ZipRecruiter

Log In

1

Temporary Nvidia Data Scientist Jobs in Raleigh, NC

3M HEALTHCARE

Senior AI Security Researcher

Durham, NC · On-site

$250/hr

... data science, cyber-defense research, adversarial ML, LLM security, offensive security, threat hunting, or applied security research at scale! In this role, your research will help NVIDIA build AI ...

previous page

Showing results 41-60

All JobsNvidia Data Scientist JobsTemporary Nvidia Data Scientist JobsTemporary Nvidia Data Scientist Jobs in Raleigh, NC

Temporary Nvidia Data Scientist information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do temporary nvidia data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for temporary 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 difference between Temporary Nvidia Data Scientist vs Temporary Nvidia Data Analyst?

AspectTemporary Nvidia Data ScientistTemporary Nvidia Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related field; experience with machine learning and AIBachelor's in Data Analysis, Statistics, or related; proficiency in data visualization and SQL
Work EnvironmentCollaborates with AI/ML teams on complex models, often in R&D settingsSupports business insights, reports, and dashboards within corporate or project teams
Employer & Industry UsageTech companies, AI research labs, GPU-focused firmsBusiness intelligence, finance, marketing, and data-driven industries

Temporary Nvidia Data Scientists focus on developing AI and machine learning models, requiring advanced technical skills and research experience. In contrast, Temporary Nvidia Data Analysts primarily interpret data, create reports, and support decision-making with less emphasis on AI/ML techniques. Both roles are essential in tech and data-driven industries but serve different functions within organizations.

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:

What are popular job titles related to Temporary Nvidia Data Scientist jobs in Raleigh, NC?

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

What job categories do people searching Temporary Nvidia Data Scientist jobs in Raleigh, NC look for?

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

What cities near Raleigh, NC are hiring for Temporary Nvidia Data Scientist jobs?

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

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

Senior System Software Engineer - Performance

Durham, NC • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Full-time

Re-posted 19 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

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. Today, we're tapping into the unlimited potential of AI to define the next era of computing.

An era in which our tightly coupled CPU, GPU and DPU technology 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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Come join the team and see how you can make a lasting impact on the world. NVIDIA is searching for a highly motivated, technical engineer to join the Tegra system-on-chip (SoC) software organization. You will work on key aspects of our ARM SW ecosystem and system software architecture.

With a targeted charter to enable best-in-class datacenter-scale performance and efficiency for our next generation of datacenter products, including CPUs and CPU+GPU Superchips. What you will be doing: Design, develop, test, and optimize software for our next-generation SoCs. In both pre-silicon and post-silicon phases of execution.

Review architectural performance bottlenecks for various system wide work loads. Identify HW/SW policies to drive performance and performance/watt leadership. Using strong communication skills, build and drive architecture, analysis documents and communications to internal and/or external audiences about our technology.

Competitive analysis comparing uArchitecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors. Influence and drive full-stack adoption of performance optimizations and best practices across NVIDIA SW products & OSS SDKs What we need to see: BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience). 6+ years of relevant computer architecture or SW development experience.

Proven leadership skills and strong ownership on past projects. Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs. Strong understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming.

Strong stills in performance analysis, data analysis and performance optimization. Strong use of linux perf tool, application/library performance optimizations. Ways to stand out from the crowd: Deep expertise in ARM architecture and SW ecosystem.

Proficient in analyzing, debugging and tuning performance of complex system software stacks. Experience with CPU server system workloads and performance analysis. Familiarity with CUDA programming and/or GPUs.

Experience with HPC or large-scale computing environments. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 30, 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

View All Nvidia Jobs

Apply