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!

What you will be doing:

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

What we need to see:

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

Ways to stand out from the crowd:

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!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.