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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 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 ... Science, or related degree or equivalent experience. * 15+ overall years of experience in the area ...

Nvidia

Senior ASIC Power Engineer

Durham, NC · On-site

Background in computer architecture Artificial intelligence, the dream of computer scientists for ... learn from data and write software that is too complex for people to code. NVIDIA is widely ...

Nvidia

Senior Site Reliability Engineer - HPC

Durham, NC

$55 - $73.25/hr

... science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for ... data-driven operations (AIOps/ML-driven signals) that materially reduce manual intervention.

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Nvidia Data Scientist information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do nvidia data scientist jobs pay per year?

As of Jul 18, 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 the salary of a data scientist in NVIDIA?

The average salary for a data scientist at NVIDIA typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized expertise in AI and machine learning may earn higher compensation, often including bonuses and stock options.

Is a data scientist job still in demand?

Data scientist jobs remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the role often offers competitive salaries and growth opportunities.

What is a Nvidia Data Scientist job?

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 are the key skills and qualifications needed to thrive in the Nvidia Data Scientist position, 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 entry-level jobs at NVIDIA?

Entry-level jobs at NVIDIA for data scientists typically include roles such as Data Analyst, Junior Data Scientist, or Data Science Intern. These positions often require foundational skills in programming, statistics, and machine learning, and may involve working with NVIDIA's AI and GPU technologies. Internships and co-op programs are common pathways for recent graduates to enter the company as entry-level data scientists.

What types of projects do Nvidia Data Scientists 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.

How difficult is it to get hired at NVIDIA?

Getting hired as a data scientist at NVIDIA can be competitive, requiring strong technical skills in machine learning, deep learning, and programming languages like Python or C++. Candidates often need relevant experience, a solid educational background, and a good understanding of NVIDIA's technologies and products. The hiring process typically involves multiple interviews and technical assessments.
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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What cities near Raleigh, NC are hiring for Nvidia Data Scientist jobs? 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 July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.
Senior Product Manager - Structured Data Query Engines

Senior Product Manager - Structured Data Query Engines

Nvidia

Durham, NC

$122K - $161K/yr

Full-time

Re-posted 15 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. The world of computing is constantly evolving, and we believe that data scientists and engineers should be able to seamlessly accelerate their applications and workflows. NVIDIA CUDA-X brings accelerated computing to data science libraries, query engines, and vector databases to power data processing for the era of AI. This translates into faster results, lower costs, and better scalability through a new computing paradigm.

Want to get involved? We're looking for an outstanding Senior Product Manager to help guide development and drive enterprise adoption of accelerated computing in the world of structured data query engines spanning Presto, Velox, DuckDB, Polars, Spark, and more. You'll work with a community of developers, partners, researchers, and NVIDIA's world-leading engineering and field teams to help invent the future of accelerated data processing, from lakehouses to databases and everything in between.

What you'll be doing:

  • Define, own, and drive the strategy enabling the world's enterprises to adopt accelerated query engines powered by NVIDIA's platform

  • Engage deeply with customers, ISVs, storage partners, and CSPs to find opportunities to improve their experience, owning the voice of the customer and incorporating insights into hardware and software roadmaps and priorities

  • Collaboratively develop and lead enterprise go-to-market motions, working with a cross-functional team on asset creation, market research, positioning, enablement, etc.

  • Track and act on important measures for adoption, engagement, and customer success to continuously improve our value proposition and developer experience

  • Serve as the point person for presenting vision, opportunities, and progress, setting expectations and managing internal and external collaborators

What we need to see:

  • BS or MS Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Engineering, etc.) or equivalent experience

  • 10+ years of product management experience (or similar) focused on data analytics technologies

  • Excellent balance of deep technical and business knowledge of the data analytics space

  • Analytical approach and ability to synthesize user research, engineering feasibility, and market trends into product strategy

  • Track record of working closely with and activating partner ecosystems

  • Outstanding communication skills with demonstrated ability to articulate a value proposition to technical and non-technical audiences.

Ways to stand out from the crowd:

  • Experience with accelerated data analytics software, including cuDF

  • Experience collaborating with and contributing to open-source projects related to databases, lakehouse and warehouse query engines, or similar

  • Proven ability to thrive and succeed in a fast-paced environment with multiple priorities

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

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 - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 5, 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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