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Nvidia Cybersecurity Jobs in California (NOW HIRING)

Nvidia

AI Automation Engineer, Security

Santa Clara, CA · On-site

Familiarity with NVIDIA's AI stack and a genuine passion to build security programs on top of it. * Previous background in Information Security or Cybersecurity. Your base salary will be determined ...

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Nvidia Cybersecurity information

What is an Nvidia Cybersecurity?

An Nvidia Cybersecurity job involves protecting the company's systems, data, and infrastructure from cyber threats. Professionals in this role work on threat detection, risk assessment, vulnerability management, and incident response. They collaborate with IT and security teams to develop and implement security policies, ensuring compliance with industry standards. Additionally, they may use AI-driven security solutions to enhance threat analysis and mitigation.

What does an Nvidia Cybersecurity do?

A typical workday in Nvidia Cybersecurity involves monitoring security alerts, investigating potential threats, and collaborating with IT, engineering, and security teams to implement protective measures. Professionals frequently conduct vulnerability assessments, review system logs, and participate in incident response activities to ensure the organization's assets are secure. They may also help develop security protocols and provide guidance during code reviews. This dynamic environment offers continuous learning and a chance to work on cutting-edge technology alongside industry experts.

What are the key skills and qualifications needed to thrive in Nvidia Cybersecurity?

To succeed in Nvidia Cybersecurity, candidates typically require a strong background in information security, network defense, and risk assessment, often backed by a degree in computer science or a related field. Familiarity with cybersecurity tools such as SIEMs, IDS/IPS, and certifications like CISSP or CEH are highly valued. Analytical thinking, strong problem-solving abilities, and effective communication help individuals excel in cross-functional environments. These competencies ensure the protection of sensitive data, rapid response to threats, and seamless teamwork in a fast-paced technology landscape.

Does Nvidia Cybersecurity hire cybersecurity?

Nvidia Cybersecurity is a role focused on protecting Nvidia's systems and data from cyber threats. It typically involves skills in network security, threat analysis, and security tools, and may require relevant certifications such as CISSP or CEH. Nvidia often hires cybersecurity professionals to support its security infrastructure and product development.

What are the most commonly searched types of Nvidia Cybersecurity jobs in California?

The most popular types of Nvidia Cybersecurity jobs in California are:

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For Nvidia Cybersecurity jobs in California, the most frequently searched job titles are:

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The top searched job categories for Nvidia Cybersecurity jobs in California are:

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Cities in California with the most Nvidia Cybersecurity job openings:

Nvidia Cybersecurity jobs near you
Infographic showing various Nvidia Cybersecurity job openings in California as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

Security Research Engineer, AI Safety and Security Engineering

Nvidia

Santa Clara, CA • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA, widely recognized as one of the world's most desirable employers, believes open-weight models are foundational to American AI leadership, cybersecurity, and defense through broad scientific scrutiny. As part of this mission, our AI Safety & Security Engineering team builds and evaluates AI-powered tooling that finds, validates, and patches software vulnerabilities, recognizing that finding a bug is only the beginning. We are seeking a Security Research Engineer to advance our Validate and Patch capabilities by establishing what counts as a confirmed vulnerability and defining what constitutes a truly correct, safe fix. In this critical role, you will apply rigorous security judgment to well-defined categories of vulnerabilities. These affect NVIDIA-internal targets. You will turn complex analysis into repeatable methods that improve software people rely on daily.

Validation here requires meticulous care to confirm reports are real and reachable rather than noise, while patching requires ensuring fixes repair flaws, protect existing behavior, and hold up under strict revalidation. Working alongside harness and evaluation engineers, you will establish high engineering standards, document your reasoning for independent security reviews, and ensure your methods run reliably with fully traceable evidence. AI-assisted workflows are an integral part of this job, but so is maintaining a healthy, disciplined skepticism about their outputs. Beyond immediate fixes, your work will teach the entire program what trustworthy patching looks like while actively helping decide which vulnerability classes the team tackles next. Ultimately, we hold our results to an exceptionally high bar and value specific, verifiable proof of your technical expertise-such as CVEs, advisories, or original security tools-over polished phrasing.

What You'll Be Doing:

  • Validation methods: Develop techniques that confirm vulnerabilities are real and reachable.

  • Patch methods: Advance approaches for generating and verifying safe fixes.

  • Quality standards: Define correctness, regression, and revalidation standards with reviewers.

  • Applied research: Work bounded vulnerability classes against internal targets.

What We Need To See:

  • Bachelor's degree (or equivalent experience) with 12+ years in security research or software engineering.

  • Security foundations: Hands-on vulnerability research, fuzzing, program analysis, or secure development in C, C++, or Python.

  • Fix quality: Rigor about what makes a fix correct and safe, including regression and behavior preservation.

  • AI-assisted workflows: Comfort using AI-assisted tools for analysis and development.

Ways to Stand Out from the Crowd:

  • Public research: CVEs, advisories, or publications in vulnerability research.

  • Analysis tooling: Experience building or extending fuzzers, static analyzers, or symbolic-execution tools.

  • Agentic ML: Familiarity with LLM-based coding or analysis agents.


With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Confidential Computing and Data. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

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Hours and flexibility

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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

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