ...

OR

$63 - $83/hr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Deep expertise in supervised and unsupervised machine learning, deep learning, and statistics ...

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Nvidia Statistics information

What does someone working in Nvidia Statistics do?

A professional working in Nvidia Statistics typically analyzes data related to Nvidia's products, performance, and market trends. They use statistical methods and data analysis tools to interpret large datasets, generate insights, and inform business or engineering decisions. Their work may involve creating reports, developing predictive models, and collaborating with other teams to optimize Nvidia's products or strategies. This role is essential for helping Nvidia maintain a competitive edge through data-driven decision-making.

What are the key skills and qualifications needed to thrive as a Statistician at Nvidia, and why are they important?

To thrive as a Statistician at Nvidia, you need a solid background in statistics, mathematics, and data analysis, often supported by a relevant degree such as statistics, mathematics, or computer science. Familiarity with statistical software (like R, SAS, or Python), data visualization tools, and big data platforms is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help in interpreting complex data and collaborating with cross-functional teams. These skills are crucial for generating actionable insights that drive innovation and strategic decision-making at a data-driven company like Nvidia.

What are some common challenges faced by statisticians working at Nvidia, and how can they be addressed?

Statisticians at Nvidia often work with large-scale, complex datasets generated from cutting-edge hardware and software projects. One common challenge is ensuring data quality and consistency across diverse sources, which requires robust data cleaning and validation processes. Another is effectively communicating statistical insights to interdisciplinary teams, including engineers and product managers, who may not have a deep statistical background. Building strong collaboration skills and utilizing clear data visualization tools can help bridge these gaps and contribute to impactful decision-making.

What jobs can I do with statistics?

With a background in statistics, you can pursue roles such as data analyst, data scientist, statistician, or quantitative analyst. These jobs typically require skills in data analysis, statistical software, and programming languages like R or Python, and often involve interpreting data to support decision-making in various industries.

What is the difference between Nvidia Statistics vs Data Analyst?

AspectNvidia StatisticsData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fields; experience with Nvidia toolsBachelor's in Statistics, Mathematics, Data Science, or related fields
Work EnvironmentTech companies, AI, gaming, hardware industriesVarious industries including finance, healthcare, marketing
Employer & Industry UsagePrimarily in tech and hardware sectors using Nvidia productsAcross multiple sectors analyzing data for business insights
Common Search & ComparisonOften compared for data analysis roles involving Nvidia techGeneral data analysis roles, sometimes compared with Nvidia Statistics for specialized tasks

In summary, Nvidia Statistics focuses on analyzing data related to Nvidia products and technologies, often requiring knowledge of Nvidia tools and hardware. Data Analysts have a broader scope, working across industries to interpret data for strategic decisions. Both roles require similar educational backgrounds but differ in industry focus and specific technical skills.

Infographic showing various Nvidia Statistics job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution.
Senior Architecture Energy Modeling Engineer

Senior Architecture Energy Modeling Engineer

Nvidia

Austin, TX

$103K - $142K/yr

Full-time

Posted 2 days ago


Job description

We are now looking for an Sr. Architecture Energy Modeling Engineer!At NVIDIA, we pride ourselves in having energy-efficient products. We believe that continuing to maintain our products' energy efficiency compared to the competition is key to our continued success. Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, emulation and silicon platforms. Key responsibilities include developing Machine Learning based power models to analyze and reduce power consumption of NVIDIA GPUs.

As a member of the Power Modeling, Methodology and Analysis Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.

What you'll be doing:

  • Work with architects, designers, and performance engineers to develop an energy-efficient GPU.

  • Identify key design features and workloads for building Machine Learning based unit power/energy models.

  • Develop and own methodologies and workflows to train models using ML and/or statistical techniques.

  • Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.

  • Develop methodologies to estimate data movement power/energy accurately.

  • Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.

  • Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.

  • Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies.

  • Prototype new architectural features, build an energy model for those new features, and analyze the system impact.

  • Identify, suggest, and/or participate in studies for improving GPU perf/watt.

What we need to see:

  • MS (or equivalent experience) with proven experience or PhD in related fields.

  • 6+ years of experience.

  • Strong coding skills, preferably in Python, C++.

  • Background in machine learning, AI, and/or statistical modeling.

  • Background in computer architecture and interest in energy-efficient GPU designs.

  • Familiarity with Verilog and ASIC design principles is a plus.

  • Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.

  • Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.

  • Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.

  • Good verbal/written communication 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 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993