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60 Nvidia Senior Security Engineer Jobs Hiring Near You

Nvidia

Senior Staff AI Platform Engineer

Santa Clara, CA

$122.70K - $168.50K/yr

NVIDIA is looking to hire a deeply technical, creative, and Senior AI Platform Engineer to build ... Experience with infrastructure and application security practices, such as identity/auth, network ...

Nvidia

Senior DevOps Engineer - Robotics

Santa Clara, CA

$152.70K - $196.10K/yr

We are seeking a highly skilled and experienced Senior DevOps Engineer to join NVIDIA's Robotics ... Strong Linux systems expertise, including networking, storage, performance, and security. * A ...

Nvidia

OR · On-site

$122.40K - $161.30K/yr

As a Senior Software Engineer, you will help drive the design and development of our agent compute ... Comprehensive understanding of infrastructure security NVIDIA is widely considered to be one of the ...

Nvidia

OR

NVIDIA is defining the next era of computing by tapping into the unlimited potential of AI, an era ... Implement and harden network security features, including policy enforcement, L4/L7 proxies, and ...

NVIDIA

Senior DevOps Engineer - Robotics

Santa Clara, CA · On-site

$151.50K - $194.60K/yr

We are seeking a highly skilled and experienced Senior DevOps Engineer to join NVIDIA's Robotics ... Strong Linux systems expertise, including networking, storage, performance, and security. * A ...

NVIDIA

Senior Staff AI Platform Engineer

Santa Clara, CA · On-site

$122.70K - $168.50K/yr

NVIDIA is looking to hire a deeply technical, creative, and Senior AI Platform Engineer to build ... security practices, such as identity/auth, network segmentation, supply chain security, and ...

Nvidia

OR

$122.40K - $161.30K/yr

Continuously discover emerging agentic frameworks and drive integrations that expand the NVIDIA agentic ecosystem * Mentor junior engineers and review contributions from internal and external ...

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Nvidia Jobs Information

What are the key skills and qualifications needed to thrive as a Senior Security Engineer, and why are they important?

To thrive as a Senior Security Engineer, you need deep expertise in network security, risk assessment, incident response, and a relevant degree or equivalent experience. Familiarity with security tools such as SIEM platforms, firewalls, IDS/IPS, and certifications like CISSP or CEH are typically required. Strong analytical thinking, effective communication, and leadership abilities help you excel in complex security environments. These skills and qualifications are crucial to safeguard organizational assets and maintain robust defense against evolving cyber threats.

How does a Senior Security Engineer typically collaborate with other departments to enhance organizational security?

Senior Security Engineers frequently work cross-functionally, partnering with IT, software development, and compliance teams to implement security best practices and respond to incidents. They play a key role in conducting security reviews, advising on secure design, and leading incident response efforts. Effective communication and collaboration are essential, as these engineers often translate technical risks into business terms and provide guidance during audits or vulnerability assessments. This collaborative approach helps ensure comprehensive protection across all organizational assets.

What does a Senior Security Engineer do?

A Senior Security Engineer is responsible for designing, implementing, and maintaining an organization's security infrastructure. They assess potential risks, respond to security incidents, and develop strategies to protect digital assets from cyber threats. Their role often involves leading security projects, mentoring junior engineers, and ensuring compliance with industry standards and regulations. By staying updated on the latest security technologies and threats, they help safeguard the organization's information systems.

What is the difference between Senior Security Engineer vs Security Analyst?

AspectSenior Security EngineerSecurity Analyst
Required CredentialsCertifications like CISSP, CISA, CEH; Bachelor's or Master's in Cybersecurity or related fieldsCertifications like CompTIA Security+, GIAC Security Essentials; Bachelor's in Cybersecurity, Information Technology, or related fields
Work EnvironmentDesigning security systems, implementing security measures, leading security projectsMonitoring security alerts, analyzing threats, conducting security assessments
Employer & Industry UsageUsed in tech companies, finance, healthcare for security infrastructure rolesCommon in various industries for threat detection and incident response

The main difference is that Senior Security Engineers focus on designing and implementing security solutions, while Security Analysts primarily monitor and analyze security threats. Both roles require relevant certifications and work in similar environments, but their responsibilities differ in scope and focus.

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.
What other companies are hiring for Senior Security Engineer jobs?
What are the most popular jobs at Nvidia?
What are the most popular categories at Nvidia?
Infographic showing various Senior Security Engineer job openings at Nvidia in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 85% Physical, 13% Hybrid, and 2% Remote job distribution.
Senior AI Security Researcher

Senior AI Security Researcher

Nvidia Corporation

Durham, NC • On-site

Full-time

Posted 20 days ago

Job description

NVIDIA is looking for a Senior AI Security Researcher to help define how frontier AI systems, agentic applications, and AI-enabled security automation are tested, attacked, defended, and safely deployed. You will build new methods, tools, evaluations, and proofs of concept that help NVIDIA understand and reduce security risk across AI models, AI platforms, autonomous agents, cloud services, developer tooling, and accelerated computing systems!
We are looking for a researcher who can move fluidly from open-ended research questions to application within working systems: someone who can discover novel failure modes, build rigorous evaluation harnesses, prototype adversarial and defensive techniques, and turn findings into practical mitigations for engineering teams. The right person may come from AI security, ML security, malware data science, cyber-defense research, adversarial ML, LLM security, offensive security, threat hunting, or applied security research at scale!
What You'll Be Doing:
  • Develop and answer open-ended AI security research questions that helps NVIDIA understand, measure, and reduce risk in frontier models, agentic systems, AI platforms, and AI-enabled products.
  • Develop practical methods, prototypes, evaluations, or tools that reveal how AI systems can fail under adversarial conditions and how those risks can be mitigated.
  • Explore a range of AI security problems, such as LLM and agent security, adversarial testing, model evaluation, cyber-defense automation, vulnerability discovery, secure deployment, or autonomous response.
  • Translate research into usable outcomes for engineering and security teams, including proof-of-concept demonstrations, benchmarks, technical guidance, mitigations, and secure-by-design recommendations.
  • Collaborate across offensive security, product security, AI research, platform, cloud, and infrastructure teams to connect research insights with NVIDIA's highest-impact security priorities.
  • Help shape NVIDIA's AI-security research strategy by mentoring others, identifying emerging risks, and building repeatable practices for evaluating and defending AI systems.

What We Need to See:
  • 12+ years of experience in AI security, cybersecurity research, applied ML research, offensive security, cyber defense, or related technical fields.
  • Demonstrated record of original research and practical impact, such as deployed security ML systems, AI-security evaluations, CVEs, patents, publications, conference talks, open-source tools, production mitigations, or funded research programs.
  • Hands-on ability to build working research systems in Python and modern ML/data tooling such as PyTorch, JAX, TensorFlow, scikit-learn, Pandas, NumPy, Spark, BigQuery, or comparable platforms.
  • Experience with one or more AI-security areas: LLM security, adversarial ML, model evaluation, agent security, prompt injection, model backdoors, data poisoning, model abuse, secure RAG, synthetic data, or AI-enabled security automation.
  • Strong cybersecurity foundation, including threat modeling, adversary simulation, exploit or vulnerability research, malware analysis, network defense, threat hunting, detection engineering, digital forensics, secure code review, or incident-response automation.
  • Ability to work across ambiguous research problems and practical product constraints, translating findings into prioritized recommendations and measurable security outcomes.
  • Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Cybersecurity or a related field.
  • Experience leading AI-security research for major models, AI platforms, security products, or large-scale production systems.
  • A track record of building security ML systems that operate at real-world scale,

Ways to Stand Out from the Crowd:
  • Published work or public technical leadership in AI security, malware data science, adversarial ML, LLM security, cyber-defense automation, or offensive AI.
  • Experience developing benchmarks, challenge datasets, red-team tools, evaluation suites, or simulation environments for AI and security systems.
  • Deep knowledge of attacker tradecraft, including living-off-the-land techniques, supply-chain abuse, application-layer AI attacks, data exfiltration, and abuse of autonomous tooling.
  • Experience with low-level systems security.
  • History of mentoring researchers, winning or leading research programs, filing patents, publishing papers, or speaking at major security and AI venues.

In this role, your research will help NVIDIA build AI systems that are not only powerful, but trustworthy, resilient, and secure. You will work with world-class researchers, engineers, and security teams on problems that matter to NVIDIA's products, customers, and the broader AI ecosystem.
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 May 12, 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.
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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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