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Contractual 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

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 ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Data Scientist I supports government and program teams by assisting with data analysis ... contractual requirements which may cause an offer to fall outside of this range.

VTG

Data Scientist

Chantilly, VA

$165K - $210K/yr

... include contractual requirements which may cause an offer to fall outside of this range ... Data Scientist Level 2 Qualifications: Bachelor's degree or equivalent and five (5) years of ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... contractual requirements which may cause an offer to fall outside of this range.

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Contractual Nvidia Data Scientist information

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$243.5K

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

As of Jul 18, 2026, the average yearly pay for contractual 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 are the key skills and qualifications needed to thrive as a Contractual Nvidia Data Scientist, and why are they important?

To thrive as a Contractual Nvidia Data Scientist, you need a strong background in data science, machine learning, and programming languages such as Python or C++, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with Nvidia's GPU computing platforms (like CUDA), deep learning frameworks (such as TensorFlow or PyTorch), and certifications in data science or AI are typically required. Excellent problem-solving abilities, adaptability, and effective communication skills help you collaborate with teams and convey complex findings to stakeholders. These skills are essential for efficiently developing, optimizing, and deploying advanced AI solutions that leverage Nvidia's technologies in dynamic project environments.

What are some common challenges faced by contractual Nvidia Data Scientists when working on short-term projects?

Contractual Nvidia Data Scientists often need to quickly adapt to new teams and project objectives, which can be challenging given the rapid pace of short-term engagements. They may encounter limited access to company-specific datasets or proprietary tools, requiring strong problem-solving skills and flexibility. Additionally, clear communication and efficient collaboration with both technical and non-technical stakeholders are crucial, as time constraints demand fast, impactful contributions. Despite these challenges, such roles offer opportunities to work on cutting-edge AI projects and build a diverse professional portfolio.

What does a Contractual Nvidia Data Scientist do?

A Contractual Nvidia Data Scientist is a professional hired on a contract basis to work with Nvidia’s data science teams or on Nvidia-related projects. Their primary responsibilities include analyzing large datasets, developing machine learning models, and leveraging Nvidia's GPU technologies to optimize data processing and AI workflows. They may also collaborate with engineers and researchers to create solutions in fields like deep learning, computer vision, or natural language processing. This role typically requires strong programming and analytical skills, as well as experience with Nvidia’s software and hardware platforms.
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Contractual Nvidia Data Scientist jobs near you
Infographic showing various Contractual Nvidia Data Scientist job openings in the United States as of July 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 86% In-person, and 14% 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

Re-posted 24 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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