We are now looking for a Senior Security Architect! NVIDIA is seeking a technical leader interested in a chance to define, craft, and guide implementation of HW Root of Trust architecture for our pioneering SoCs and GPUs. You will be expected to take a strong hands-on role, working with diverse teams across both NVIDIA and external partners to meet HW Root of Trust requirements for our client, automotive, gaming and server platforms.
What you'll be doing:
Collaborate across the company to guide the direction of platform security and develop a long-term roadmap for a flexible HW Root of Trust solution that will be integrated into our products, working with hardware, software, research and marketing teams.
Research, design, and develop architecture solutions meeting internal and external security requirements and standards.
Review architectural, microarchitectural and verification specifications published by internal teams to ensure all IPs align with platform security requirements.
Work with customers, partners to identify and address security issues and threats.
What we need to see:
BS, MS, PhD (or equivalent experience) in Electrical Engineering, Computer Science or Computer Engineering.
8+ 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 languages such as: C/C++, Verilog, ARM assembly and Python/Perl scripting
The ability to work in a dynamic customer focused team and strong communication skills are required.
You have directly worked on several of the following:
System architecture for mobile, automotive, gaming or server platforms
SoC security architecture and security fundamentals including secure boot, measured boot and HW root of trust
ARM or RISCV CPU architectures and related security functionality
Cryptography: algorithms, standards, implementation and application
Security mitigations against physical attacks including fault injection and side channel attacks
Remote attestation mechanisms based on TPM or other solutions
Digital Rights Management (DRM) standards
Security threat modelling and penetration testing
Certification standards and compliance testing
NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous architect with a genuine passion for advancing innovative security features into silicon? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor’s, master’s, or doctoral degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience
- 8+ years of relevant work or research experience
- Experience with ASIC design processes and architecture of large SoCs or GPUs
- Programming and debugging experience with C/C++, Verilog, ARM assembly, and Python or Perl scripting
- Experience with system architecture for mobile, automotive, gaming, or server platforms
- Experience with SoC security architecture, secure boot, measured boot, and hardware Root of Trust
- Experience with ARM or RISC-V CPU architectures and related security functionality
- Knowledge of cryptographic algorithms, standards, implementation, and application
- Experience mitigating physical attacks, including fault injection and side-channel attacks
- Experience with remote attestation mechanisms based on TPM or other solutions
- Experience with Digital Rights Management standards
- Experience with security threat modeling and penetration testing
- Experience with certification standards and compliance testing
- Strong communication skills and ability to work in a dynamic, customer-focused team
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
