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NVIDIA

Designs the chips and software that power AI

Offensive Hardware Security Researcher

Offensive Security & TestingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A BS/BA degree in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.
  • At least 6 years of work experience in a security-related field.
  • Experience with ARM/RISC-V assembly, Verilog, and low-level C programming.
  • Understanding of large system-on-chip (SoC) and application-specific integrated circuit (ASIC) architecture and design.
  • Experience conducting security code reviews of complex firmware projects and applying defensive coding best practices, including the Security Development Lifecycle (SDL) and threat modeling.
  • Ability to work collaboratively and remotely with multiple experts to accomplish complex goals.
  • Expertise in at least two of the following: side-channel analysis and mitigation for cryptographic primitives; trusted execution environments (TEE), including TrustZone or secure elements, confidential computing, or microarchitectural attacks; symbolic execution or fuzzing tools; JTAG, debugging, binary instrumentation frameworks, or ChipWhisperer; reverse engineering using IDA Pro or Ghidra; practical use of machine learning techniques for side-channel attacks.
  • A track record of advancing offensive security research through vulnerability discoveries, research publications, or developing security tools.

Responsibilities

  • Research vulnerabilities in cutting-edge SoC and GPU designs.
  • Develop and use security tools and techniques.
  • Guide the continuous integration of the latest mitigations into the security architecture.
  • Research and exploit side-channel, fault, and advanced physical attacks.

Desired Qualifications

  • Understanding of pre-silicon hardware design and testing.
  • Knowledge of key hardware security architecture components and their implementation in complex SoC designs.
  • A strong background in computer architecture, especially GPU or AI accelerator design.

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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