Drimva

NVIDIA

Principal Hardware Security Architect, Advanced Technologies and Threat Modeling

$272K–$431K

US, CA, Santa Clara +1 · Principal · Full-time · Posted Oct 13, 2026

Location
US, CA, Santa Clara
US, CA, Remote
Experience
15+ years of meaningful relevant work or research experience.
Education
MS or PhD (or equivalent experience) in Electrical Engineering, Computer Science, or Computer Engineering.

About the job

Defines security architecture and roadmaps for NVIDIA SoCs and GPUs, with a focus on physical attacks, advanced packaging, photonics, and AI-assisted vulnerability discovery.

What you'll do

  • Develop platform security roadmaps and mitigations for physical attacks, including fault injection and side-channel attacks.
  • Threat-model advanced packaging and photonics technologies, and guide adoption of security standards such as OCP S.A.F.E.
  • Review architecture and verification specifications and evaluate AI-assisted security verification and vulnerability discovery methods.

What they ask for

  • Experience with ASIC design processes and large SoC or GPU architecture.
  • Programming and debugging experience with languages such as C/C++, Verilog, ARM assembly, and Python/Perl scripting.
  • Deep knowledge of SoC security architecture, secure/measured boot, and ARM or RISCV CPU architectures.
  • Direct experience mitigating physical attacks; knowledge of threat modeling and penetration testing.

Nice to have

  • Research or hands-on experience securing advanced packaging, chiplets, or SiP designs; or expertise in silicon photonics security.
  • Experience applying AI/ML to hardware vulnerability discovery, automated triage, or autonomous fuzzing; participation in standards bodies or security patents.

Pay

272,000 USD - 431,250 USD (base salary)

Tools

ASIC, SoCs, GPUs, C/C++, Verilog, ARM assembly, Python/Perl, OCP S.A.F.E.

AI focus

Use AI to discover and triage hardware vulnerabilities, evaluate AI-assisted hardware security verification, and explore autonomous research agents for fuzzing GPU kernel drivers.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)