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
- This role does require being in our Santa Clara office
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 other objective job-related factors. The expected base salary ranges for this position are: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.
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.Skills Required
- BS/BA in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
- 6+ years of work experience in a security-related field
- Experience with ARM and RISC-V assembly, Verilog, and low-level C programming
- Understanding of large SoC and ASIC architecture and design
- Experience performing security code reviews of complex firmware and applying defensive coding best practices (SDL, threat modeling)
- Ability to work collaboratively and remotely with multiple experts to accomplish complex goals
- Expertise in at least two of: side-channel analysis/mitigation, TEE (TrustZone/SE)/Confidential Computing, microarchitectural attacks, symbolic execution, fuzzing tools, JTAG/debugging/binary instrumentation/ChipWhisperer, reverse-engineering (IDA Pro, Ghidra), or ML techniques for side-channel attacks
- Track record of advancing offensive security research via vulnerability discoveries, publications, or security tools
- Understanding of pre-silicon hardware design and testing
- Knowledge of hardware security architecture components and their implementation in complex SoC designs
- Strong background in computer architecture, especially GPU or AI accelerator design
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s 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, NVIDIA is increasingly known as “the AI computing company.”
