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Nvidia Cyber Security Job Jobs (NOW HIRING)

Nvidia

AI Automation Engineer, Security

Austin, TX

What if you could create autonomous AI tools that redefine how security works at one of the most innovative companies in the world? The NVIDIA Office of the Chief Security Officer is looking for an

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Nvidia Cyber Security Job information

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$57K

$133K

$186K

How much do nvidia cyber security job jobs pay per year?

As of Jun 15, 2026, the average yearly pay for nvidia cyber security job in the United States is $132,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $150,000.00 per year, depending on experience, location, and employer.

What is the difference between Nvidia Cyber Security Job vs Nvidia Network Security Analyst?

AspectNvidia Cyber Security JobNvidia Network Security Analyst
Required CredentialsCybersecurity certifications (e.g., CISSP, CEH), relevant degreesNetwork security certifications (e.g., CCNA Security, CompTIA Security+), relevant degrees
Work EnvironmentSecurity teams, IT departments, cybersecurity labsNetwork operations centers, IT infrastructure teams
Employer & Industry UsageTech companies like Nvidia, cybersecurity firms, enterprise ITTech companies, network service providers, enterprise networks
Common Search & ComparisonYesYes

The Nvidia Cyber Security Job focuses on protecting Nvidia's systems from cyber threats, involving threat detection, incident response, and security protocols. The Nvidia Network Security Analyst primarily monitors and manages network security, analyzing network traffic and vulnerabilities. While both roles require cybersecurity knowledge, the cyber security job emphasizes broader security strategies, whereas the network security analyst concentrates on network-specific security measures.

What are Nvidia Cyber Security jobs?

Nvidia Cyber Security jobs focus on protecting the company's digital assets, networks, and data from cyber threats. These roles involve tasks such as monitoring security systems, identifying vulnerabilities, responding to incidents, and implementing security measures. Professionals in these positions work to ensure compliance with security standards and help develop strategies to defend against cyber attacks. Typical job titles include Security Engineer, Security Analyst, and Security Architect. Nvidia values professionals with strong technical backgrounds, experience with security tools, and knowledge of current cybersecurity trends.

What are the key skills and qualifications needed to thrive as a Cyber Security Specialist at Nvidia, and why are they important?

To thrive as a Cyber Security Specialist at Nvidia, you need deep knowledge of network security, threat analysis, and incident response, typically supported by a degree in computer science or related field and relevant certifications such as CISSP or CEH. Familiarity with security tools like SIEM platforms, intrusion detection systems, and vulnerability management software is essential. Strong analytical thinking, problem-solving skills, and effective communication are critical for proactive threat management and collaboration across teams. These skills and qualities are vital to protect Nvidia’s sensitive data, ensure business continuity, and address evolving cyber threats.

How does a cyber security professional at Nvidia typically collaborate with product development teams to ensure secure product releases?

At Nvidia, cyber security professionals work closely with product development teams from the early stages of the development lifecycle. They perform security assessments, review code, and recommend best practices to identify and mitigate vulnerabilities before products are released. This collaboration often includes regular meetings, security training sessions, and ongoing support to address emerging threats. By integrating security expertise into the development process, Nvidia ensures that both hardware and software products meet high security standards.
Infographic showing various Nvidia Cyber Security Job job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $132,962 per year, or $63.9 per hour.
Solutions Architect - OEM AI

Solutions Architect - OEM AI

Nvidia Corporation

Santa Clara, CA • On-site

$74 - $97.50/hr

Full-time

Posted 27 days ago

Job description

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. Want to be part of the team that empowers NVIDIA's OEM technical counterparts to develop accelerated compute and AI solutions for their customers? We are looking for a hardworking and self-starting Solutions Architect with a passion for accelerated compute, data workflows and AI security to join our Solutions Architecture and Engineering team. This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense.
As a Solutions Architect in Accelerated Compute Data & Security passionate about high-performance computing, you will focus on integrating NVIDIA's software and tools with our OEM partners' offerings. This may involve working with platforms like Splunk, Cisco's AI threat protection and other AI Data Pipeline solutions. Your efforts will center on driving adoption, building proof-of-concept technologies, and aligning our technical messaging with our OEMs' broader product strategies.
What you'll be doing:
  • Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
  • Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.
  • Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.
  • Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.
  • Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.

What we need to see:
  • BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience).
  • 5+ years of experience in roles focused on technology, including Solutions Architecture, Data Science, or AI Research.
  • Deep expertise in supervised and unsupervised machine learning, deep learning, and statistics, specifically applied to loosely-structured data and security logs.
  • Strong coding, debugging, and pipeline development skills using Python, C/C++, Bash, and Linux utilities.
  • Hands-on experience with big data and AI frameworks, including GPU acceleration, Spark, and distributed computing environments.
  • Exceptional communication and presentation skills, with an ability to distill complex technical topics into clear, understandable content for an engaged audience.
  • Strong analytical and problem-solving skills, along with an ability to multitask efficiently in a dynamic environment.

Ways to stand out from the crowd:
  • Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.
  • Demonstrated expertise integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems.
  • Experience working in a technical leadership role or principal investigator capacity on large-scale or secure enterprise projects.
  • Background in Agentic AI, LLM deployment, and building ingestion/retrieval technologies.
  • Public speaking experience at industry conferences or large technical events.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 24, 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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