Principal Hardware Security Architect, Advanced Technologies – Threat Modeling

NVIDIA

. Define the platform security roadmap and guide long-term product security direction .

Posted 10/13/2026full-timeRemote • California • United StatesLead💰 $272,000 - $431,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in defining platform security roadmaps and developing mitigations against physical attacks, with a strong focus on SoC security architecture and AI-assisted vulnerability discovery. Proven ability to collaborate across teams and engage with industry standards for enhanced security compliance.

Highest-signal resume keywords

SoC Security ArchitectureASIC Design ProcessThreat ModelingAI/ML for Hardware SecurityOCP S.A.F.E. Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C/C++ ProgrammingVerilogARM AssemblyPython ScriptingFault Injection MitigationSide-Channel Attack MitigationSecurity Threat ModelingPenetration TestingSilicon Photonics SecurityGPU Kernel-Driver Fuzzing

Soft Skills

Interpersonal SkillsTeam CollaborationCustomer-Focused Approach

Tools & Technologies

AI-Assisted Security VerificationAutonomous Research Agents

Industry Keywords

OCP S.A.F.E.3D ICsChipletsSystem-in-PackageHardware TrojansSupply-Chain TamperingInterconnect AttacksMicroring ResonatorsQKD HardwareStandards Bodies Participation

Tech Stack

Tools & technologies

AssemblyPerlPythonC++

About the role

Key responsibilities & impact

Define the platform security roadmap and guide long-term product security direction
Collaborate with hardware, software, research, and marketing teams
Research, design, and develop mitigations against physical attacks such as fault injection and side-channel attacks
Drive adoption of and compliance with OCP S.A.F.E. and related assurance requirements
Analyze and develop threat models for advanced packaging, chiplets, silicon photonics, and optical on-chip networks
Investigate hardware Trojans, inter-chiplet side-channel analysis, and photonic connectivity threats
Use AI and new tools to accelerate hardware vulnerability discovery and triage
Lead evaluation of AI-assisted hardware security verification methodologies and autonomous research agents for GPU kernel-driver fuzzing
Review architectural, microarchitectural, and verification specifications for platform security alignment
Work with customers, partners, external organizations, and industry bodies to identify and address security issues

Requirements

What you’ll need

MS, or PhD (or equivalent experience) in Electrical Engineering, Computer Science, or Computer Engineering
15+ years of meaningful relevant work or research experience
Experience with the ASIC design process and architecture of large SoCs or GPUs
Programming and debugging fundamentals across C/C++, Verilog, ARM assembly, and Python/Perl scripting
Deep understanding of SoC security architecture, including secure/measured boot and ARM or RISCV CPU architectures
Direct experience with security mitigations against physical attacks including fault injection and side-channel attacks
Knowledge of security threat modeling and penetration testing
Familiarity with OCP S.A.F.E. or similar industry security frameworks
Ability to work in a dynamic, customer-focused team with strong interpersonal skills
Published research or hands-on experience securing 2.5D/3D ICs, chiplets, or System-in-Package designs against supply-chain tampering, interconnect attacks, and hardware Trojans
Expertise in the security risks of silicon photonics and optoelectronic systems, including microring resonators and QKD hardware
Demonstrated experience deploying AI/ML models for hardware vulnerability discovery, automated triage, or autonomous fuzzing
Active participation in standards bodies or a track record of patenting security inventions

Benefits

Comp & perks

Equity
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