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Internship Nvidia Data Scientist Jobs (NOW HIRING)

... Scientist to join our team and help advance our capabilities in synthetic data generation for ... maintain NVIDIA's technical leadership. * Mentor interns and junior researchers to develop ...

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 ...

... Scientist to join our team and help advance our capabilities in generating synthetic data and ... maintain NVIDIA's technical leadership. * Mentor interns and junior researchers to develop ...

OR · On-site

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High ... What we need to see: * BS or MS degree in Computer Engineering, Computer Science, or related degree ...

Data Science and Data Engineering Job Qualifications: Skills: Machine Learning Model Management ... Desired Skills: * Experience with edge AI hardware (NVIDIA Jetson, Coral TPU, rugged ARM/x86 ...

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

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Internship Nvidia Data Scientist information

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

As of Jun 14, 2026, the average yearly pay for internship 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 Internship Nvidia Data Scientist vs Data Analyst Intern?

AspectInternship Nvidia Data ScientistData Analyst Intern
Required CredentialsRelevant coursework, basic programming skills, possibly some experience in machine learningBasic statistics, Excel, SQL, and data visualization skills
Work EnvironmentTech company, collaborative, research-focused, often in AI and machine learning projectsBusiness or corporate setting, focused on reporting, data cleaning, and analysis
Employer & Industry UsagePrimarily in tech, AI, and hardware industries like NvidiaAcross various industries including finance, marketing, and retail

The Internship Nvidia Data Scientist role is more research and machine learning-oriented, requiring programming and analytical skills, while a Data Analyst Intern focuses on data reporting and visualization. Both internships provide valuable industry experience but differ in technical depth and project focus.

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What cities are hiring for Internship Nvidia Data Scientist jobs? Cities with the most Internship 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 Internship Nvidia Data Scientist jobs? States with the most job openings for Internship Nvidia Data Scientist jobs include:
Senior Systems Software Security Engineer - Data Center Systems

Senior Systems Software Security Engineer - Data Center Systems

NVIDIA

Remote

Full-time

Posted 20 days ago


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.

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