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Full Time Nvidia Data Scientist Jobs (NOW HIRING)

We are seeking a diligent and analytical ODM Business Operations Manager to join NVIDIA's Data ... Bachelor's or Master's degree in Data Science, Business, or Finance or equivalent experience (MBA ...

Remote (US-based preferred) Type: Full-time Lumi is seeking a talented Data Scientist to join our growing team. As a Data Scientist at Lumi, you'll be responsible for developing and implementing data ...

Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. • Experience in Statistical modeling. • Candidate will ...

OR

$134.90K - $180.80K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Bachelor's degree in Computer Science/Engineering, Electrical Engineering, or a related field (or ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Citizen Employment Type: FULL_TIME

Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. Experience in Statistical modeling. Candidate will be helping ...

Overview We are seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

Overview We are seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

$55 - $60/hr

Data Scientist Location: 100% remote Duration: 6 months CTH Must be able to convert to full time without requiring sponsorship. Pay rate-$55-60/hr on W2 We are looking for a senior level Data ...

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Full Time Nvidia Data Scientist information

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$46K

$165K

$243.5K

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

As of May 28, 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:
Principal System Software Engineer - Data Center MODS

Principal System Software Engineer - Data Center MODS

Nvidia

Santa Clara, CA • On-site

$158.50K - $212.60K/yr

Full-time

Posted 22 days ago


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 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. 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!

The Data Center MODS organization seeks a Principal Engineer to architect and scale next-generation L10 and L11 diagnostic systems for Cloud Service Providers (CSPs). In this high-impact role, you will define the technical roadmap and lead multi-functional development to deploy robust diagnostic frameworks for AI accelerator products. Proficiency in distributed systems and hardware / software interfaces is essential for success.

What you'll be doing:

  • Define technical strategy and development of NVIDIA's Data Center diagnostic systems, orchestrating large-scale stress testing for CPUs, GPUs, networking, memory, and high-speed interconnects.

  • Mentor and grow engineering teams, providing technical leadership and encouraging a culture of innovation and excellence.

  • Drive the root-cause analysis of systemic failures that intersect multiple hardware and software domains.

  • Partner with CSPs to diagnose and address scalability challenges within their unique data center infrastructures.

What we need to see:

  • Bachelor's degree in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).

  • 15+ years of system software experience working on highly resilient distributed systems with programming experience in C++ or Python.

  • Deep systems knowledge of x86/ARM architectures, Linux OS internals, firmware (UEFI/BIOS), Redfish, HMC, BMC protocols and platform security.

  • Consistent track record demonstrating technical leadership leading project teams and setting technical direction.

  • Expertise in software testing methodologies with an automation-led, AI-first approach to ensuring software quality

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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