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Cyber Security Analyst Nvidia Jobs (NOW HIRING)

OR · On-site

$63 - $83/hr

NVIDIA seeks a forward-thinking Solutions Architect to lead as the main technical authority for our ... Deep technical background in Digital Signal Processing (DSP), Cybersecurity, or Autonomous Systems.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Translate complex AI and cybersecurity research into actionable, deployable architectures for ...

OR · On-site

... new NVIDIA hardware. * Identify, assess, and reduce cybersecurity risks; report major risks clearly to leadership. * Investigate security incidents and drive root-cause analysis. * Ensure systems ...

Senior Software Architect, DriveOS

Santa Clara, CA · On-site

$152K - $206K/yr

The system is certified for both automotive safety (ISO 26262 ASIL-D) and cybersecurity (ISO 21434 ... Using strong communication skills, build and drive architecture, analysis documents and ...

OR · On-site

$115K - $116K/yr

With AI-powered tooling more involved in assessment analysis and evidence handling, the assessor ... NVIDIA's evaluation now covers functional safety, cybersecurity, and AI/ML safety along with ...

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Cyber Security Analyst Nvidia information

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$43K

$99.4K

$150K

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

As of Jun 15, 2026, the average yearly pay for cyber security analyst nvidia in the United States is $99,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $115,500.00 per year, depending on experience, location, and employer.

What is the difference between Cyber Security Analyst Nvidia vs Cyber Security Engineer Nvidia?

AspectCyber Security Analyst NvidiaCyber Security Engineer Nvidia
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentMonitoring security systems, analyzing threats, incident responseDesigning security solutions, implementing security architecture
Employer & Industry UsageTech companies like Nvidia, focusing on threat detectionTech companies like Nvidia, focusing on security infrastructure

Both roles often require similar certifications and work within Nvidia's cybersecurity teams. The Cyber Security Analyst primarily monitors and responds to security threats, while the Cyber Security Engineer designs and implements security systems. Understanding these differences helps candidates align their skills with the right role in Nvidia's cybersecurity landscape.

What does a Cyber Security Analyst do at Nvidia?

A Cyber Security Analyst at Nvidia is responsible for protecting the company’s digital assets and infrastructure from cyber threats. Their duties include monitoring networks for suspicious activity, investigating security breaches, implementing security measures, and ensuring compliance with industry standards. They also collaborate with other teams to assess vulnerabilities, respond to incidents, and educate staff on best security practices. Ultimately, their goal is to safeguard Nvidia’s data and technologies from cyber attacks.

How does a Cyber Security Analyst at Nvidia typically collaborate with other teams to address security incidents?

Cyber Security Analysts at Nvidia often work closely with IT, software engineering, and incident response teams to identify, investigate, and mitigate security threats. During a security incident, analysts coordinate with these groups to gather relevant data, analyze attack vectors, and implement immediate containment measures. Effective communication and cross-functional teamwork are essential, as analysts may need to relay technical information to non-technical staff or management. This collaborative environment not only strengthens Nvidia's security posture but also provides valuable learning opportunities for analysts.

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

To thrive as a Cyber Security Analyst at Nvidia, you need a solid background in information security principles, threat analysis, and incident response, typically supported by a degree in computer science or a related field. Familiarity with security tools such as SIEM platforms, intrusion detection systems, vulnerability scanners, and relevant certifications like CISSP or CEH is highly valued. Strong analytical thinking, attention to detail, and effective communication skills set standout candidates apart in this role. These competencies are crucial for proactively identifying threats, mitigating risks, and ensuring the security of Nvidia's advanced technology environments.
OEM Solutions Architect - AI Full Stack Public Sector

OEM Solutions Architect - AI Full Stack Public Sector

Nvidia

OR • On-site

$63 - $83/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

NVIDIA seeks a forward-thinking Solutions Architect to lead as the main technical authority for our Federal partnership. This significant role involves linking NVIDIA's accelerated computing platform with Federal infrastructure. You will assist U.S. Government agencies and Contractors in developing the next generation of "Sovereign AI."

You will lead the technical strategy for the AI Factory with NVIDIA. You will ensure Federal customers-from the DoD and Intelligence Community to Civilian agencies-can deploy Generative AI at scale. You are part architect, part developer advocate, and part strategic advisor. You move comfortably from deep-code optimizations to C-Suite mission briefings.

You must be a U.S. Citizen to apply for this position.

What you'll be doing:

  • Serve as the lead technical expert for Federal accounts and FSIs. Encourage the use of NVIDIA-on-OEM architectures by developing strategic solutions and conducting in-depth technical workshops.

  • Full-Stack Infrastructure Architecture: Define and optimize the "AI Factory" for Federal use cases, integrating NVIDIA solutions through OEM server, storage, and NVIDIA Spectrum-X networking into cohesive, high-performance mission solutions.

  • Lead the development of POCs and guide the integration of the NVIDIA software stack. This includes NIM, NeMo, Dynamo, and TensorRT-LLM. The integration targets production-grade environments for workloads such as DSP, GEOINT, and Cyber Analytics.

  • Provide the technical expertise needed to navigate complex AI clusters within Federal security frameworks. These include FedRAMP, IL5/IL6, and air-gapped (SCIF) environments.

  • Act as a strategic conduit between Federal customers and NVIDIA engineering teams. Translate outstanding public sector requirements into actionable feedback. Influence future GPU, networking, and software roadmaps.

What We Need To See:

  • A BS, MS, or PhD degree or equivalent experience in fields like CS, EE, or Physics is required. Candidates should possess more than 10 years of professional experience. At least 7 years must involve technical pre-sales or architecture roles supporting U.S. Federal missions (DoD, IC, or Civilian).

  • Infrastructure & Data Center Mastery: Expert knowledge of full-stack data center architecture, including x86/ARM systems, high-performance storage solutions, and low-latency networking (InfiniBand/RDMA).

  • Hands-on experience covers the entire AI lifecycle. This includes data curation, fine-tuning (LoRA/QLoRA), and large-scale inference orchestration with Kubernetes or Slurm.

  • Strategic Mission Communication: Outstanding ability to translate complex AI architectures into mission-relevant outcomes for GS-level leadership while maintaining deep technical credibility with engineers and data scientists.

  • Operational Agility & Leadership: A self-starter approach with the proven ability to manage multiple complex, high-visibility projects within a fast-paced and multifaceted OEM partner ecosystem.

Ways To Stand Out From The Crowd:

  • Dell Ecosystem Expertise: Proven experience with Dell PowerEdge GPU servers and Dell's management software (OpenManage, APEX).

  • Active Security Clearance: An active U.S. Government security clearance (Secret or TS/SCI) is highly preferred.

  • Developer Depth: Strong programming skills in C/C++, Python, and CUDA, with experience profiling and optimizing code for GPU acceleration.

  • Domain Expertise: Deep technical background in Digital Signal Processing (DSP), Cybersecurity, or Autonomous Systems.

  • Ecosystem Influence: Experience working with major Defense Contractors (e.g., Lockheed Martin, Raytheon, Northrop Grumman) to integrate AI into mission platforms.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

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