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Nvidia Data Scientist Jobs in Raleigh, NC (NOW HIRING)

Nvidia

Senior AI Security Researcher

Durham, NC · On-site

NVIDIA is looking for a Senior AI Security Researcher to help define how frontier AI systems ... The right person may come from AI security, ML security, malware data science, cyber-defense ...

NVIDIA

Senior AI Security Researcher

Durham, NC · On-site

The right person may come from AI security, ML security, malware data science, cyber-defense ... Help shape NVIDIA's AI-security research strategy by mentoring others, identifying emerging risks ...

Nvidia

Senior Architect, Data Center Modeling

Durham, NC

$65 - $87/hr

At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance ... Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related ...

Nvidia

Senior Architect, Data Center Modeling

Durham, NC

$65 - $87/hr

At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance ... Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related ...

Nvidia

Director, Rack Scale Software Architecture

Durham, NC · On-site

$244K/yr

NVIDIA has a rapidly expanding ecosystem of data center platform & node designs. From single node ... Computer Science, or related degree or equivalent experience. 15+ overall years of experience in ...

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Nvidia Data Scientist information

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$44.7K

$160.4K

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How much do nvidia data scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for nvidia data scientist in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What is a Nvidia data scientist?

A Nvidia Data Scientist leverages AI, machine learning, and deep learning to develop models and algorithms that optimize GPU-accelerated computing solutions. They work with large datasets, conduct research, and build scalable data-driven solutions for industries like gaming, autonomous vehicles, and healthcare. Their role involves collaborating with engineers and researchers to improve AI frameworks and performance on Nvidia hardware. Proficiency in Python, deep learning frameworks (TensorFlow, PyTorch), and data analytics is essential.

What types of projects does a Nvidia data scientist typically work on, and how do they contribute to the company's core technologies?

Nvidia Data Scientists are often involved in pioneering projects related to AI model development, computer vision, natural language processing, and deep learning applications optimized for GPU hardware. They collaborate closely with research engineers, software developers, and product teams to create scalable AI solutions that enhance Nvidia’s products, ranging from gaming to autonomous systems. A typical week might involve experimenting with new algorithms, analyzing large datasets, optimizing code for GPU acceleration, and translating research breakthroughs into practical applications. This role offers continuous learning opportunities and plays a direct part in shaping industry-leading technologies.

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

To thrive as an Nvidia Data Scientist, you need a solid background in statistics, machine learning, computer science, and typically a graduate degree in a related field. Proficiency with Python, deep learning frameworks (such as TensorFlow or PyTorch), GPU computing, and experience with large-scale data systems are highly valued, along with relevant certifications. Analytical thinking, strong problem-solving abilities, and clear communication are soft skills that set candidates apart in this collaborative, fast-evolving field. These capabilities are essential for driving innovation, building robust AI solutions, and contributing effectively to cross-functional teams at Nvidia.

What are the most commonly searched types of Nvidia Data Scientist jobs in Raleigh, NC?

The most popular types of Nvidia Data Scientist jobs in Raleigh, NC are:

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For Nvidia Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:

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The top searched job categories for Nvidia Data Scientist jobs in Raleigh, NC are:

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Cities near Raleigh, NC with the most Nvidia Data Scientist job openings:

Nvidia Data Scientist jobs near you
Infographic showing various Nvidia Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

Senior Product Marketing Manager - Data Processing

Durham, NC

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidiaexternal

$116K - $153K/yr

Full-time

Re-posted 2 days ago

Job description

We want to welcome a marketing professional with a technical background to our product marketing team. In this role, you will guide data engineers, analytics engineers, and database engineers toward understanding the value of accelerated computing for data processing. You will plan and advance strategic marketing campaigns that boost the adoption of NVIDIA's data processing software and hardware platforms. Are you familiar with the data analytics and database ecosystem, its personas, and their workflows? Do you have insight into key use cases, segments, and frequently applied algorithms in targeted industries, such as financial services, retail, manufacturing, and scientific computing? If so, this role might suit you well!

What you'll be doing:

  • Lead positioning, messaging and launches for key data processing products

  • Capture practitioner feedback and test messaging through community activities such as live-streams, hackathons and meetups

  • Carry out ecosystem analysis to guide our positioning and assist campaigns that convey our key messages

  • Develop technical content including blogs and videos to support data engineers in using NVIDIA's SDKs

  • Develop presentations aimed at educating industry and business analysts and PR on our positioning and value proposition

  • Support market introduction for NVIDIA hardware platforms for data processing as part of cross-functional teams

  • Interact directly with the data engineer and database community and showcase key technologies at events

What we need to see:

  • 5+ years' experience with launching, go-to-market and scaling technical product adoption for data scientists or developers.

  • Bachelor's degree in a scientific or technical field (or equivalent experience).

  • Understanding of data analytics, data engineering and database environment

  • Familiarity with key analytics and database technologies

  • Comfortable explaining Python code used in presentations, demos, and articles.

Ways to stand out from the crowd:

  • Clearly convey your comprehension of NVIDIA's approach and technology for data processing.

  • Measurable impact (metrics, awards, key accomplishments) you can share.

  • Growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers.

  • Building and nurturing technical communities.

With highly competitive salaries and a full benefits package, NVIDIA is known as one of the technology world's most desirable employers. We employ some of the most hard-working and dedicated people worldwide. Our product marketing teams are growing quickly. If you're a creative and independent technical marketer passionate about technology, we want to hear from you. Join us and make a lasting impact!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 3, and 152,000 USD - 230,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

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