NVIDIA
Security Architect - New College Grad 2026
$108K–$196K
US, CA, Santa Clara · Full-time · Posted Sep 23, 2026
- Education
- Pursuing or recently completed a BS, MS, or PhD in Electrical Engineering, Computer Science, Computer Engineering, or a related field, or equivalent experience.
About the job
Supports security architecture, certification, and AI-assisted security workflows for NVIDIA SoCs, GPUs, and platforms.
What you'll do
- Support security certification and compliance, including documentation, evidence collection, compliance mapping, and coordination with certification partners.
- Review specifications and contribute to threat modeling, security architecture documentation, and engineering guidance.
- Build and improve AI-assisted tools and workflows for specification review, security analysis, and threat modeling.
What they ask for
- Pursuing or recently completed a BS, MS, or PhD in Electrical Engineering, Computer Science, Computer Engineering, or a related field, or equivalent experience.
- Strong foundation in computer architecture, digital logic, operating systems, embedded systems, or computer security.
- Coursework, internship, research, project, or equivalent experience in security, computer architecture, hardware design, or cryptography.
- Programming and debugging fundamentals in one or more of C, C++, Python, Verilog, System Verilog, ARM assembly, RISC V assembly, or scripting languages.
Nice to have
- Exposure to SoC or platform security, cryptography, threat modeling, security testing, ASIC/RTL/verification, or embedded firmware.
- Experience building AI-assisted engineering tools, automation, retrieval systems, agents, or evaluation workflows.
Pay
108,000 USD - 178,250 USD (base salary, Level 1); 124,000 USD - 195,500 USD (base salary, Level 2)
Tools
C, C++, Python, Verilog, System Verilog, ARM assembly, RISC V assembly, LLMs
AI focus
Build and apply AI-assisted tools and workflows for specification analysis, design reviews, threat modeling, evidence tracking, security knowledge retrieval, and engineering productivity, while protecting confidential design information.
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