We are currently seeking a Senior Security Research Architect.
NVIDIA is seeking a technical leader interesting in a chance to define, craft, , implement, and guide implementation of Trusted Execution Environment architecture, implementation and design for NIC and DPUs. You'll be expected to take on a strong hands-on role, working with diverse teams across NVIDIA and with external partners to meet security requirements for our state of the art Confidential Computing in various products.
What you'll be doing:
- Research, design, develop and implement architecture solutions meeting internal and external security requirements and standards
- Apply innovative security primitives to enable next generation secure platforms
- Collaborate across the company to guide the direction of designing Confidential Computing within DPU and NIC products, working with hardware, software, research and product teams
- Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods
- Work with customers, partners to identify and address security issues and threats
- Extending Networking protocol CJDNS and binding it with fully distributed key management
What we need to see:
- MS or PhD in Electrical Engineering, Computer Science or Computer Engineering or equivalent experience with 12+ years of relevant experience
- First hand work experience with Trusted Execution Technologies (e.g. AMD SEV, Intel TDX, Intel SGX) on the hardware and software level
- You have directly worked directly on:
- Computing platform security, threat models and mitigation techniques and/or Trusted Execution Environment and isolation technique to provide trust
- Profiling and modelling isolation architectures and Performance evaluation of secure systems
- Familiarity with Trusted Computing attestation methods and its application in overlay mesh network
- Programming and debugging fundamentals across languages such as: Verilog, Python/Perl scripting, ARM assembly and C/C++
- The ability to work in a dynamic collaboration oriented team is required and strong communication skills and a real passion for working as a team are essential as well as understanding the fundamentals of devices secure management over MCTP and programming interfaces
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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:224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
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
- MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience
- 12+ years of relevant experience
- Hands-on experience with Trusted Execution Technologies such as AMD SEV, Intel TDX, or Intel SGX at hardware and software levels
- Experience with computing platform security, threat modeling, mitigation techniques, Trusted Execution Environments, or isolation techniques
- Experience profiling and modeling isolation architectures and evaluating secure-system performance
- Familiarity with trusted computing attestation methods and their application in overlay mesh networks
- Programming and debugging fundamentals in Verilog, Python or Perl, ARM assembly, and C or C++
- Understanding of secure device management over MCTP and programming interfaces
- Strong collaboration and communication skills
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.”
