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NVIDIA

Senior System Security Architect

NVIDIA is hiring a Senior System Security Architect in Tel Aviv, Israel. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this cybersecurity role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Python, LLM and RAG.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Design and deploy AI agent systems, LLM integrations, and RAG pipelines for advanced networking and security workflows at NVIDIA.

pythonllmrag
ragllm-integrationai-agentsfine-tuningsecurity-architecturecryptographythreat-modelingworkflow-orchestration

NVIDIA's Networking AI Platforms Security group is redefining how security operates at scale by embedding AI at the core of its detection, defense, and engineering workflows. We are seeking a Senior Security Architect to design, build, and deploy intelligent AI agent systems tackling NVIDIA's most complex security challenges. Working alongside security architects, engineering, and platform teams, this role offers a rare opportunity to shape the future of AI-powered security at one of the world's most innovative companies!

What you'll be doing:

  • Design and deploy AI agent systems for security workflows: PQC transition, attacker-defender frameworks, threat modeling, and automated mitigation deployment.

  • Build frameworks integrating LLMs, RAG, and automation pipelines with security data sources and engineering workflows.

  • Partner with product and architecture organizations to embed security requirements early and translate threat landscapes into scalable solutions.

  • Own the full agentic system lifecycle: architecture, prototyping,productization, testing, and operational stewardship.

What we need to see:

  • BS, MS, or Ph.D. in Computer Science, Electrical Engineering, or related field, or equivalent experience; Ph.D. preferred.

  • 5+ years of experience.

  • Proven experience building agentic systems, LLM integrations, RAG pipelines, or workflow orchestration in production.

  • Strong security foundation: cryptography, PKI, key management, Root of Trust technologies, Cloud security and secure software design.

  • Excellent Python skills and system design abilities across software, firmware, and cloud environments.

  • Strong communication skills with the ability to drive cross-functional projects in a high pace organization.

Ways to stand out from the crowd:

  • Experience with PQC migration, cryptographic inventory, or crypto-agility programs.

  • Background in security automation: attacker-defender simulation, red-team tooling, SAST/DAST, or vulnerability management.

  • Data science experience on large-scale networking and security telemetry: anomaly detection, behavioral analytics, or risk scoring.

  • LLM fine-tuning expertise or open-source/research contributions in AI and security intersection.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.

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.

How we rate this

Senior System Security Architect at NVIDIA rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGLLM IntegrationAI agentsFine-tuningSecurity ArchitectureCryptographyThreat ModelingWorkflow Orchestration

Also common in cybersecurity jobs at this level

Pay

Typical cybersecurity job
$159k

This posting doesn't list pay. Use the typical cybersecurity figure when pay comes up. See cybersecurity jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How have you integrated a large language model into a production application?
  3. How do you decide when an AI agent can act on its own versus asking for approval first?
  4. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  5. Tell me about a project where security architecture was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, LLM Integration, AI agents, Fine-tuning, and Security Architecture. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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