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Offensive Hardware Security Researcher

NVIDIA· Architect
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Santa Clara, CA$184k - $287.5kFull-timePosted 6mo ago

About the role

Offensive hardware security researcher to identify hardware weaknesses in SoC/GPU designs, develop security tools, and research/execute advanced attack and mitigation techniques. On-site in Santa Clara, CA.

Responsibilities

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

Qualifications

  • 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 or more of the following fields: side-channel analysis/mitigation for cryptographic primitives; TEE/Confidential Computing/microarchitectural attacks; Symbolic Execution and/or fuzzing tools; JTAG, debugging, binary instrumentation frameworks, ChipWhisperer; Reverse-engineering (IDA Pro, Ghidra); ML techniques for side-channel attacks
  • Track record of advancing offensive security research through vulnerability discoveries, publications, and/or tools

Skills

Required:ARM/RISCV assemblyVeriloglow-level C programmingSecurity code reviewsSide-channel analysis
Nice to have:TEE/Confidential ComputingSymbolic Execution/FuzzingJTAG/ChipWhispererReverse engineering

Benefits

  • Equity
  • Benefits (see company page)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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