NVIDIA

Senior Security Research Architect, Confidential Computing

Remote Santa Clara, CA
USD 224k - 425k
Python Perl Assembly Deep Learning
Description

NVIDIA is seeking a Senior Security Research Architect to join our team. This technical leader will have the chance to define, craft, and guide implementation of Trusted Execution Environment architecture, implementation, and design for Networking products. This lead role will collaborate with a variety of teams across NVIDIA and with external partners to meet security requirements for our Confidential Computing in Networking products. Does this sound like a role that would challenge and excite you? If so, we'd love to connect.

What you'll be doing:

  • Leading, researching, designing, developing and implementing architecture solutions that meet internal and external security requirements and standards

  • Applying innovative security primitives to enable next-generation secure platforms

  • Collaborating across teams to guide the direction of designing Confidential Computing within Nvidia 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

  • Working with customers and partners to identify and address security issues and threats

  • Extending Networking protocol to support confidential computing in future Networking products

What we need to see:

  • MS or PhD in Electrical Engineering, Computer Science or Computer Engineering; or equivalent experience

  • 10+ years of proven experience

  • Hands-on experience with Trusted Execution Technologies (e.g. AMD SEV, Intel TDX, Intel SGX) on the hardware and software level

  • Computing platform security, threat models and mitigation techniques

  • Familiarity with Trusted Computing attestation methods and its application in overlay mesh network, Trusted Execution Environment and isolation technique to provide trust

  • Profiling and modelling isolation architectures, performance evaluation of secure systems

  • Programming and debugging fundamentals across languages such as: Verilog, Python/Perl scripting, ARM assembly and C/C++

  • The ability to work in a dynamic, collaborative team and strong communication skills and a real passion for working as a team are essential

  • Strong background in network security protocols, formal methods, and verification of network security protocols (e.g. IB, RDMA)

This position offers a unique and exceptional opportunity to have a real impact in shaping the future of data-center technologies around the world. If this motivates and drives you, we'd love to hear from you! NVIDIA’s invention of the GPU 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 are looking to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you!

#LI-Hybrid

The base salary range is 224,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.

NVIDIA
NVIDIA
Artificial Intelligence (AI) GPU Hardware Software Virtual Reality

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