Security Architect - New College Grad 2026

NVIDIA is seeking a Security Architect to join the team defining and advancing security architecture for innovative SoCs and GPUs.

In this role, you will work with experienced security architects and multi-functional engineering teams to help evaluate platform security requirements, support security certification efforts, and contribute to secure designs across automotive, gaming, and server platforms.

You will gain hands-on experience in security certification and assurance programs, silicon security, secure boot, measured boot, hardware root of trust, cryptography, CPU security architecture, and SoC security design.

Responsibilities:

• Support security certification and compliance efforts for NVIDIA chips and platforms, including FIPS 140-3, EU CRA, ISO 21434, Caliptra trademark audit, and related assurance programs.
• Assist with certification documentation, implementation tracking, evidence collection, compliance mapping, and coordination with internal teams, external labs, auditors, and certification stakeholders.
• Help translate security requirements and certification expectations into practical engineering guidance for hardware, firmware, and software teams.
• Review architecture, verification, and firewall specifications with guidance from senior architects to help assess whether IPs meet platform security requirements.
• Contribute to threat modeling by identifying trust boundaries, attack surfaces, assets, assumptions, and potential mitigations.
• Contribute to security architecture documentation, design review checklists, certification materials, compliance mappings, and internal guidance.
• Collaborate with security architects, hardware teams, software teams, verification teams, and product teams to help evaluate platform security requirements.
• Build and improve AI-assisted tools and workflows that help security architects review specifications, identify security requirements, summarize technical evidence, and scale threat modeling across complex SoC and GPU programs.
• Explore practical uses of LLMs and automation to improve security architecture productivity while protecting confidential design information and maintaining engineering rigor.

Requirements:

• Pursuing or recently completed a MS, or PhD in Electrical Engineering, Computer Science, Computer Engineering, or a related field, or equivalent experience.
• Great 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.
• Strong analytical, reasoning, collaboration, and problem-solving skills for working across engineering teams.
• Curiosity and genuine interest in learning security architecture for complex SoCs and GPUs.
• Interest in learning how AI tools and automation can improve engineering workflows, including documentation, analysis, and security review tasks.

Benefits:

• Equity
• Benefits