Senior Security Architect, Confidential Computing

We are now looking for 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 Networking products. You'll be expected to take on a lead role, working with diverse teams across NVIDIA and with external partners to meet security requirements for our state of the art Confidential Computing in networking products.

What you'll be doing:

• Lead, 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 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

• Work with customers, partners to identify and address security issues and threats

• Extending Networking protocol to support confidential computing in next generation networking products

What we need to see:

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

• 7+ 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

• Computing platform security, threat models and mitigation techniques

• Trusted Execution Environment and isolation technique to provide trust

• Profiling and modelling isolation architectures as well as performance evaluation of secure systems

• Familiarity with Trusted Computing attestation methods and its application in overlay mesh network

• Familiarity with networking and Storage protocol IB, RDMA, NVMe

• 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

• Strong background in network security protocols, formal methods, and verification of network security protocols

NVIDIA’s invention of the GPU 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 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!