We are currently seeking a Senior Silicon Security Architect.

NVIDIA is seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation Nvidia Networking products. You'll be expected to take 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 network products.

What you'll be doing:

• Research, design, develop and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards.
• Apply innovative hardware security primitives to enable next generation secure software extensions supported by hardware.
• Collaborate with partners on the implementation of open-source software.
• Collaborate across the company to guide the direction of Silicon security, TEE, 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.

What we need to see:

• BSc, MS or PhD in Electrical Engineering, Computer Science or Computer Engineering, or equivalent experience.
• 7+ years of relevant experience.
• First-hand work experience with the SW/FW design architecture of SoCs and designing hardware security for embedded devices.

Have directly worked on several of the following:

• Boot and update architecture for SoC systems.
• RISC-V architecture, Root-of-trust, and security processors.
• Distributed key management API and Cryptographic accelerators and standards.
• Familiarity with embedded systems and programming low-level firmware.
• Experience in Security-by-design hardware and principles of privileges.
• 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.

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!