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Temporary Nvidia Data Scientist Jobs in Raleigh, NC

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 ...

Truist

Decision Science Lead

Raleigh, NC

Regular or Temporary: Regular Language Fluency: English (Required) English Work Shift: 1st shift ... The successful candidate will lead analytical initiatives from data exploration through model ...

NCSU

Temporary Research Assistant

Raleigh, NC · On-site

$16.75 - $23.25/hr

The successful applicant will conduct literature searches on invasive species, manage data and ... The ideal candidate will have completed a graduate degree in life sciences, environmental sciences ...

Labcorp

Sr Curation Scientist

Durham, NC · On-site +1

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Sponsorship (including H-1B, OPT/CPT, EAD, or other temporary work authorization) is not available.

Labcorp

Sr Curation Scientist

Durham, NC · On-site

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Sponsorship (including H-1B, OPT/CPT, EAD, or other temporary work authorization) is not available.

NCSU

Temporary Research Specialist

Raleigh, NC

Data analysis, statistical modeling, data mining * Publication writing * Assist in processing ... Department Information Job City & State Raleigh, NC Department Poultry Science System Information ...

NCSU

Temporary Research Technician

Raleigh, NC

$15.75 - $21.50/hr

The technician will assist in a variety of tasks aimed at data visualization and statistics related ... Department Information Job City & State Raleigh, NC Department Crop and Soil Sciences System ...

NCSU

Temporary IT Analyst / Programmer II

Raleigh, NC · On-site

$30 - $39/hr

... Plant Sciences Initiative (PSI). The successful candidate will design custom software to ... IoT systems and create data pipelines that integrate edge, cloud, and on-premises computing ...

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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?

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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, 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.

Senior System Software Engineer - Data Center Compute Diagnostics

Nvidia Corporation

Durham, NC • On-site

$118K - $156K/yr

Full-time

Posted 19 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

We are seeking a senior system software engineer to lead technically and own key parts of our low-level diagnostic software. This software supports next-generation data center GPUs and rack-scale AI systems. Our team builds software that exercises and validates complex hardware, including processing units, storage and cache architectures, NICs, PCIe and NVLink interfaces, power delivery, and thermal behavior. This role is well suited to a senior embedded, firmware, device-driver, hardware-validation, or systems software engineer with a record of leading complex software projects that directly interface with hardware. Relevant experience may come from GPUs, CPUs, networking, storage, servers, embedded systems, or other complex silicon-based products. Prior GPU, CUDA, or GEMM experience is helpful for the role; deep experience developing low-level software for complex hardware systems is required.
This is a hands-on software development role in which you will architect, implement, debug, and maintain key components of the diagnostic software through validation, productization, and field support. In addition to making substantial individual code contributions, you will lead complex development efforts, mentor other engineers, and collaborate with hardware architects, driver developers, silicon-validation engineers, manufacturing teams, and field engineers to bring up new hardware and diagnose difficult system failures. Join an exciting, rewarding, and fast-moving environment building the systems that power modern AI.
What you'll be doing:
  • Architecting and developing diagnostic and stress software in C/C++ and Python for complex hardware systems.
  • Leading development efforts across multiple engineers, breaking ambiguous problems into actionable work, and mentoring engineers in low-level software development and debugging.
  • Interfacing with hardware blocks, firmware, Linux device drivers, registers, telemetry, and low-level debugging tools.
  • Assessing new hardware features and defining effective diagnostic and stress strategies for engineering validation, manufacturing, product qualification, and field use.
  • Designing targeted tests for compute engines, memory and cache subsystems, DMA engines, NICs, PCIe/NVLink interfaces, power, and thermal behavior.
  • Developing diagnostic and stress workloads ranging from low-level tests for GPU hardware to higher-level AI workloads using CUDA programming, GEMM-style compute, NCCL, and PyTorch.
  • Investigating complex hardware and software failures involving memory errors, ECC, data integrity, performance, thermals, voltage/frequency behavior, and high-speed interfaces.
  • Using modern development and analysis tools, including AI-assisted tools where appropriate, to accelerate coding, debugging, test creation, and failure analysis.

What we need to see:
  • BS or MS degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent experience.
  • 12+ years of experience in embedded software, firmware, Linux device drivers, systems software, hardware validation, diagnostics, or silicon bring-up.
  • Experience providing technical leadership for a complex software component or project, including coordinating work among various engineers and mentoring others.
  • Strong programming skills in C and C++, plus working proficiency in Python.
  • Extensive experience developing software that interacts with hardware, firmware, device drivers, hardware registers, or other low-level interfaces.
  • Background with PCIe, NVLink, or networking technologies such as Ethernet or InfiniBand.
  • Strong understanding of computer architecture concepts such as memory systems, caches, interrupts, DMA, buses, device I/O, bandwidth constraints, and hardware error behavior.
  • Experience debugging complex failures across hardware, firmware, device drivers, operating systems, and applications.
  • Ability to define technical direction, make sound engineering tradeoffs, and drive ambiguous problems through completion across organizational boundaries.
  • Excellent written and verbal communication skills, including the ability to communicate effectively with hardware architects, software engineers, manufacturing teams, field engineers, and technical leadership.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 3, 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

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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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