This role pays more than
89%
of similar roles. Most pay
$149,912–$213,468
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$182k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
The Offensive Hardware Security Researcher joins the security team to tackle diverse research challenges involving hardware vulnerabilities and silicon protection. This role involves researching vulnerabilities on cutting-edge SoC and GPU designs, developing advanced security tools, and integrating mitigations into the security architecture. The researcher will investigate side-channel, fault, and advanced physical attacks while performing security code reviews of complex firmware projects. Key technical requirements include proficiency in ARM/RISCV assembly, Verilog, and low-level C programming. Candidates should possess expertise in areas such as TEE, Confidential Computing, microarchitectural attacks, or symbolic execution and fuzzing tools. The role requires experience with JTAG, ChipWhisperer, and reverse-engineering tools like IDA Pro and Ghidra. The work focuses on the security of large SoC and ASIC architectures, specifically addressing vulnerabilities in GPU and AI accelerator designs.
Research and identify vulnerabilities on cutting-edge SoC and GPU designs.
Develop and utilize advanced security tools and techniques for hardware research.
Integrate the latest security mitigations into the existing architecture.
Research and exploit side-channel, fault, and advanced physical attacks.
Perform security code reviews of complex firmware projects using defensive coding practices.
Conduct reverse engineering on hardware components using tools like IDA Pro or Ghidra.
Utilize machine learning techniques to perform side-channel attacks.
What we're looking for
BS/BA degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
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 SoC and ASIC architecture and design.
Experience with security code reviews of complex firmware projects and defensive coding best practices.
Expertise in at least two areas: side-channel analysis, TEE (TrustZone, SE), Confidential Computing, or microarchitectural attacks.
Proficiency with symbolic execution, fuzzing tools, JTAG, debugging, binary instrumentation frameworks, and reverse-engineering tools like IDA Pro or Ghidra.
Track record of advancing offensive security research through vulnerability discoveries, publications, or tool development.
C
C++
Python
Reverse Engineering
IDA Pro
Ghidra
Embedded Systems
Side-channel Analysis
Fault Injection
Differential Power Analysis
Correlation Power Analysis
Electromagnetic Analysis
Glitching
Oscilloscopes
Logic Analyzers
JTAG
i2C
FPGA
Cryptography
Signals Processing
Vulnerability Research
Binary Exploitation
Firmware
reverse-engineering
C
C++
Python
Swift
Objective-C
Machine Learning
IDA
Ghidra
Fuzzing
Secure Boot
Memory Corruption
iOS
macOS