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Nvidia Statistics Jobs (NOW HIRING)

Nvidia

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 ...

Nvidia

Product Development Engineer

Santa Clara, CA

NVIDIA's GPUs are extraordinary in performance and efficiency, and we are continually innovating ... Strong data engineering skillset, with proficiency in Python, C or C++, and statistical modeling of ...

Nvidia

OR

We are seeking a creative and independent Product Engineer to join NVIDIA's innovative transceivers ... Strong statistics and data analysis background (JMP & Python) * Proven AI capabilities to produce ...

Nvidia

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 ...

Nvidia

Hardware Validation Engineer

Santa Clara, CA · Hybrid

$145K - $191K/yr

... statistical error rates and power analysis. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We ...

Nvidia

Senior Network Architect

Santa Clara, CA · Hybrid

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for 30 years. It ... Statistics, or equivalent experience. * 12+ years of experience in building, managing and ...

Nvidia

Senior Product Quality Engineer

Santa Clara, CA

$103K - $140K/yr

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have ... statistical process control. * Familiar with Linux system and Linux Shell Scripts. * Knowledge of ...

Nvidia

Supplier Quality Engineer

Santa Clara, CA

Proven understanding of data driven, statistical QC and QA problem solving methodology With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of ...

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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.
Solutions Architect - OEM AI

Solutions Architect - OEM AI

Nvidia

Santa Clara, CA

$74 - $97.50/hr

Full-time

Posted 17 days ago

Job description

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. Want to be part of the team that empowers NVIDIA's OEM technical counterparts to develop accelerated compute and AI solutions for their customers? We are looking for a hardworking and self-starting Solutions Architect with a passion for accelerated compute, data workflows and AI security to join our Solutions Architecture and Engineering team. This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense.

As a Solutions Architect in Accelerated Compute Data & Security passionate about high-performance computing, you will focus on integrating NVIDIA's software and tools with our OEM partners' offerings. This may involve working with platforms like Splunk, Cisco's AI threat protection and other AI Data Pipeline solutions. Your efforts will center on driving adoption, building proof-of-concept technologies, and aligning our technical messaging with our OEMs' broader product strategies.

What you'll be doing:

  • Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.

  • Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.

  • Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.

  • Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.

  • Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.

What we need to see:

  • BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience).

  • 5+ years of experience in roles focused on technology, including Solutions Architecture, Data Science, or AI Research.

  • Deep expertise in supervised and unsupervised machine learning, deep learning, and statistics, specifically applied to loosely-structured data and security logs.

  • Strong coding, debugging, and pipeline development skills using Python, C/C++, Bash, and Linux utilities.

  • Hands-on experience with big data and AI frameworks, including GPU acceleration, Spark, and distributed computing environments.

  • Exceptional communication and presentation skills, with an ability to distill complex technical topics into clear, understandable content for an engaged audience.

  • Strong analytical and problem-solving skills, along with an ability to multitask efficiently in a dynamic environment.

Ways to stand out from the crowd:

  • Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.

  • Demonstrated expertise integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems.

  • Experience working in a technical leadership role or principal investigator capacity on large-scale or secure enterprise projects.

  • Background in Agentic AI, LLM deployment, and building ingestion/retrieval technologies.

  • Public speaking experience at industry conferences or large technical events.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 24, 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.
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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

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