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Junior Nvidia Data Scientist Jobs (NOW HIRING)

Benda Infotech

Junior Data Scientist

Chicago, IL

$70K - $100K/yr

Description Benda Infotech is excited to welcome a Junior Data Scientist to our innovative team in Chicago. This full-time, on-site position offers a fantastic opportunity for entry-level ...

New

Nvidia

... 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 ...

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 ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

Nvidia

... 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 ...

ARA

Junior Data Scientist

Alexandria, VA · On-site

$80K - $110K/yr

The Capabilities, Analysis and Development (CAD) division of Applied Research Associates, Inc. (ARA) has an outstanding opportunity for a Junior Data Scientist to support a multi-disciplinary team ...

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

As of Jul 19, 2026, the average yearly pay for junior nvidia data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How difficult is it to get hired at NVIDIA?

Getting hired as a Junior Nvidia Data Scientist can be competitive due to the company's high standards for technical skills, including proficiency in machine learning, deep learning, and programming languages like Python and CUDA. Candidates typically need a strong educational background, relevant internship experience, and a solid understanding of Nvidia's technologies and tools. The hiring process often involves multiple interviews and technical assessments to evaluate problem-solving abilities and technical knowledge.

What is the difference between Junior Nvidia Data Scientist vs Junior Machine Learning Engineer?

AspectJunior Nvidia Data ScientistJunior Machine Learning Engineer
Required CredentialsBachelor's in Data Science, Computer Science, or related field; familiarity with Nvidia toolsBachelor's in Computer Science, Software Engineering, or related; knowledge of ML frameworks
Work EnvironmentData analysis, modeling, using Nvidia GPU-accelerated toolsDeveloping, deploying ML models, often with Nvidia hardware
Industry UsageTech, AI research, data-driven companiesSoftware development, AI product teams, tech firms

Junior Nvidia Data Scientists focus on analyzing data and building models using Nvidia GPU-accelerated tools, while Junior Machine Learning Engineers develop and deploy ML models, often leveraging Nvidia hardware. Both roles require similar educational backgrounds but differ in daily tasks and industry focus.

Does NVIDIA hire data scientists?

Yes, NVIDIA hires data scientists to work on AI, machine learning, and data analysis projects. These roles often require skills in programming, statistical analysis, and familiarity with NVIDIA's tools and platforms. Job opportunities are available across various teams and locations within the company.

Is 40 too late for data science?

Age is not a barrier to becoming a Junior Nvidia Data Scientist or entering data science in general. Success depends on skills, relevant experience, and continuous learning, such as mastering tools like Python, R, and machine learning frameworks. Many professionals transition into data science later in their careers and find opportunities based on their expertise and adaptability.

How much does a data scientist make at NVIDIA?

A junior data scientist at NVIDIA typically earns between $70,000 and $100,000 annually, depending on experience, location, and education. Entry-level roles may start lower, while those with specialized skills in machine learning or deep learning can earn higher salaries. Compensation often includes benefits such as stock options and bonuses.
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Junior 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

Re-posted 25 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 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

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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