Offensive Hardware Security Researcher

We are now looking for an Offensive Hardware Security Researcher!

NVIDIA is seeking an outstanding Offensive Hardware Security Researcher to work on a wide variety of security research challenges. Do you excel at thinking like an attacker, identifying hardware weaknesses, creating tools and automation for hardware vulnerability research? Join our team to hack the future, fortify the silicon frontier, and shape the destiny of groundbreaking chip technology!

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  Research vulnerabilities on cutting-edge SoC and GPU designs 

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  Develop and use cutting-edge security tools and techniques 

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  Guide the continuous integration of latest mitigations into our security architecture

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  Research and exploit side-channel, fault, and advanced physical attacks 

• BS/BA degree in Computer Science or Computer Engineering or Electrical Engineering or equivalent experience

• 6+ years of work experience in a Security related field

• Experience with ARM/RISCV assembly, Verilog and low-level C programming

• Understanding of large SoC and ASIC architecture and design

• Experience with security code reviews of complex firmware projects and defensive coding best practices (SDL, threat modeling)

• Ability to work collaboratively and remotely with multiple experts to accomplish complex goals

• Expertise in two of more of the following fields:

  • Expertise in side-channel analysis and mitigation for cryptographic primitives

  • TEE (TrustZone, SE), Confidential Computing, and/or microarchitectural attacks

  • Proficiency with Symbolic Execution and/or fuzzing tools

  • JTAG, debugging, binary instrumentation frameworks, ChipWhisperer

  • Reverse-engineering (IDA Pro, Ghidra)

  • Practical experience in utilizing machine learning techniques for performing side-channel attacks

• Track record of advancing offensive security research field through vulnerability discoveries, research publications, and/or developing security tools 

• Understanding of pre-silicon hardware design and testing 

• Knowledge of key hardware security architecture components, and their implementation in complex SoC designs

• Strong background in computer architecture, especially GPU or AI accelerator design

Our invention of the GPU in 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”. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.