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Nvidia Cyber Security Jobs (NOW HIRING)

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

... NVIDIA GPU ecosystems Nice to have: * Exposure to tools such as LangGraph, Semantic Kernel, vLLM, Ollama, Ray, and vector databases * Experience in integrating observability, cybersecurity, and ...

Accenture Federal Services

AI Engineer

Arlington, VA

... NVIDIA GPU ecosystems Nice to have: * Exposure to tools such as LangGraph, Semantic Kernel, vLLM, Ollama, Ray, and vector databases * Experience in integrating observability, cybersecurity, and ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

... NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability • ... cybersecurity • Support enterprise AI governance, continuous monitoring, and observability for ...

Jahnel Group

HPC Administrator

Schenectady, NY · On-site

Maintain and support GPU infrastructure , including NVIDIA drivers , CUDA toolkits , and fabric ... Ensure compliance with cybersecurity and regulatory requirements, including CMMC , NIST 800-171 ...

Jahnel Group

HPC Administrator

Schenectady, NY

Maintain and support GPU infrastructure , including NVIDIA drivers , CUDA toolkits , and fabric ... Ensure compliance with cybersecurity and regulatory requirements, including CMMC , NIST 800-171 ...

Adaptive Security

Product Designer

New York, NY · On-site

$175K - $250K/yr

About Adaptive NVIDIA and OpenAI's only AI cybersecurity investment. Adaptive is a cybersecurity startup on a mission to stop AI-powered cyberattacks. In December 2025, the company announced an $81M ...

Trace3

Senior Director, AI Platforms

... cybersecurity. • Own team capacity planning, deal support coverage, and utilization targets ... NVIDIA DGX or HGX, Cisco AI infrastructure, Dell PowerEdge XE, Super Micro, Lenovo ThinkSystem, HPE ...

Trace3

Senior Director, AI Platforms

... cybersecurity. • Own team capacity planning, deal support coverage, and utilization targets ... NVIDIA DGX or HGX, Cisco AI infrastructure, Dell PowerEdge XE, Super Micro, Lenovo ThinkSystem, HPE ...

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Nvidia Cyber Security information

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$57K

$133K

$186K

How much do nvidia cyber security jobs pay per year?

As of Jul 3, 2026, the average yearly pay for nvidia cyber security 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 are the key skills and qualifications needed to thrive as a Nvidia Cyber Security professional, and why are they important?

To excel as a Nvidia Cyber Security professional, you need a strong background in information security principles, risk assessment, network security, and a relevant degree such as computer science or cybersecurity. Familiarity with security tools like firewalls, intrusion detection/prevention systems, SIEM platforms, and certifications such as CISSP or CEH are commonly required. Analytical thinking, problem-solving abilities, and excellent communication are crucial soft skills for addressing complex threats and collaborating across teams. These competencies ensure the protection of sensitive data, effective threat mitigation, and compliance with industry standards in a dynamic tech environment.

What types of cross-functional collaboration can I expect in an Nvidia Cyber Security role?

In an Nvidia Cyber Security position, you'll frequently collaborate with various departments such as IT, software engineering, legal, and product teams. This collaboration ensures that security protocols are integrated into product development, compliance standards are met, and incidents are managed effectively. Expect regular meetings to discuss vulnerabilities, share updates on threat intelligence, and coordinate responses to security events. Building strong communication skills and the ability to explain complex security concepts to non-technical colleagues will be essential to your success.

What does a Nvidia Cyber Security professional do?

A Nvidia Cyber Security professional is responsible for protecting the company’s digital assets, networks, and systems from cyber threats. Their duties include monitoring for security breaches, implementing security measures, conducting vulnerability assessments, and responding to incidents. They also help educate employees on security best practices and work with other teams to ensure that Nvidia’s products and services remain secure. This role is crucial for maintaining the integrity and confidentiality of sensitive information within the company.

What is the difference between Nvidia Cyber Security vs Network Security Specialist?

AspectNvidia Cyber SecurityNetwork Security Specialist
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, Cisco CCNA Security, CISSP
Work EnvironmentTech companies, data centers, cloud environmentsCorporate networks, ISPs, enterprise IT
Industry UsageTechnology, gaming, AI, data centersTelecommunications, finance, healthcare

While both roles focus on protecting digital assets, Nvidia Cyber Security specialists primarily work within tech and AI environments, focusing on securing Nvidia's products and infrastructure. Network Security Specialists typically safeguard organizational networks across various industries. The roles share certifications and skills but differ in industry focus and work environment.

More about Nvidia Cyber Security jobs
What cities are hiring for Nvidia Cyber Security jobs? Cities with the most Nvidia Cyber Security job openings:
What are the most commonly searched types of Nvidia Cyber Security jobs? The most popular types of Nvidia Cyber Security jobs are:
What states have the most Nvidia Cyber Security jobs? States with the most job openings for Nvidia Cyber Security jobs include:
What job categories do people searching Nvidia Cyber Security jobs look for? The top searched job categories for Nvidia Cyber Security jobs are:
Nvidia Cyber Security jobs near you
Infographic showing various Nvidia Cyber Security job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 2% Contract, and 3% Nights. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution, with an average salary of $132,962 per year, or $63.9 per hour.
Principal Cyber Security Engineer - Agentic Identity and Security

Principal Cyber Security Engineer - Agentic Identity and Security

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 13 days ago

Job description

At NVIDIA, AI agents are becoming part of how work gets done across engineering and enterprise workflows! As these systems begin to access tools, call APIs, and participate in multi-step operations, the identity and security controls built primarily for human users need to evolve to support non-human and agent-driven workflows safely and reliably.
We are seeking a Principal Engineer to help define and build core agentic identity capabilities that enable trusted AI agents across NVIDIA's internal ecosystem. This is a hands-on engineering role for someone who can turn complex problems into practical designs, quickly prototype solutions, and work across identity, security, platform, and application teams to bring the right infrastructure into production.
What you will be doing:
  • Architect and build agent identity security features for agent use cases across cloud, on-premises, and hybrid environments. Apply relevant standards and patterns where possible. Rapidly prototype, validate, and iterate on innovative ways when gaps remain, such as credential brokering, token exchange, delegation, workload identity, and lifecycle management.
  • Rapidly identify the highest-value MVP for ambiguous security and identity problems, prototype solutions, validate them with partner teams, and iterate toward production-ready services.
  • Build reusable skills, CLI tools, APIs, and integration patterns that help internal teams embrace secure agent identity approaches across enterprise tools and platforms.
  • Partner closely with teams across Enterprise Security, Product Security, Enterprise AI, Enterprise Product and relevant platform teams to align architecture with real workflow needs and operational constraints.
  • Contribute to architectural direction, reviews, and engineering standards for agentic identity and related security infrastructure across the company.
  • Help evaluate emerging standards, open-source technologies, and vendor capabilities in agentic identity, and translate the relevant pieces into pragmatic internal builds and roadmap recommendations.

What we need to see:
  • Bachelor's degree or Master's degree or equivalent experience in Computer Science or a related field.
  • 15+ years in software engineering, security engineering, identity, distributed systems, or related areas, including significant hands-on technical leadership.
  • Proven track record to frame sophisticated problem spaces, define an MVP, prototype quickly, and evolve ideas into reliable production systems..
  • Strong software engineering skills, including crafting and building backend services, APIs, automation, or platform components in programming environments. The role requires quickly learning new languages, frameworks, and tools as needed.
  • Experience in offensive security, adversarial thinking, red teaming, or attack-path analysis, capable of applying that perspective to architecture decisions and security tradeoffs.
  • Experience with device trust, endpoint posture, or hardware-backed trust signals, and an understanding of how device identity and device state can strengthen access decisions for agentic, workload, and human-to-agent workflows.
  • Ability to collaborate across organizational boundaries, balance security with usability and adoption, and drive pragmatic technical outcomes through influence.
  • Hands-on experience with container technologies (Docker, containerd, or equivalent), network infrastructure (proxies, routing, firewalls, VPNs), and general cloud service provider (CSP) environments (AWS, Azure, or GCP)
  • Good understanding of existing and emerging identity and access concepts such as OAuth 2.0/2.1, OIDC, SCIM, mTLS, SPIFFE, MCP, AuthZen, certificate lifecycle management, and secrets management.

Ways to stand out from the crowd:
  • Strong full-stack or software engineering instincts, including the ability to build reusable frameworks, APIs, and tooling that improve engineering velocity and consistency.
  • Experience with agentic or AI-adjacent systems, such as tool-using applications, workflow orchestration, evaluation loops, policy controls, memory/context services, or trust and discovery systems.
  • Familiarity with AI-specific security risks such as prompt injection, tool misuse, unauthorized access expansion, data exfiltration, or unsafe delegation patterns.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, 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 240,000 USD - 379,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 26, 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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