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NVIDIA

Designs the chips and software that power AI

Senior System Security Architect

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science, Master of Science, or Ph.D. in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
  • At least 5 years of experience.
  • Proven experience building agentic systems, large language model integrations, retrieval-augmented generation pipelines, or workflow orchestration in production.
  • A strong security foundation in cryptography, public key infrastructure, key management, Root of Trust technologies, cloud security, and secure software design.
  • Strong Python skills and system design abilities across software, firmware, and cloud environments.
  • Strong communication skills and the ability to drive cross-functional projects in a fast-paced organization.

Responsibilities

  • Design and deploy AI agent systems for security workflows, including post-quantum cryptography transition, attacker-defender frameworks, threat modeling, and automated mitigation deployment.
  • Build frameworks integrating large language models, retrieval-augmented generation, 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, including architecture, prototyping, productization, testing, and operational stewardship.

Desired Qualifications

  • Ph.D.
  • Experience with post-quantum cryptography migration, cryptographic inventory, or crypto-agility programs.
  • Background in security automation, including attacker-defender simulation, red-team tooling, static/dynamic application security testing, or vulnerability management.
  • Data science experience on large-scale networking and security telemetry, including anomaly detection, behavioral analytics, or risk scoring.
  • Large language model fine-tuning expertise or open-source/research contributions at the intersection of AI and security.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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