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Temporary Nvidia Data Scientist Jobs (NOW HIRING)

Winaxis

Data Scientist

Santa Clara, CA · On-site

Data Scientist - Nvidia Santa Clara from day 1 must be on-site 2nd round of interview will be F2F - Onsite at Santa Clara. ANY VISA Must have a strong and active LinkedIn profile. Worked with good ...

Nvidia

Senior Product Marketing Manager

Santa Clara, CA

$142K - $186K/yr

We are looking for a Product Marketing Manager to join the NVIDIA Data center product marketing ... Undergraduate education or equivalent experience in computer science, computer engineering, or a ...

Nvidia

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large ... Scientist to join our team and help advance our capabilities in synthetic data generation for ...

Quantiphi, Inc.

Senior Data Scientist

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading ... Senior Data Scientist (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote ...

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$165K

$243.5K

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

As of Jul 28, 2026, the average yearly pay for temporary nvidia data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.

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Temporary Nvidia Data Scientist jobs near you
Infographic showing various Temporary Nvidia Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Systems Software Security Engineer - Data Center Systems

Senior Systems Software Security Engineer - Data Center Systems

NVIDIA

Remote

Full-time

Posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 245 rated software companies

Job description

Job Summary:
NVIDIA is searching for a highly motivated, creative engineer with experience in system software security to join the Data Center Systems Software team. In this role, you will focus on securing NVIDIA’s Data Center Systems and delivering security features required for the success of NVIDIA’s Data Center business.
Responsibilities:
• Delivering security features required for the success of NVIDIA’s Data Center business.
• Engaging with NVIDIA teams and partners to drive implementation and deployment of security features and systems.
• Designing, implementing, and delivering innovations to secure AI Data Center systems with focus on Root of Trust (RoT) for boot, attestation, recovery, Out-of-Band management, debug, and overall security firmware development.
• Designing and developing optimized security solutions using and following industry standards such as OpenBMC, UEFI, TCG DICE, SPDM, PLDM, Redfish, NIST SP800-193 and CNSA2.0.
Qualifications:
Required:
• BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience).
• 5+ years of meaningful software and firmware security engineering experience.
• Excellent comprehension of security fundamentals.
• Experience with software development and lifecycle standards, e.g. threat modeling, unit testing, incident response, code audit, CI/CD etc.
• Experience in python, scripting and system programming.
• Background with modern server architectures.
• Effective written and verbal communication regardless of audience or issue complexity.
• Ability to work collaboratively and remotely with others to accomplish complex goals.
• Solid experience of end-to-end delivery of high-end enterprise servers from definition to customer deployment.
Preferred:
• In-depth familiarity with data center server architecture.
• In-depth understanding of the different deployment models for GPUs (e.g., HPC, AI cluster, single- or multi-GPU servers).
• Experience in Data Center modern networking architectures.
• Contribution to industry open-source security initiatives or standards.
• Experience in Data Center firmware and software management architecture.
• In-depth understanding of the Post-Quantum Cryptography transition.
• Experience in Linux and application security.
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

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