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NVIDIA

Designs the chips and software that power AI

Senior Silicon Security Architect

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A BSc, MS, or PhD in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent experience.
  • At least 7 years of relevant experience.
  • Experience designing production and provisioning systems for SoC systems.
  • Direct experience with several of the following: key management systems and HSM operation; IO interfaces including I2C, I3C, SPI, UART, USB, and PCIe; computing platform boot architecture in embedded devices and servers; RISC-V architecture, root of trust, and security processors; embedded systems and low-level firmware; security-by-design hardware and privilege principles; programming and debugging using Verilog, Python or Perl scripting, ARM assembly, and C/C++.
  • Ability to work collaboratively in a dynamic team and communicate effectively.

Responsibilities

  • Research, design, develop, and implement hardware and software architecture solutions that meet internal and external security requirements and standards.
  • Apply hardware security primitives to enable next-generation secure software extensions supported by hardware.
  • Design next-generation production and provisioning systems.
  • Collaborate with partners to implement open-source software.
  • Guide the direction of USB, I2C, I3C, UART, and PCI interfaces across hardware, software, research, and product teams.
  • Perform architectural modeling and validation, define microarchitecture, follow standards bodies, and develop infrastructure that enables trusted platforms using hardware security methods.
  • Work with customers and partners to identify and address security issues and threats.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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