ZipRecruiter

Log In

2

Full Time Nvidia Data Scientist Jobs (NOW HIRING)

Nvidia

Senior Product Marketing Manager

Santa Clara, CA · On-site

$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 ...

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 ...

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 ...

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 generating synthetic data and ...

Smarsh

Lead Data Scientist

New York, NY

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

next page

Showing results 1-20

All JobsNvidia Data Scientist JobsFull Time Nvidia Data Scientist Jobs

Full Time Nvidia Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do full time nvidia data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for full time 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 Full Time Nvidia Data Scientist vs Full Time Nvidia Machine Learning Engineer?

AspectFull Time Nvidia Data ScientistFull Time Nvidia Machine Learning Engineer
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; experience with data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; experience with ML frameworks
Work EnvironmentData analysis, statistical modeling, data visualization in a corporate or research settingDeveloping, deploying ML models, software engineering tasks in a tech environment
Employer & Industry UsageUsed in data-driven decision making, analytics teams at NvidiaUsed in AI product development, software solutions at Nvidia

While both roles require strong technical skills and familiarity with Nvidia's ecosystem, data scientists focus on analyzing data and generating insights, whereas machine learning engineers develop and implement ML models. The roles often collaborate but differ in daily tasks and skill emphasis.

What cities are hiring for Full Time Nvidia Data Scientist jobs? Cities with the most Full Time Nvidia Data Scientist job openings:
What are the most commonly searched types of Nvidia Data Scientist jobs? The most popular types of Nvidia Data Scientist jobs are:
What states have the most Full Time Nvidia Data Scientist jobs? States with the most job openings for Full Time Nvidia Data Scientist jobs include:
Full Time Nvidia Data Scientist jobs near you
Senior Systems Software Security Engineer - Data Center Systems

Senior Systems Software Security Engineer - Data Center Systems

NVIDIA

Remote

Full-time

Posted 2 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

View All Nvidia Jobs

Apply