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

Nvidia

EDA Workflow Optimization Engineer

Durham, NC · Hybrid

$107K - $127K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Experience in applying data analysis principles and influencing data-driven decisions.

Nvidia

Senior HPC and LSF Operations Engineer

Durham, NC · Hybrid

$101K - $138K/yr

Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive ... Bachelor's degree in Computer Science or related field, or equivalent experience * Minimum 5+ years ...

Nvidia

Senior Software Engineer, Agentic AI

Durham, NC

$118K - $156K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Work closely with teams building high-performance data pipelines, RAG systems, vector databases ...

NVIDIA

Senior Site Reliability Engineer - HPC

Durham, NC · On-site

$55 - $73.25/hr

NVIDIA has been transforming computer graphics and accelerated computing for over 25 years. They ... S. degree in Computer Science or related technical field (or equivalent experience) with 5+ years ...

Nvidia

Senior Software Engineer - HPC

Durham, NC · Hybrid

$118K - $156K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Improve uptime and Quality of Service (QoS) through data-driven operations, strong SLOs, and robust ...

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Nvidia Data Scientist information

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$44.7K

$160.4K

$236.7K

How much do nvidia data scientist jobs pay per year?

As of Jul 20, 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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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.
Software Verification Engineer - Air Platform Team

Software Verification Engineer - Air Platform Team

Nvidia

Durham, NC

Full-time

Re-posted 4 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. It's an outstanding legacy of innovation that's motivated by extraordinary technology -and amazing people.

NVIDIA is looking for an experienced Software Verification Engineer to join our Air team - the Digital Twin for Data Center Simulation web application. To learn more, visit https://air.nvidia.com. As a Software Verification Engineer, you will play a crucial role in ensuring the quality and reliability of the Air simulation platform by verifying that features are delivered with the highest quality in a timely manner. This position offers the opportunity to have a real impact in an influential, technology-focused company impacting product lines that power the most advanced data centers in the world. We have crafted a team of outstanding people, whose mission is to push the frontiers of what is possible today and define the platform for the future of data center simulation and design.

What you'll be doing:

  • Design and implement test strategies, test plans, and test cases using automated flows and modern test methodologies.

  • Perform software verification and validation, including functional, regression, and system integration testing.

  • Identify, analyze, and track software defects while collaborating with developers to drive resolutions.

  • Partner with cross-functional teams to translate requirements into testable designs and provide feedback on product quality.

  • Participate in code reviews, contribute to test automation frameworks, and improve software maintainability and testability.

  • Stay current with emerging tools and technologies in networking and software testing to enhance coverage and efficiency.

What we need to see:

  • BS in Computer Science, Software Engineering, or equivalent experience.

  • 3+ years of experience in software verification and testing, ideally within networking or distributed systems.

  • Hands-on experience with Robot Framework and automated test development.

  • Proficiency in scripting languages such as Python (Node.js a plus).

  • Familiarity with software test methodologies, tools, and CI/CD frameworks.

  • Experience with QEMU, Docker, or similar virtualization and container technologies.

  • Knowledge of Git and experience working within agile development environments.

  • Excellent problem-solving, analytical, and communication skills.

Ways to stand out from the crowd:

  • Deep understanding of RESTful APIs and asynchronous programming.

  • Strong knowledge of Linux networking, TCP/IP, and common network protocols.

  • Hands-on experience with Kubernetes or other large-scale container orchestration systems.

  • Familiarity with cloud or data center technologies (e.g., OpenStack, VMware).

  • Demonstrated contributions to open-source projects or test automation frameworks as well as a passion for building reliable systems and pushing the boundaries of software verification in simulation environments.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 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.

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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