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.
Skills Required
- 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 and ability to drive cross-functional projects
- 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, risk scoring)
- LLM fine-tuning expertise or open-source/research contributions at AI-security intersection
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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