1

Temporary Nvidia Data Scientist Jobs in Raleigh, NC

Senior Site Reliability Engineer - HPC

Durham, NC · On-site

$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.

Senior AI Security Researcher

Durham, NC · On-site

$272 - $431.25/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 ...

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.

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 ...

Showing results 21-40

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 Aug 18, 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:

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, 82% Full Time, 13% Part Time, 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.

Principal Software Engineer, Distributed Systems Engineer - DGX Cloud

NVIDIA

Durham, NC • On-site

Full-time

Re-posted 6 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

Job Summary:
NVIDIA is hiring experienced software engineers with kubernetes experience to help scale up its AI Infrastructure. The role involves working on production systems for large scalable GPU clusters and implementing monitoring capabilities to ensure reliability and performance.
Responsibilities:
• You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to scheduling GPU resources on kubernetes.
• Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
• Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.
Qualifications:
Required:
• Significant software engineering experience with kubernetes including cluster operations, operator development, node health monitoring and working with GPU resource scheduling.
• Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work.
• Software development experience with kubernetes APIs and frameworks not just operating a cluster.
• Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.
• 15+ years in similar role and experience on large-scale production systems.
• Experience with common software engineering principles, tools and techniques.
• You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience.
• Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms.
Preferred:
• Technical competency in managing and automating large-scale distributed systems independent of cloud providers.
• Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager).
• Proven operational excellence in maintaining reliable and performant AI infrastructure.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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

Year founded

1993