Offensive Security Researcher at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, HPC, IoTIndustries

Requirements

  • Proven experience in offensive security research (CVE’s, publications, patents, tools, bounties) with demonstrated responsible disclosure practices
  • Strong skills in reverse engineering and automation (IDA, Ghidra), fuzzing (AFL, WinAFL, Syzcaller), and exploitation (ROP, memory corruption)
  • Understanding of modern embedded cryptography and common security issues
  • Experience with ARM/X86/RISCV assembly (including shellcode development) and low-level C programming
  • Understanding and experience with micro-architectural attacks (side channels, fault injection, etc.)
  • Demonstrated skill in secure code reviews of complex source projects, and exposure to code quality practices (SDL, threat modeling)
  • Comfortable working collaboratively and remotely with others to accomplish complex team goals
  • BS/BA degree or equivalent experience
  • 12+ years in a security related field

Responsibilities

  • Identify vulnerabilities in embedded firmware and critical system software
  • Build proof of concepts (PoCs)
  • Collaborate with development teams to remediate vulnerabilities
  • Improve current tools and offensive practices for bug discovery and evaluation
  • Support remediation efforts
  • Exercise modern tools for modeling new attack vectors on unreleased and emerging technology platforms
  • Simulate real attacker behaviors and break systems by exploiting design assumptions
  • Effectively communicate findings for action
  • Increase resilience of end products against all forms of attack through close collaboration with extended SW and HW offensive security teams

Skills

IDA
Ghidra
AFL
WinAFL
Syzcaller
ROP
reverse engineering
fuzzing
exploitation
memory corruption
embedded cryptography
vulnerability research
PoC development

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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